Michael Feigh

53 papers receiving 1.4k citations

Hit Papers

Resolution of NASH and hepatic fibrosis by the GLP-1R and GCGR dual-agonist cotadutide via modulating mitochondrial function and lipogenesis 2020 · 200 citations
200202020262022202450100150200

Peers

Michael Feigh
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 607
  • Hepatology 264
  • Epidemiology 897
  • Cell Biology 202
  • Endocrine and Autonomic Systems 78
Replace Jamie E. Mells with:
Jamie E. Mells United States
C. Rychlicki Italy
Sara A. Beddow United States
Mark Naples Canada
George G. Schweitzer United States
Mohamed Asrih Switzerland
Véronique Fauveau France
Anja Kerksiek Germany
Francesca Saba Italy
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Citations per field
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Citations per year

Countries citing papers authored by Michael Feigh

Since Specialization
Citations

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

Fields of papers citing papers by Michael Feigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resolution of NASH and hepatic fibrosis by the GLP-1R and GCGR dual-agonist cotadutide via modulating mitochondrial function and lipogenesis
Hit paper breakdown →
2020200
2 2017181
3 2018110
4 201695
5 202187
6 201983
7 201462
8 201861
9 202245
10 201944
11 202041
12 201138
13 202235
14 202133
15 201530
16 201223
17 202123
18 202321
19 201319
20 201818

About Michael Feigh

Michael Feigh is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Physiology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (35 papers), Diet, Metabolism, and Disease (18 papers), Metabolism, Diabetes, and Cancer (10 papers), Diet and metabolism studies (8 papers), Pancreatic function and diabetes (7 papers), Adipose Tissue and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Pancreatitis Pathology and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (607 citations), Hepatology (264 citations), Epidemiology (897 citations), Cell Biology (202 citations) and Endocrine and Autonomic Systems (78 citations). Michael Feigh has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Sanne Skovgård Veidal, Niels Vrang, Henrik H. Hansen, Jacob Jelsing, Kristoffer T.G. Rigbolt, K.S. Tølbøl, Keld Fosgerau, Kristoffer Rigbolt, Jonathan D. Roth and Kim Henriksen. Their work appears in journals such as Journal of Hepatology, Scientific Reports, Diabetes, British Journal of Pharmacology and Hepatology Communications.

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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