Fernando Gerchman

2.7k citations
83 papers · 1.9k · h-index 28

Impact in

Papers in

    • Diabetes, Cardiovascular Risks, and Lipoproteins 13
    • Diabetes Treatment and Management 10
    • Diabetes Management and Research 4
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 4
    • Metabolism, Diabetes, and Cancer 8

Fernando Gerchman

82 papers receiving 1.9k citations

Peers

Fernando Gerchman
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 517
  • Nephrology 165
  • Obstetrics and Gynecology 94
  • Physiology 284
  • Periodontics 31
Replace Tahseen A Chowdhury with:
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Bisher Kawar United Kingdom
M. Loredana Marcovecchio Italy
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Dee Pei Taiwan
Fahrı Bayram Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Gerchman

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Gerchman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 2009108
3 2017101
4 200791
5 199976
6 200661
7 202061
8 200961
9 202050
10 200849
11 200845
12 202244
13 200944
14 200743
15 200739
16 200737
17 200737
18 202336
19 201933
20 201631

About Fernando Gerchman

Fernando Gerchman is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Epidemiology and Nephrology, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Chronic Kidney Disease and Diabetes (6 papers), Diet and metabolism studies (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes Management and Research (4 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (517 citations), Nephrology (165 citations), Obstetrics and Gynecology (94 citations), Physiology (284 citations) and Periodontics (31 citations). Fernando Gerchman has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Luís Henrique Santos Canani, Kristina M. Utzschneider, Steven E. Kahn, Jenny Tong, Anize Delfino von Frankenberg, Jorge Luiz Gross, Jayalakshmi Udayasankar, André F. Reis, Sakeneh Zraika and Janet L. Gross. Their work appears in journals such as Diabetology & Metabolic Syndrome, Diabetes Care, Diabetes Research and Clinical Practice, The Journal of Clinical Endocrinology & Metabolism and Brazilian Journal of Medical and Biological Research.

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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