Fernando Gerchman

2.9k citations
86 papers · 2.2k · h-index 28

Impact in

Papers in

Fernando Gerchman

85 papers receiving 2.1k citations

Peers

Fernando Gerchman
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 571
  • Nephrology 182
  • Obstetrics and Gynecology 101
  • Physiology 323
  • Clinical Biochemistry 53
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Yuhong Chen China
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Dimitrios Nikiforos Kiortsis Greece
Deep Dutta India
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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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 2007116
3 2017106
4 200797
5 199990
6 202068
7 200967
8 200664
9 200762
10 202059
11 200851
12 200850
13 202247
14
Why do men have worse COVID-19-related outcomes? A systematic review and meta-analysis with sex adjusted for age
202247
15 200945
16 202341
17 200739
18 200738
19 200737
20 202236

About Fernando Gerchman

Fernando Gerchman is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Physiology, Epidemiology and Pharmacology, having authored 86 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Chronic Kidney Disease and Diabetes (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diet and metabolism studies (5 papers), COVID-19 Clinical Research Studies (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (571 citations), Nephrology (182 citations), Obstetrics and Gynecology (101 citations), Physiology (323 citations) and Clinical Biochemistry (53 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, Jenny Tong, Steven E. Kahn, Anize Delfino von Frankenberg, Jayalakshmi Udayasankar, Jorge Luiz Gross, André Fernandes Reis, Sakeneh Zraika and Janet L. Gross. Their work appears in journals such as Diabetology & Metabolic Syndrome, The Journal of Clinical Endocrinology & Metabolism, Diabetes Research and Clinical Practice, Diabetes Care and Diabetes.

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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