Jonathan Newman

112 papers receiving 4.1k citations

Jonathan Newman's Hit Papers

Renin–Angiotensin–Aldosterone System Inhibitors and Risk of Covid-19 2020 · 756 citations
7560+2+4Years since publication250500750

Peers

Jonathan Newman
Comparison fields: 5 of 169
  • Developmental Biology 282
  • Cardiology and Cardiovascular Medicine 964
  • Infectious Diseases 631
  • Endocrinology, Diabetes and Metabolism 473
  • Health, Toxicology and Mutagenesis 413
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Leena Choi United States
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Citations per year

Countries citing papers authored by Jonathan Newman

Since Specialization
Citations

This map shows the geographic impact of Jonathan Newman'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 Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Newman more than expected).

Fields of papers citing papers by Jonathan Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Newman. 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 Newman. The network helps show where Jonathan Newman may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Newman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Newman Line = papers co-authored together Jonathan Newman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Renin–Angiotensin–Aldosterone System Inhibitors and Risk of Covid-19
Hit paper breakdown →
2020756
2 2014258
3 2020186
4 2012156
5 2020146
6 2014143
7 2018137
8 2017133
9 198093
10 201391
11 201787
12 199383
13 199980
14 197670
15 202069
16 201869
17 201268
18 201267
19 202066
20 201260

About Jonathan Newman

Jonathan Newman is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Health, Toxicology and Mutagenesis, Developmental Biology and Endocrinology, Diabetes and Metabolism, having authored 120 papers that have together received 4.3k indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (12 papers), Peripheral Artery Disease Management (9 papers), Diabetes Treatment and Management (9 papers), Cardiac Health and Mental Health (9 papers), Air Quality and Health Impacts (8 papers), Heavy Metal Exposure and Toxicity (8 papers), Primate Behavior and Ecology (8 papers) and Blood Pressure and Hypertension Studies (7 papers). The work is most often cited by research in Developmental Biology (282 citations), Cardiology and Cardiovascular Medicine (964 citations), Infectious Diseases (631 citations), Endocrinology, Diabetes and Metabolism (473 citations) and Health, Toxicology and Mutagenesis (413 citations). Jonathan Newman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeffrey S. Berger, Judith S. Hochman, Daichi Shimbo, Arthur Schwartzbard, Sripal Bangalore, George D. Thurston, Michael E. Farkouh, Jeffrey I. Mechanick, Stuart D. Katz and Harmony R. Reynolds. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, American Heart Journal, American Journal of Primatology and Arteriosclerosis Thrombosis and Vascular Biology.

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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