David E. Cohen

16.5k citations
173 papers · 12.0k indexed · 6 hit papers · h-index 52

David E. Cohen

170 papers receiving 11.7k citations

Hit Papers

Clinical Best Practice Advi...3382008202620142020250500750

Peers

David E. Cohen
Comparison fields: 5 of 163
  • Endocrinology, Diabetes and Metabolism 2.2k
  • Biochemistry 897
  • Epidemiology 4.0k
  • Cancer Research 1.5k
  • Physiology 2.5k
Replace Philippe Lefèbvre with:
Philippe Lefèbvre France
Marc K. Hellerstein United States
Sander M. Houten Netherlands
William S. Blaner United States
Hongliang Li China
Mark J. Graham United States
Patrick C.N. Rensen Netherlands
José M. Mato Spain
Kumar Sharma United States
Hajime Nawata Japan
David E. Cohen relative to Philippe Lefèbvre France Philippe Lefèbvre's profile →
Citations per field
00.5×1.5×1.8×
Philippe Lefèbvre · 1×
Citations per year

Countries citing papers authored by David E. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by David E. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Cohen. 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 David E. Cohen. The network helps show where David E. Cohen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20238
3 202225
4 202019
5 202015
6 202097
7 202046
8 2017261
9 20168
10 201637
11
Lipid and Lipoprotein Metabolism in Liver Disease
201522
12
MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasisbreakdown →
2010780
13 201017
14 200726
15 200742
16 2006278
17 20022
18 200274
19 2001242
20 199623

About David E. Cohen

David E. Cohen is a scholar working on Biochemistry, Physiology, Oncology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 173 papers that have together received 12.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (42 papers), Drug Transport and Resistance Mechanisms (41 papers), Adipose Tissue and Metabolism (32 papers), Cholesterol and Lipid Metabolism (29 papers), Lipid metabolism and biosynthesis (28 papers), Peroxisome Proliferator-Activated Receptors (20 papers), Diet and metabolism studies (13 papers) and Diet, Metabolism, and Disease (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.2k citations), Biochemistry (897 citations), Epidemiology (4.0k citations), Cancer Research (1.5k citations) and Physiology (2.5k citations). David E. Cohen has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Michele Alves‐Bezerra, Yuki Kawano, Erez Scapa, Martin C. Carey, Samir Softic, Ann–Hwee Lee, Laurie H. Glimcher, C. Ronald Kahn, Yingxia Li and Naga Chalasani. Their work appears in journals such as Journal of Lipid Research, Hepatology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Biological Chemistry and Cell Metabolism.

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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