Jonathan D. Mosley

6.0k total citations · 1 hit paper
91 papers, 2.0k citations indexed

About

Jonathan D. Mosley is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Jonathan D. Mosley has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 26 papers in Cardiology and Cardiovascular Medicine and 24 papers in Molecular Biology. Recurrent topics in Jonathan D. Mosley's work include Genetic Associations and Epidemiology (25 papers), Cardiovascular Function and Risk Factors (10 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Jonathan D. Mosley is often cited by papers focused on Genetic Associations and Epidemiology (25 papers), Cardiovascular Function and Risk Factors (10 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Jonathan D. Mosley collaborates with scholars based in United States, Australia and Denmark. Jonathan D. Mosley's co-authors include Dan M. Roden, Ruth A. Keri, Quinn S. Wells, Christian M. Shaffer, Joshua C. Denny, Sara L. Van Driest, Jason H. Karnes, Josh F. Peterson, Charles C. Hong and Kristen L. Lozada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Circulation.

In The Last Decade

Jonathan D. Mosley

87 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predictive Accuracy of a Polygenic Risk Score Compared With a Clinical Risk Score for Incident Coronary Heart Disease

2020 186 citations Jonathan D. Mosley, Deepak K. Gupta et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan D. Mosley United States	24	725	444	436	268	260	91	2.0k
Jens Gaedeke Germany	19	556 0.8×	495 1.1×	338 0.8×	160 0.6×	245 0.9×	37	2.1k
Christian M. Shaffer United States	22	457 0.6×	328 0.7×	395 0.9×	197 0.7×	146 0.6×	52	1.4k
Michael S. Lipkowitz United States	30	637 0.9×	201 0.5×	684 1.6×	375 1.4×	265 1.0×	84	2.8k
Beatriz Fernández‐Fernández Spain	29	850 1.2×	157 0.4×	302 0.7×	305 1.1×	206 0.8×	75	2.7k
Takahide Kohro Japan	27	1.1k 1.6×	141 0.3×	396 0.9×	477 1.8×	175 0.7×	88	2.5k
Piet Meijer Netherlands	28	269 0.4×	312 0.7×	379 0.9×	581 2.2×	301 1.2×	143	2.7k
Bruno Flamion Belgium	27	646 0.9×	129 0.3×	202 0.5×	208 0.8×	208 0.8×	70	2.3k
Albert G. Frauman Australia	28	519 0.7×	139 0.3×	461 1.1×	248 0.9×	387 1.5×	68	2.4k
Rikje Ruiter Netherlands	26	607 0.8×	181 0.4×	198 0.5×	239 0.9×	325 1.3×	59	2.0k
Behzad Najafian United States	32	768 1.1×	268 0.6×	202 0.5×	485 1.8×	378 1.5×	159	3.6k

Countries citing papers authored by Jonathan D. Mosley

Since Specialization

Citations

This map shows the geographic impact of Jonathan D. Mosley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan D. Mosley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Mosley more than expected).

Fields of papers citing papers by Jonathan D. Mosley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Mosley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan D. Mosley. The network helps show where Jonathan D. Mosley may publish in the future.

Co-authorship network of co-authors of Jonathan D. Mosley

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Mosley. A scholar is included among the top collaborators of Jonathan D. Mosley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan D. Mosley. Jonathan D. Mosley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Stocco, Gabriele, Katherine N. Theken, Alyson L. Dickson, et al.. (2024). Pharmacogenomics polygenic risk score: Ready or not for prime time?. Clinical and Translational Science. 17(8). e13893–e13893. 7 indexed citations

Chatterjee, Emeli, Rodosthenis S. Rodosthenous, Ville Kujala, et al.. (2023). Circulating extracellular vesicles in human cardiorenal syndrome promote renal injury in a kidney-on-chip system. JCI Insight. 8(22). 17 indexed citations

Bagheri, Minoo, Vineet Agrawal, Jeffrey Annis, et al.. (2023). Genetics of Pulmonary Pressure and Right Ventricle Stress Identify Diabetes as a Causal Risk Factor. Journal of the American Heart Association. 12(15). e029190–e029190. 4 indexed citations

Agrawal, Vineet, Ali Manouchehri, Mingjian Shi, et al.. (2023). Identification of Clinical Drivers of Left Atrial Enlargement Through Genomics of Left Atrial Size. Circulation Heart Failure. 17(1). e010557–e010557. 3 indexed citations

Mosley, Jonathan D., et al.. (2022). Obesity influences composition of salivary and fecal microbiota and impacts the interactions between bacterial taxa. Physiological Reports. 10(7). e15254–e15254. 30 indexed citations

Shi, Mingjian, Chuan Wang, Hao Mei, et al.. (2022). Genetic Architecture of Plasma Alpha‐Aminoadipic Acid Reveals a Relationship With High‐Density Lipoprotein Cholesterol. Journal of the American Heart Association. 11(11). e024388–e024388. 10 indexed citations

Dickson, Alyson L., Wenjian Yang, W. Dale Plummer, et al.. (2022). Race, Genotype, and Azathioprine Discontinuation. Annals of Internal Medicine. 175(8). 1092–1099. 16 indexed citations

LaBella, Abigail L., Mingjian Shi, Antonis Rokas, et al.. (2022). Microbiome-associated human genetic variants impact phenome-wide disease risk. Proceedings of the National Academy of Sciences. 119(26). e2200551119–e2200551119. 15 indexed citations

Bagheri, Minoo, Cecilia P. Chung, Alyson L. Dickson, et al.. (2022). White blood cell ranges and frequency of neutropenia by Duffy genotype status. Blood Advances. 7(3). 406–409. 10 indexed citations

10.

Wells, Quinn S., Minoo Bagheri, Aaron W. Aday, et al.. (2021). Polygenic Risk Score to Identify Subclinical Coronary Heart Disease Risk in Young Adults. Circulation Genomic and Precision Medicine. 14(5). e003341–e003341. 14 indexed citations

11.

Feng, QiPing, Wei‐Qi Wei, Cecilia P. Chung, et al.. (2018). Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational study using electronic health records. PLoS Medicine. 15(8). e1002642–e1002642. 24 indexed citations

12.

Karnes, Jason H., Lisa Bastarache, Christian M. Shaffer, et al.. (2017). Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants. Science Translational Medicine. 9(389). 74 indexed citations

13.

Karnes, Jason H., Christian M. Shaffer, Lisa Bastarache, et al.. (2017). Comparison of HLA allelic imputation programs. PLoS ONE. 12(2). e0172444–e0172444. 44 indexed citations

14.

Mosley, Jonathan D., John S. Witte, Emma K. Larkin, et al.. (2016). Identifying genetically driven clinical phenotypes using linear mixed models. Nature Communications. 7(1). 11433–11433. 8 indexed citations

15.

Lozada, Kristen L., Darcie D. Seachrist, Jonathan D. Mosley, et al.. (2014). Combined SFK/mTOR Inhibition Prevents Rapamycin-Induced Feedback Activation of AKT and Elicits Efficient Tumor Regression. Cancer Research. 74(17). 4762–4771. 34 indexed citations

16.

Karnes, Jason H., Robert M. Cronin, Jérôme Rollin, et al.. (2014). A genome-wide association study of heparin-induced thrombocyto - penia using an electronic medical record. Thrombosis and Haemostasis. 113(4). 772–781. 42 indexed citations

17.

Weeke, Peter, Raafia Muhammad, Jessica Delaney, et al.. (2014). Whole-exome sequencing in familial atrial fibrillation. European Heart Journal. 35(36). 2477–2483. 31 indexed citations

18.

Mosley, Jonathan D., et al.. (2013). The architecture of transgression AD. UWE Research Repository (UWE Bristol). 1 indexed citations

19.

Celedón, Juan C., et al.. (2002). Lack of association between a polymorphism in the interleukin‐13 gene and total serum immunoglobulin E level among nuclear families in Costa Rica. Clinical & Experimental Allergy. 32(3). 387–390. 24 indexed citations

20.

Silverman, Edwin K., Jonathan D. Mosley, D. C. Rao, et al.. (2001). Linkage Analysis of Alpha 1-Antitrypsin Deficiency: Lessons for Complex Diseases. Human Heredity. 52(4). 223–232. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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