Björkegren, Johan L.M.
Karolinska Institutet · Icahn School of Medicine at Mount Sinai
9 papers on CoChatORCID 0000-0003-1945-7425
Most cited papers
- Verified
PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data
Franzén, O., Gan, L.-M., & Björkegren, J. L. M. (2019) · Database
Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks
Cited by 1,551
- Verified
Cardiometabolic risk loci share downstream cis- and trans-gene regulation across tissues and diseases
Franzén, O., Ermel, R., Cohain, A., Akers, N. K., Di Narzo, A., Talukdar, H. A., Foroughi-Asl, H., Giambartolomei, C., Fullard, J. F., Sukhavasi, K., et al. (2016) · Science
Genetic Associations and EpidemiologyNutrition, Genetics, and Disease
Cited by 288
- Verified
Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
Novikova, G., Kapoor, M., TCW, J., Abud, E. M., Efthymiou, A. G., Chen, S. X., Cheng, H., Fullard, J. F., Bendl, J., Liu, Y., et al. (2021) · Nature Communications
Alzheimer's disease research and treatmentsGenetic Associations and Epidemiology
Cited by 214
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Integrative single-cell meta-analysis reveals disease-relevant vascular cell states and markers in human atherosclerosis
Mosquera, J. V., Auguste, G., Wong, D., Turner, A. W., Hodonsky, C. J., Alvarez-Yela, A. C., Song, Y., Cheng, Q., Lino Cardenas, C. L., Theofilatos, K., et al. (2023) · Cell Reports
Atherosclerosis and Cardiovascular DiseasesSingle-cell and spatial transcriptomics
Cited by 123
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Pericyte-specific vascular expression of SARS-CoV-2 receptor ACE2 – implications for microvascular inflammation and hypercoagulopathy in COVID-19
He, L., Mäe, M. A., Muhl, L., Sun, Y., Pietilä, R., Nahar, K., Liébanas, E. V., Fagerlund, M. J., Oldner, A., Liu, J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory)
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 116
- Verified
Prediction of Causal Candidate Genes in Coronary Artery Disease Loci
Brænne, I., Civelek, M., Vilne, B., Di Narzo, A., Johnson, A. D., Zhao, Y., Reiz, B., Codoni, V., Webb, T. R., Foroughi Asl, H., et al. (2015) · Arteriosclerosis, Thrombosis, and Vascular Biology
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 109
- Verified
A Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism
Seldin, M. M., Koplev, S., Rajbhandari, P., Vergnes, L., Rosenberg, G. M., Meng, Y., Pan, C., Phuong, T. M. N., Gharakhanian, R., Che, N., et al. (2018) · Cell Metabolism
Adipose Tissue and MetabolismBioinformatics and Genomic Networks
Cited by 84
- Verified
Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine
Johnson, K. W., Shameer, K., Glicksberg, B. S., Readhead, B., Sengupta, P. P., Björkegren, J. L. M., Kovacic, J. C., & Dudley, J. T. (2017) · JACC: Basic to Translational Science
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 83
- Verified
Carbonyl reductase 1 catalyzes 20β-reduction of glucocorticoids, modulating receptor activation and metabolic complications of obesity
Morgan, R. A., Beck, K. R., Nixon, M., Homer, N. Z. M., Crawford, A. A., Melchers, D., Houtman, R., Meijer, O. C., Stomby, A., Anderson, A. J., et al. (2017) · Scientific Reports
Adipokines, Inflammation, and Metabolic DiseasesEstrogen and related hormone effects
Cited by 31
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