Jonathan D. Smith

40.9k citations
272 papers · 25.2k indexed · 13 hit papers · h-index 71

Jonathan D. Smith

267 papers receiving 24.8k citations

Hit Papers

γ-Butyrobetaine Is a Proather...424199220262003201410002.0k3.0k4.0k

Peers

Jonathan D. Smith
Comparison fields: 5 of 185
  • Surfaces, Coatings and Films 2.4k
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Physiology 5.3k
  • Immunology 4.1k
  • Biological Psychiatry 460
Replace John W. Eaton with:
John W. Eaton United States
Shu Chien United States
Martin L. Yarmush United States
Karlheinz Peter Australia
Young Ho Kim South Korea
Klaus Ley United States
Matthew A. Cooper Australia
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Kenneth A. Jacobson United States
Richard Lee United States
Jonathan D. Smith relative to John W. Eaton United States John W. Eaton's profile →
Citations per field
00.5×8.0×
John W. Eaton · 1×
Citations per year

Countries citing papers authored by Jonathan D. Smith

Since Specialization
Citations

This map shows the geographic impact of Jonathan D. Smith'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. Smith 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. Smith more than expected).

Fields of papers citing papers by Jonathan D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jonathan D. Smith, 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 D. Smith Line = papers co-authored together Jonathan D. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20243
4 20239
5 20227
6 20228
7 20221
8 202112
9 202112
10 202116
11 202031
12 202096
13 201755
14 201710
15 2015252
16 20151
17 2012124
18 20111
19 20039
20 200215

About Jonathan D. Smith

Jonathan D. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Cancer Research, Molecular Biology and Surgery, having authored 272 papers that have together received 25.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (43 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (34 papers), Atherosclerosis and Cardiovascular Diseases (32 papers), Peroxisome Proliferator-Activated Receptors (31 papers), Lipoproteins and Cardiovascular Health (27 papers), Alzheimer's disease research and treatments (23 papers), Drug Transport and Resistance Mechanisms (20 papers) and Cancer, Lipids, and Metabolism (16 papers). The work is most often cited by research in Surfaces, Coatings and Films (2.4k citations), Endocrinology, Diabetes and Metabolism (3.5k citations), Physiology (5.3k citations), Immunology (4.1k citations) and Biological Psychiatry (460 citations). Jonathan D. Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Stanley L. Hazen, Jan L. Breslow, Masaaki Miyata, Kripa K. Varanasi, Joseph A. DiDonato, Xiaoming Fu, Tony Hayek, Zeneng Wang, W.H. Wilson Tang and Yuping Wu. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, Journal of Lipid Research, PLoS ONE and Journal of Clinical Investigation.

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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