International Organization for Standardization

Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement

Graham, B. L., Steenbruggen, I., Miller, M. R., Barjaktarevic, I. Z., Cooper, B. G., Hall, G. L., Hallstrand, T. S., Kaminsky, D. A., McCarthy, K., McCormack, M. C., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201908-1590st · Cited by 4,305

Are we speaking the same language? Recommendations for a definition and categorization framework for plastic debris

Hartmann, N. B., Hüffer, T., Thompson, R. C., Hassellöv, M., Verschoor, A., Daugaard, A. E., Rist, S., Karlsson, T., Brennholt, N., Cole, M., et al. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.8b05297 · Cited by 2,881

The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019)

Umemura, S., Arima, H., Arima, S., Asayama, K., Dohi, Y., Hirooka, Y., Horio, T., Hoshide, S., Ikeda, S., Ishimitsu, T., et al. (2019) · Hypertension Research · doi:10.1038/s41440-019-0284-9 · Cited by 1,880

Science, technology and the future of small autonomous drones

Floreano, D., & Wood, R. J. (2015) · Nature · doi:10.1038/nature14542 · Cited by 1,476

Imaging biomarker roadmap for cancer studies

O'Connor, J. P. B., Aboagye, E. O., Adams, J. E., Aerts, H. J. W. L., Barrington, S. F., Beer, A. J., Boellaard, R., Bohndiek, S. E., Brady, M., Brown, G., et al. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.162 · Cited by 1,091

Green human resource management research in emergence: A review and future directions

Ren, S., Tang, G., & E. Jackson, S. (2018) · Asia Pacific Journal of Management · doi:10.1007/s10490-017-9532-1 · Cited by 1,002

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01772-9 · Cited by 1,039

Finding and understanding bugs in C compilers

Yang, X., Chen, Y., Eide, E., & Regehr, J. (2011) · Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/1993498.1993532 · Cited by 825

The LINPACK Benchmark: past, present and future

Dongarra, J. J., Luszczek, P., & Petitet, A. (2003) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.728 · Cited by 813

Polymeric tissue adhesives

Nam, S., & Mooney, D. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00798 · Cited by 764

A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data

Kahn, M. G., Callahan, T. J., Barnard, J., Bauck, A. E., Brown, J., Davidson, B. N., Estiri, H., Goerg, C., Holve, E., Johnson, S. G., et al. (2016) · eGEMs (Generating Evidence & Methods to improve patient outcomes) · doi:10.13063/2327-9214.1244 · Cited by 697

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · BMJ · doi:10.1136/bmj-2022-070904 · Cited by 665

Does food color influence taste and flavor perception in humans?

Spence, C., Levitan, C. A., Shankar, M. U., & Zampini, M. (2010) · Chemosensory Perception · doi:10.1007/s12078-010-9067-z · Cited by 540

Evaluation of diagnostic tests when there is no gold standard. A review of methods

Rutjes, A., Reitsma, J., Coomarasamy, A., Khan, K., & Bossuyt, P. (2007) · Health Technology Assessment · doi:10.3310/hta11500 · Cited by 524

Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries

Aburto, J. M., Schöley, J., Kashnitsky, I., Zhang, L., Rahal, C., Missov, T. I., Mills, M. C., Dowd, J. B., & Kashyap, R. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyab207 · Cited by 531

Artificial intelligence: Implications for the future of work

Howard, J. (2019) · American Journal of Industrial Medicine · doi:10.1002/ajim.23037 · Cited by 522

Digital health: a path to validation

Mathews, S. C., McShea, M. J., Hanley, C. L., Ravitz, A., Labrique, A. B., & Cohen, A. B. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0111-3 · Cited by 508

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

de Hond, A. A. H., Leeuwenberg, A. M., Hooft, L., Kant, I. M. J., Nijman, S. W. J., van Os, H. J. A., Aardoom, J. J., Debray, T. P. A., Schuit, E., van Smeden, M., et al. (2022) · npj Digital Medicine · doi:10.1038/s41746-021-00549-7 · Cited by 499

Global Maps of Travel Time to Healthcare Facilities

Weiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligorić, K., Bavadekar, S., Gabrilovich, E., Bertozzi-Villa, A., Rozier, J., Gibson, H. S., Shekel, T., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1059-1 · Cited by 494

Cefiderocol: A Siderophore Cephalosporin with Activity Against Carbapenem-Resistant and Multidrug-Resistant Gram-Negative Bacilli

Zhanel, G. G., Golden, A. R., Zelenitsky, S., Wiebe, K., Lawrence, C. K., Adam, H. J., Idowu, T., Domalaon, R., Schweizer, F., Zhanel, M. A., et al. (2019) · Drugs · doi:10.1007/s40265-019-1055-2 · Cited by 446

Isotope-abundance variations of selected elements (IUPAC Technical Report)

Coplen, T. B., Böhlke, J. K., De Bièvre, P., Ding, T., Holden, N. E., Hopple, J. A., Krouse, H. R., Lamberty, A., Peiser, H. S., Revesz, K., et al. (2002) · Pure and Applied Chemistry · doi:10.1351/pac200274101987 · Cited by 437

A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation

Asgari, E., Montaña-Brown, N., Dubois, M., Khalil, S., Balloch, J., Yeung, J. A., & Pimenta, D. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01670-7 · Cited by 423

The Carbon Footprint of Surgical Operations

Rizan, C., Steinbach, I., Nicholson, R., Lillywhite, R., Reed, M., & Bhutta, M. F. (2020) · Annals of Surgery · doi:10.1097/sla.0000000000003951 · Cited by 400

Blood pressure and its variability: classic and novel measurement techniques

Schutte, A. E., Kollias, A., & Stergiou, G. S. (2022) · Nature Reviews Cardiology · doi:10.1038/s41569-022-00690-0 · Cited by 335

A proposed approach to systematically identify and monitor the corporate political activity of the food industry with respect to public health using publicly available information

Mialon, M., Swinburn, B., & Sacks, G. (2015) · Obesity Reviews · doi:10.1111/obr.12289 · Cited by 318

Technologies for Continuous Glucose Monitoring: Current Problems and Future Promises

Vaddiraju, S., Burgess, D. J., Tomazos, I., Jain, F. C., & Papadimitrakopoulos, F. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400632 · Cited by 285

System accuracy evaluation of 43 blood glucose monitoring systems for self-monitoring of blood glucose according to DIN EN ISO 15197

Freckmann, G., Schmid, C., Baumstark, A., Pleus, S., Link, M., & Haug, C. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600510 · Cited by 237

Thermal conductivity measurement techniques for characterizing thermal energy storage materials – a review

Palacios, A., Cong, L., Navarro, M. E., Ding, Y., & Barreneche, C. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.03.020 · Cited by 237

Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review

Holthe, T., Halvorsrud, L., Karterud, D., Hoel, K.-A., & Lund, A. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s154717 · Cited by 199

Transdermal Uptake of Diethyl Phthalate and Di( n -butyl) Phthalate Directly from Air: Experimental Verification

Weschler, C. J., Bekö, G., Koch, H. M., Salthammer, T., Schripp, T., Toftum, J., & Clausen, G. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1409151 · Cited by 209

Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices

Pullano, S. A., Greco, M., Bianco, M. G., Foti, D., Brunetti, A., & Fiorillo, A. S. (2022) · Theranostics · doi:10.7150/thno.64035 · Cited by 210

Reference intervals: the way forward

Ceriotti, F., Hinzmann, R., & Panteghini, M. (2009) · Annals of Clinical Biochemistry: International Journal of Laboratory Medicine · doi:10.1258/acb.2008.008170 · Cited by 199

Toxic or not toxic? The specifications of the standard ISO 10993-5 are not explicit enough to yield comparable results in the cytotoxicity assessment of an identical medical device

Gruber, S., & Nickel, A. (2023) · Frontiers in Medical Technology · doi:10.3389/fmedt.2023.1195529 · Cited by 200

The carbon footprint of pathology testing

McAlister, S., Barratt, A. L., Bell, K. J., & McGain, F. (2020) · Medical Journal of Australia · doi:10.5694/mja2.50583 · Cited by 198

The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool

Resnik, D. B., & Hosseini, M. (2025) · AI and Ethics · doi:10.1007/s43681-024-00493-8 · Cited by 228

The effects of skin pigmentation on the accuracy of pulse oximetry in measuring oxygen saturation: a systematic review and meta-analysis

Shi, C., Goodall, M., Dumville, J., Hill, J., Norman, G., Hamer, O., Clegg, A., Watkins, C. L., Georgiou, G., Hodkinson, A., et al. (2022) · doi:10.1101/2022.02.16.22271062 · Cited by 158

Application of sunscreen--theory and reality

Petersen, B., & Wulf, H. C. (2014) · Photodermatology, Photoimmunology & Photomedicine · doi:10.1111/phpp.12099 · Cited by 143

Building and Auditing Fair Algorithms: A Case Study in Candidate Screening

Wilson, C., Ghosh, A., Jiang, S., Mislove, A., Baker, L., Szary, J., Trindel, K., & Polli, F. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445928 · Cited by 133

Life cycle assessment of two alternative bioenergy systems involving Salix spp. biomass: Bioethanol production and power generation

González-García, S., Iribarren, D., Susmozas, A., Dufour, J., & Murphy, R. J. (2012) · Applied Energy · doi:10.1016/j.apenergy.2012.02.022 · Cited by 124

Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

Mirani, A. A., Velasco-Hernandez, G., Awasthi, A., & Walsh, J. (2022) · Sensors · doi:10.3390/s22155836 · Cited by 119

Interferences and Limitations in Blood Glucose Self-Testing: An Overview of the Current Knowledge

Erbach, M., Freckmann, G., Hinzmann, R., Kulzer, B., Ziegler, R., Heinemann, L., & Schnell, O. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816641433 · Cited by 115

The Financial and Environmental Costs of Reusable and Single-Use Plastic Anaesthetic Drug Trays

McGain, F., McAlister, S., McGavin, A., & Story, D. (2010) · Anaesthesia and Intensive Care · doi:10.1177/0310057x1003800320 · Cited by 114

Multilaboratory Survey To Evaluate Salmonella Prevalence in Diarrheic and Nondiarrheic Dogs and Cats in the United States between 2012 and 2014

Reimschuessel, R., Grabenstein, M., Guag, J., Nemser, S. M., Song, K., Qiu, J., Clothier, K. A., Byrne, B. A., Marks, S. L., Cadmus, K., et al. (2017) · Journal of Clinical Microbiology · doi:10.1128/jcm.02137-16 · Cited by 105

Empirical evidence on the link between object-oriented measures and external quality attributes: a systematic literature review

Jabangwe, R., Börstler, J., Šmite, D., & Wohlin, C. (2015) · Empirical Software Engineering · doi:10.1007/s10664-013-9291-7 · Cited by 97

Mutations in TBL1X Are Associated With Central Hypothyroidism

Heinen, C. A., Losekoot, M., Sun, Y., Watson, P. J., Fairall, L., Joustra, S. D., Zwaveling-Soonawala, N., Oostdijk, W., van den Akker, E. L. T., Alders, M., et al. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2531 · Cited by 92

Framework for consequential life cycle assessment of pyrolysis biorefineries: A case study for the conversion of primary forestry residues

Brassard, P., Godbout, S., & Hamelin, L. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110549 · Cited by 91

Nutrition therapy within and beyond gestational diabetes

Hernandez, T. L., Mande, A., & Barbour, L. A. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.04.004 · Cited by 86

Use and accuracy of inpatient CGM during the COVID-19 pandemic: an observational study of general medicine and ICU patients

Longo, R. R., Elias, H., Khan, M., & Seley, J. J. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211008446 · Cited by 89

Prevalence and antimicrobial resistance of Salmonella serovars isolated from poultry in Ghana

ANDOH, L. A., DALSGAARD, A., OBIRI-DANSO, K., NEWMAN, M. J., BARCO, L., & OLSEN, J. E. (2016) · Epidemiology and Infection · doi:10.1017/s0950268816001126 · Cited by 88

Clinical Performance Evaluation of Continuous Glucose Monitoring Systems: A Scoping Review and Recommendations for Reporting

Freckmann, G., Eichenlaub, M., Waldenmaier, D., Pleus, S., Wehrstedt, S., Haug, C., Witthauer, L., Jendle, J., Hinzmann, R., Thomas, A., et al. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231190941 · Cited by 86

Moisture and temperature induced swelling/shrinkage of softwood and hardwood glulam and LVL: An experimental study

Chiniforush, A. A., Akbarnezhad, A., Valipour, H., & Malekmohammadi, S. (2019) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2019.02.114 · Cited by 85

Quantification of the cost and potential environmental effects of unused pharmaceutical products in cataract surgery

Tauber, J., Chinwuba, I., Kleyn, D., Rothschild, M., Kahn, J., & Thiel, C. L. (2019) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2019.2901 · Cited by 83

Automated 'oscillometric' blood pressure measuring devices: how they work and what they measure

Sharman, J. E., Tan, I., Stergiou, G. S., Lombardi, C., Saladini, F., Butlin, M., Padwal, R., Asayama, K., Avolio, A., Brady, T. M., et al. (2022) · Journal of Human Hypertension · doi:10.1038/s41371-022-00693-x · Cited by 84

Cursor measures for motion-impaired computer users

Keates, S., Hwang, F., Langdon, P., Clarkson, P. J., & Robinson, P. (2002) · Proceedings of the fifth international ACM conference on Assistive technologies · doi:10.1145/638249.638274 · Cited by 84

Prevalence and Source Tracing of PFAS in Shallow Groundwater Used for Drinking Water in Wisconsin, USA

Silver, M., Phelps, W., Masarik, K., Burke, K., Zhang, C., Schwartz, A., Wang, M., Nitka, A. L., Schutz, J., Trainor, T., et al. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c02826 · Cited by 76

Data quality and the Internet of Things

Liu, C., Nitschke, P., Williams, S. P., & Zowghi, D. (2020) · Computing · doi:10.1007/s00607-019-00746-z · Cited by 71

Analytical Performance Requirements for Systems for Self-Monitoring of Blood Glucose With Focus on System Accuracy: Relevant Differences Among ISO 15197:2003, ISO 15197:2013, and Current FDA Recommendations

Freckmann, G., Schmid, C., Baumstark, A., Rutschmann, M., Haug, C., & Heinemann, L. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815580160 · Cited by 70

Performance variability of seven commonly used self-monitoring of blood glucose systems: clinical considerations for patients and providers

Brazg, R. L., Klaff, L. J., & Parkin, C. G. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700117 · Cited by 68

Determining the climate impact of food for use in a climate tax—design of a consistent and transparent model

Moberg, E., Walker Andersson, M., Säll, S., Hansson, P.-A., & Röös, E. (2019) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-019-01597-8 · Cited by 67

Machine learning-based clinical decision support using laboratory data

Çubukçu, H. C., Topcu, D. İ., & Yenice, S. (2024) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2023-1037 · Cited by 66

Impact of the phlebotomy training based on CLSI/NCCLS H03-A6 – procedures for the collection of diagnostic blood

Lima-Oliveira, G., Lippi, G., Salvagno, G. L., Montagnana, M., Picheth, G., & Guidi, G. C. (2012) · Biochemia Medica · doi:10.11613/bm.2012.036 · Cited by 66

System accuracy evaluation of 18 CE-marked current-generation blood glucose monitoring systems based on EN ISO 15197:2015

Pleus, S., Baumstark, A., Jendrike, N., Mende, J., Link, M., Zschornack, E., Haug, C., & Freckmann, G. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001067 · Cited by 63

Web accessibility for individuals with cognitive deficits: A comparative study between an existing commercial Web and its cognitively accessible equivalent

Sevilla, J., Herrera, G., Martínez, B., & Alcantud, F. (2007) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1279700.1279702 · Cited by 61

Improving productivity, costs and environmental impact in International Eye Health Services: using the ‘Eyefficiency’ cataract surgical services auditing tool to assess the value of cataract surgical services

Goel, H., Wemyss, T. A., Harris, T., Steinbach, I., Stancliffe, R., Cassels-Brown, A., Thomas, P. B. M., & Thiel, C. L. (2021) · BMJ Open Ophthalmology · doi:10.1136/bmjophth-2020-000642 · Cited by 57

Performance of Cleared Blood Glucose Monitors

Klonoff, D. C., & Prahalad, P. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815584797 · Cited by 59

Defining & assessing the quality, usability, and utilization of immunization data

Bloland, P., & MacNeil, A. (2019) · BMC Public Health · doi:10.1186/s12889-019-6709-1 · Cited by 59

Life Cycle Assessment of Bioenergy and Bio-Based Products from Perennial Grasses Cultivated on Marginal Land in the Mediterranean Region

Schmidt, T., Fernando, A. L., Monti, A., & Rettenmaier, N. (2015) · BioEnergy Research · doi:10.1007/s12155-015-9691-1 · Cited by 58

Self-Monitoring of Blood Glucose as an Integral Part in the Management of People with Type 2 Diabetes Mellitus

Pleus, S., Freckmann, G., Schauer, S., Heinemann, L., Ziegler, R., Ji, L., Mohan, V., Calliari, L. E., & Hinzmann, R. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01254-8 · Cited by 55

STRIDE BP international initiative for accurate blood pressure measurement: Systematic review of published validation studies of blood pressure measuring devices

Stergiou, G. S., O'Brien, E., Myers, M., Palatini, P., Parati, G., Kollias, A., Birmpas, D., Kyriakoulis, K., Bountzona, I., Stambolliu, E., et al. (2019) · The Journal of Clinical Hypertension · doi:10.1111/jch.13710 · Cited by 53

Taxonomy of Machine Learning Safety: A Survey and Primer

Mohseni, S., Wang, H., Xiao, C., Yu, Z., Wang, Z., & Yadawa, J. (2023) · ACM Computing Surveys · doi:10.1145/3551385 · Cited by 53

Air-liquid interface culture promotes maturation and allows environmental exposure of pluripotent stem cell–derived alveolar epithelium

Abo, K. M., Sainz de Aja, J., Lindstrom-Vautrin, J., Alysandratos, K.-D., Richards, A., Garcia-de-Alba, C., Huang, J., Hix, O. T., Werder, R. B., Bullitt, E., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.155589 · Cited by 48

A framework for establishing trust in the cloud

Abbadi, I. M., & Alawneh, M. (2012) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2012.06.006 · Cited by 45

Insights on the chemical basis of the astringency of Spanish red wines

Sáenz-Navajas, M.-P., Avizcuri, J.-M., Ferreira, V., & Fernández-Zurbano, P. (2012) · Food Chemistry · doi:10.1016/j.foodchem.2012.03.060 · Cited by 47

Accuracy Evaluation of Contour Next Compared with Five Blood Glucose Monitoring Systems Across a Wide Range of Blood Glucose Concentrations Occurring in a Clinical Research Setting

Klaff, L. J., Brazg, R., Hughes, K., Tideman, A. M., Schachner, H. C., Stenger, P., Pardo, S., Dunne, N., & Parkes, J. L. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0069 · Cited by 46

Folate Receptor α-Modified Nanoparticles for Targeting of the Central Nervous System

Kuplennik, N., Lang, K., Steinfeld, R., & Sosnik, A. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b14659 · Cited by 45

Identification of Chemical Clusters Discriminators of the Roast Degree in Arabica and Robusta Coffee Beans

Bicho, N. C., Leitão, A. E., Ramalho, J. C., & Lidon, F. C. (2011) · European Food Research and Technology · doi:10.1007/s00217-011-1518-5 · Cited by 44

ISO 15189 is a sufficient instrument to guarantee high-quality manufacture of laboratory developed tests for in-house-use conform requirements of the European In-Vitro-Diagnostics Regulation: Joint opinion of task force on European regulatory affairs and working group accreditation and ISO/CEN standards of the European Federation of Clinical Chemistry and Laboratory Medicine

Vanstapel, F. J. L. A., Orth, M., Streichert, T., Capoluongo, E. D., Oosterhuis, W. P., Çubukçu, H. C., Bernabeu-Andreu, F. A., Thelen, M., Jacobs, L. H. J., Linko, S., et al. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2023-0045 · Cited by 45

A new method for pharmaceutical compounding and storage of anti-VEGF biologics for intravitreal use in silicone oil-free prefilled plastic syringes

Lode, H. E., Gjølberg, T. T., Foss, S., Sivertsen, M. S., Brustugun, J., Andersson, Y., Jørstad, Ø. K., Moe, M. C., & Andersen, J. T. (2019) · Scientific Reports · doi:10.1038/s41598-019-54226-7 · Cited by 40

Environmental heat exposure and cognitive performance in older adults: a controlled trial

Trezza, B. M., Apolinario, D., de Oliveira, R. S., Busse, A. L., Gonçalves, F. L. T., Saldiva, P. H. N., & Jacob-Filho, W. (2015) · AGE · doi:10.1007/s11357-015-9783-z · Cited by 42

Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories

Carobene, A., Cabitza, F., Bernardini, S., Gopalan, R., Lennerz, J. K., Weir, C., & Cadamuro, J. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2022-1030 · Cited by 42

Quantitative risk assessment of human salmonellosis in the smallholder pig value chains in urban of Vietnam

Dang-Xuan, S., Nguyen-Viet, H., Unger, F., Pham-Duc, P., Grace, D., Tran-Thi, N., Barot, M., Pham-Thi, N., & Makita, K. (2017) · International Journal of Public Health · doi:10.1007/s00038-016-0921-x · Cited by 41

Roadmap to net-zero carbon emissions in commercial microalgae-based products: environmental sustainability and carbon offset costs

Dias, R. R., Deprá, M. C., Zepka, L. Q., & Jacob-Lopes, E. (2022) · Journal of Applied Phycology · doi:10.1007/s10811-022-02725-y · Cited by 40

Effect of grape seed extract on skin fibroblasts exposed to UVA light and its photostability in sunscreen formulation

Yarovaya, L., Waranuch, N., Wisuitiprot, W., & Khunkitti, W. (2021) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.13711 · Cited by 40

Life cycle impacts of ethanol production from spruce wood chips under high-gravity conditions

Janssen, M., Xiros, C., & Tillman, A.-M. (2016) · Biotechnology for Biofuels · doi:10.1186/s13068-016-0468-3 · Cited by 39

A critical view on social performance assessment at company level: Social life cycle analysis of an algae case

Rafiaani, P., Kuppens, T., Thomassen, G., Van Dael, M., Azadi, H., Lebailly, P., & Van Passel, S. (2020) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-019-01702-x · Cited by 38

Composite Panels from Wood Waste: A Detailed Review of Processes, Standards, and Applications

Amarasinghe, I. T., Qian, Y., Gunawardena, T., Mendis, P., & Belleville, B. (2024) · Journal of Composites Science · doi:10.3390/jcs8100417 · Cited by 37

Life cycle assessment: from industry to policy to politics

Jegen, M. (2024) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-023-02273-8 · Cited by 36

Utilization of Data Below the Analytical Limit of Quantitation in Pharmacokinetic Analysis and Modeling: Promoting Interdisciplinary Debate

Hecht, M., Veigure, R., Couchman, L., S Barker, C. I., Standing, J. F., Takkis, K., Evard, H., Johnston, A., Herodes, K., Leito, I., et al. (2018) · Bioanalysis · doi:10.4155/bio-2018-0078 · Cited by 34

Hematocrit compensation in electrochemical blood glucose monitoring systems

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