David E. Coutant

700 citations
34 papers · 497 · h-index 14

Impact in

Papers in

David E. Coutant

32 papers receiving 483 citations

Peers

David E. Coutant
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 254
  • Pharmacology 37
  • Genetics 84
  • Biological Psychiatry 7
  • Surgery 103
Replace Akifumi Kogame with:
Akifumi Kogame Japan
Karl H. Clodfelter United States
Emiliano Rosatelli Italy
Dallas K. Croom United States
Zhengqi Cheng Australia
Bolette Husman Sweden
Daniel Tatosian United States
Lida Qi United States
Reynaldo Vargas United States
Yangliang Ye China
David E. Coutant relative to Akifumi Kogame Japan Akifumi Kogame's profile →
Citations per field
00.5×2.7×
Akifumi Kogame · 1×
Citations per year

Countries citing papers authored by David E. Coutant

Since Specialization
Citations

This map shows the geographic impact of David E. Coutant'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. Coutant 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. Coutant more than expected).

Fields of papers citing papers by David E. Coutant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 201851
3 202047
4 202045
5 199634
6 200626
7 202026
8 201623
9 201718
10 199816
11 202015
12 202415
13 201713
14 200513
15 202211
16 20199
17 20148
18 20118
19 20198
20 20145

About David E. Coutant

David E. Coutant is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Immunology and Pharmacology, having authored 34 papers that have together received 497 indexed citations. Recurring topics across this work include Diabetes Management and Research (19 papers), Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), Pharmacology and Obesity Treatment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Pharmacology (37 citations), Genetics (84 citations), Biological Psychiatry (7 citations) and Surgery (103 citations). David E. Coutant has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Helle Linnebjerg, Stephen D. Hall, Elizabeth LaBell, Jennifer Leohr, Mary Anne Dellva, Mary Seger, Laiyi Chua, Qianyi Zhang, Mark E. Meyerhoff and Danny Soon. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes, Reproductive Toxicology, Diabetes Research and Clinical Practice and Clinical Pharmacokinetics.

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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