David E. Cohen

16.5k total citations · 6 hit papers
173 papers, 12.0k citations indexed

About

David E. Cohen is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, David E. Cohen has authored 173 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Surgery, 59 papers in Molecular Biology and 48 papers in Epidemiology. Recurrent topics in David E. Cohen's work include Liver Disease Diagnosis and Treatment (42 papers), Drug Transport and Resistance Mechanisms (41 papers) and Adipose Tissue and Metabolism (32 papers). David E. Cohen is often cited by papers focused on Liver Disease Diagnosis and Treatment (42 papers), Drug Transport and Resistance Mechanisms (41 papers) and Adipose Tissue and Metabolism (32 papers). David E. Cohen collaborates with scholars based in United States, Japan and Israel. David E. Cohen's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David E. Cohen

170 papers receiving 11.7k citations

Hit Papers

Triglyceride Metabolism in the Liver 2008 2026 2014 2020 2017 2010 2008 2013 2016 250 500 750
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.

  1. Triglyceride Metabolism in the Liver
    2017 822 citations David E. Cohen et al. profile →
  2. MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasis
    2010 780 citations S. Hani Najafi‐Shoushtari, Fjoralba Kristo et al. Science profile →
  3. Regulation of Hepatic Lipogenesis by the Transcription Factor XBP1
    2008 775 citations David E. Cohen et al. Science profile →
  4. Mechanisms of hepatic triglyceride accumulation in non-alcoholic fatty liver disease
    2013 753 citations Yuki Kawano, David E. Cohen Journal of Gastroenterology profile →
  5. Role of Dietary Fructose and Hepatic De Novo Lipogenesis in Fatty Liver Disease
    2016 505 citations Samir Softic, David E. Cohen et al. profile →
  6. Clinical Best Practice Advice for Hepatology and Liver Transplant Providers During the COVID‐19 Pandemic: AASLD Expert Panel Consensus Statement
    2020 338 citations David E. Cohen et al. Hepatology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Cohen United States 52 4.2k 4.0k 3.1k 2.5k 2.2k 173 12.0k
Marc K. Hellerstein United States 73 5.3k 1.2× 3.8k 0.9× 2.4k 0.8× 5.9k 2.4× 3.2k 1.5× 297 19.1k
Philippe Lefèbvre France 48 6.6k 1.6× 3.4k 0.9× 1.9k 0.6× 2.3k 0.9× 1.7k 0.8× 180 12.5k
Sander M. Houten Netherlands 57 7.5k 1.8× 2.9k 0.7× 2.6k 0.8× 4.4k 1.7× 1.3k 0.6× 157 14.0k
MacRae F. Linton United States 65 5.5k 1.3× 2.8k 0.7× 5.5k 1.8× 1.7k 0.7× 2.4k 1.1× 231 15.8k
Kazuyuki Tobe Japan 70 9.9k 2.4× 3.7k 0.9× 3.4k 1.1× 4.8k 1.9× 3.3k 1.5× 307 18.5k
Subramaniam Pennathur United States 59 5.3k 1.3× 2.4k 0.6× 2.4k 0.8× 3.4k 1.4× 2.3k 1.0× 196 15.7k
Moshe Levi United States 59 5.7k 1.3× 1.6k 0.4× 2.9k 1.0× 2.0k 0.8× 2.3k 1.1× 193 14.7k
Shuichi Kaneko Japan 75 5.7k 1.3× 6.9k 1.7× 3.1k 1.0× 2.1k 0.8× 1.8k 0.8× 555 21.6k
Pingping Li China 46 5.3k 1.3× 3.3k 0.8× 1.4k 0.5× 3.3k 1.3× 1.1k 0.5× 344 12.8k
José M. Mato Spain 75 10.3k 2.4× 4.8k 1.2× 1.8k 0.6× 1.7k 0.7× 1.6k 0.7× 371 18.6k

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 of co-authors of David E. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Cohen. A scholar is included among the top collaborators of David E. Cohen 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 David E. Cohen. David E. Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Snyder, Nathaniel W., Marcos G. Teneche, Xiaowei Liu, et al.. (2023). Acyl-CoA thioesterase 12 suppresses YAP-mediated hepatocarcinogenesis by limiting glycerolipid biosynthesis. Cancer Letters. 565. 216210–216210. 7 indexed citations
2.
Parikh, Neal S., Hooman Kamel, Cenai Zhang, et al.. (2022). Association between liver fibrosis and incident dementia in the UK Biobank study. European Journal of Neurology. 29(9). 2622–2630. 25 indexed citations
3.
Imai, Norihiro, Hayley T. Nicholls, Blaine R. Roberts, et al.. (2021). Thioesterase superfamily member 1 undergoes stimulus-coupled conformational reorganization to regulate metabolism in mice. Nature Communications. 12(1). 3493–3493. 3 indexed citations
4.
Sharaiha, Reem Z., Kaveh Hajifathalian, Rekha B. Kumar, et al.. (2020). Five-Year Outcomes of Endoscopic Sleeve Gastroplasty for the Treatment of Obesity. Clinical Gastroenterology and Hepatology. 19(5). 1051–1057.e2. 97 indexed citations
5.
Hajifathalian, Kaveh, Reem Z. Sharaiha, Sonal Kumar, et al.. (2020). Development and external validation of a prediction risk model for short-term mortality among hospitalized U.S. COVID-19 patients: A proposal for the COVID-AID risk tool. PLoS ONE. 15(9). e0239536–e0239536. 19 indexed citations
6.
Imai, Norihiro, C. Denise Okafor, Puneet Juneja, et al.. (2020). Allosteric regulation of thioesterase superfamily member 1 by lipid sensor domain binding fatty acids and lysophosphatidylcholine. Proceedings of the National Academy of Sciences. 117(36). 22080–22089. 15 indexed citations
7.
Hajifathalian, Kaveh, SriHari Mahadev, Robert E. Schwartz, et al.. (2020). SARS-COV-2 infection (coronavirus disease 2019) for the gastrointestinal consultant. World Journal of Gastroenterology. 26(14). 1546–1553. 46 indexed citations
8.
Softic, Samir, Manoj K. Gupta, Shiho Fujisaka, et al.. (2017). Divergent effects of glucose and fructose on hepatic lipogenesis and insulin signaling. Journal of Clinical Investigation. 127(11). 4059–4074. 261 indexed citations
9.
Omary, M. Bishr, David E. Cohen, Emad El‐Omar, et al.. (2016). Not All Mice Are the Same: Standardization of Animal Research Data Presentation. Gut. 65(6). 894–895. 8 indexed citations
10.
Osganian, Stephanie A., et al.. (2015). Lipid and Lipoprotein Metabolism in Liver Disease. 22 indexed citations
11.
Kawano, Yuki & David E. Cohen. (2013). Mechanisms of hepatic triglyceride accumulation in non-alcoholic fatty liver disease. Journal of Gastroenterology. 48(4). 434–441. 753 indexed citations breakdown →
12.
Kang, Hye Won, Cafer Ozdemir, Yuki Kawano, et al.. (2013). Thioesterase Superfamily Member 2/Acyl-CoA Thioesterase 13 (Them2/Acot13) Regulates Adaptive Thermogenesis in Mice. Journal of Biological Chemistry. 288(46). 33376–33386. 29 indexed citations
13.
Malana, Geraldine E., Janis Stoll, Anal Desai, et al.. (2013). Targeted Deletion of Fibrinogen Like Protein 1 Reveals a Novel Role in Energy Substrate Utilization. PLoS ONE. 8(3). e58084–e58084. 69 indexed citations
14.
Cohen, David E.. (2012). New players on the metabolic stage. Adipocyte. 2(1). 3–6. 21 indexed citations
15.
Najafi‐Shoushtari, S. Hani, Fjoralba Kristo, Yingxia Li, et al.. (2010). MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasis. Science. 328(5985). 1566–1569. 780 indexed citations breakdown →
16.
Bays, Harold & David E. Cohen. (2007). Rationale and design of a prospective clinical trial program to evaluate the glucose-lowering effects of colesevelam HCl in patients with type 2 diabetes mellitus. Current Medical Research and Opinion. 23(7). 1673–1684. 26 indexed citations
17.
Chan, Wayne W., Steven L. Roderick, & David E. Cohen. (2002). Human phosphatidylcholine transfer protein: purification, crystallization and preliminary X-ray diffraction data. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1596(1). 1–5. 2 indexed citations
18.
Mardones, Pablo, Verónica Quiñones, Ludwig Amigo, et al.. (2001). Hepatic cholesterol and bile acid metabolism and intestinal cholesterol absorption in scavenger receptor class B type I-deficient mice. Journal of Lipid Research. 42(2). 170–180. 242 indexed citations
19.
Cohen, David E., George M. Thurston, Richard Chamberlin, George B. Benedek, & Martin C. Carey. (1998). Laser Light Scattering Evidence for a Common Wormlike Growth Structure of Mixed Micelles in Bile Salt− and Straight-Chain Detergent−Phosphatidylcholine Aqueous Systems:  Relevance to the Micellar Structure of Bile. Biochemistry. 37(42). 14798–14814. 68 indexed citations
20.

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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