Fernando Gerchman

2.6k citations
83 papers · 1.9k indexed · h-index 28

Impact in

Papers in

Fernando Gerchman

80 papers receiving 1.8k citations

Peers

Fernando Gerchman
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 688
  • Nephrology 187
  • Physiology 397
  • Obstetrics and Gynecology 99
  • Cardiology and Cardiovascular Medicine 221
Replace Tahseen A Chowdhury with:
Tahseen A Chowdhury United Kingdom
Shariq Rashid Masoodi India
Fangzhen Xia China
Zhigang Zhao China
Audrey Y. Chu United States
Kalliopi Kotsa Greece
Chan‐Hee Jung South Korea
Bisher Kawar United Kingdom
Alessandra Dei Italy
M. Loredana Marcovecchio Italy
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Citations per field
00.5×3.1×
Tahseen A Chowdhury · 1×
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-authorship network

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
#Work
1 20250
2 20241
3 20248
4 20243
5 20244
6 202311
7 202335
8 202318
9 20221
10 20225
11 202227
12 202213
13 202010
14 20205
15 202021
16 20183
17 201819
18 201513
19 201414
20 200736

About Fernando Gerchman

Fernando Gerchman is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Physiology, Clinical Biochemistry and Endocrine and Autonomic Systems, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Treatment and Management (15 papers), Metabolism, Diabetes, and Cancer (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Diet and metabolism studies (8 papers), Pancreatic function and diabetes (8 papers), Diabetes Management and Research (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (688 citations), Nephrology (187 citations), Physiology (397 citations), Obstetrics and Gynecology (99 citations) and Cardiology and Cardiovascular Medicine (221 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, Jayalakshmi Udayasankar, Jorge Luiz Gross, André F. Reis, Sakeneh Zraika and Janet L. Gross. Their work appears in journals such as Diabetology & Metabolic Syndrome, Diabetes Research and Clinical Practice, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism 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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