Glenn Matfin

11.3k citations
40 papers · 692 · h-index 13

Impact in

Papers in

Glenn Matfin

39 papers receiving 659 citations

Peers

Glenn Matfin
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 350
  • Reproductive Medicine 134
  • Nephrology 80
  • Genetics 139
  • Pathology and Forensic Medicine 59
Replace C. C. Chow with:
C. C. Chow Hong Kong
Ekrem Algün Türkiye
Patty Y. Wang United States
Manav Batra United States
Nancy Greep United States
Sean Gow United Kingdom
Areti Augoulea Greece
S.M. Haffner United States
Sinem Kıyıcı Türkiye
Anna Noczyńska Poland
Glenn Matfin relative to C. C. Chow Hong Kong C. C. Chow's profile →
Citations per field
00.5×3.1×
C. C. Chow · 1×
Citations per year

Countries citing papers authored by Glenn Matfin

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Matfin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001162
2 201086
3 201376
4 201367
5 201543
6 200735
7 200526
8 201024
9 200717
10 201017
11 202015
12 200614
13 199513
14 201112
15 201012
16 20078
17 20107
18 20077
19 19946
20 20106

About Glenn Matfin

Glenn Matfin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Surgery and Epidemiology, having authored 40 papers that have together received 692 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Pharmacology and Obesity Treatment (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes and associated disorders (3 papers), Hormonal and reproductive studies (3 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (350 citations), Reproductive Medicine (134 citations), Nephrology (80 citations), Genetics (139 citations) and Pathology and Forensic Medicine (59 citations). Glenn Matfin has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Richard Carroll, David R. Owens, Richard E. Pratley, L. Monnier, Richard Carroll, Alexis Robertson, Gerard Conway, Veronique Duke, P A de Zoysa and Cristina Azcona. Their work appears in journals such as Therapeutic Advances in Endocrinology and Metabolism, Current Diabetes Reports, Clinical Endocrinology, Postgraduate Medical Journal and Value in Health.

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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