The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
An investigation on electronic nose diagnosis of lung cancer
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Citations
Cites
Electronic Nose: Current Status and Future Trends
Röck, F., Barsan, N., & Weimar, U. (2008) · Chemical Reviews · doi:10.1021/cr068121q · Cited by 1,437
Massart, D. L. (1988) · Cited by 1,347
Diagnosing lung cancer in exhaled breath using gold nanoparticles
Peng, G., Tisch, U., Adams, O., Hakim, M., Shehada, N., Broza, Y. Y., Billan, S., Abdah-Bortnyak, R., Kuten, A., & Haick, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.235 · Cited by 1,263
Diagnostic potential of breath analysis—focus on volatile organic compounds
Miekisch, W., Schubert, J. K., & Noeldge-Schomburg, G. F. E. (2004) · Clinica Chimica Acta · doi:10.1016/j.cccn.2004.04.023 · Cited by 1,096
Quantitative Analysis of Urine Vapor and Breath by Gas-Liquid Partition Chromatography
Pauling, L., Robinson, A. B., Teranishi, R., & Cary, P. (1971) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.68.10.2374 · Cited by 1,025
Cancer risk and oxidative DNA damage in man
Loft, S., & Poulsen, H. E. (1996) · Journal of Molecular Medicine · doi:10.1007/bf00207507 · Cited by 945
Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study
Phillips, M., Gleeson, K., Hughes, J. M. B., Greenberg, J., Cataneo, R. N., Baker, L., & McVay, W. P. (1999) · The Lancet · doi:10.1016/s0140-6736(98)07552-7 · Cited by 918
Fraser., C. G. (1988) · Clinica Chimica Acta · doi:10.1016/0009-8981(88)90195-7 · Cited by 896
A water-soluble cationic oligopyrene derivative: Spectroscopic studies and sensing applications
Chen, Y., Bai, H., Chen, Q., Li, C., & Shi, G. (2009) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2009.02.047 · Cited by 845
Di Natale, C., Macagnano, A., Martinelli, E., Paolesse, R., D'Arcangelo, G., Roscioni, C., Finazzi-Agrò, A., & D'Amico, A. (2003) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(03)00086-1 · Cited by 663
Self-citation
Cited by
Progress and prospects of early detection in lung cancer
Blandin Knight, S., Crosbie, P. A., Balata, H., Chudziak, J., Hussell, T., & Dive, C. (2017) · Open Biology · doi:10.1098/rsob.170070 · Cited by 935
Review—Non-Invasive Monitoring of Human Health by Exhaled Breath Analysis: A Comprehensive Review
Das, S., & Pal, M. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab67a6 · Cited by 466
Advances in Electronic-Nose Technologies Developed for Biomedical Applications
Wilson, A. D., & Baietto, M. (2011) · Sensors · doi:10.3390/s110101105 · Cited by 400
Nanomaterial-Based Sensors for Detection of Disease by Volatile Organic Compounds
Broza, Y. Y., & Haick, H. (2013) · Nanomedicine · doi:10.2217/nnm.13.64 · Cited by 358
Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD
Ratiu, I. A., Ligor, T., Bocos-Bintintan, V., Mayhew, C. A., & Buszewski, B. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm10010032 · Cited by 320
Metadata
- Authors
- D’Amico, A., Pennazza, G., Santonico, M., Martinelli, E., Roscioni, C., Galluccio, G., Paolesse, R., & Di Natale, C.
- Venue
- Lung Cancer
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 68
- Issue
- 2
- Pages
- 170-176
- ISSN
- 0169-5002 (ISSN-L)
- OpenAlex
- W2003176591
- Cited by
- 330
- References
- 30
- FWCI
- 9.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: An investigation on electronic nose diagnosis of lung cancer. https://app.cochat.ai/papers/10.1016/j.lungcan.2009.11.003
- The paper
- D’Amico, A., Pennazza, G., Santonico, M., Martinelli, E., Roscioni, C., Galluccio, G., Paolesse, R., & Di Natale, C. (2010). An investigation on electronic nose diagnosis of lung cancer. Lung Cancer. https://doi.org/10.1016/j.lungcan.2009.11.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
