Robert E. Fellows

3.5k citations
67 papers · 3.1k · h-index 27

Impact in

Papers in

Robert E. Fellows

65 papers receiving 2.7k citations

Peers

Robert E. Fellows
Comparison fields: 5 of 120
  • Reproductive Medicine 608
  • Endocrinology, Diabetes and Metabolism 721
  • Endocrine and Autonomic Systems 207
  • Physiology 136
  • Cellular and Molecular Neuroscience 415
Replace Clara M. Szego with:
Clara M. Szego United States
W. F. White United States
R.M.G. Nair United States
Richard A. Maurer United States
Maria E. Birnbaumer United States
Chon‐Hwa Tsai‐Morris United States
Bernard P. Schimmer Canada
A. Tixier‐Vidal France
Mary E. Hunzicker-Dunn United States
Jean‐Guy Lehoux Canada
Robert E. Fellows relative to Clara M. Szego United States Clara M. Szego's profile →
Citations per field
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Clara M. Szego · 1×
Citations per year

Countries citing papers authored by Robert E. Fellows

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Fellows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Fellows. 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 Robert E. Fellows. The network helps show where Robert E. Fellows may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972408
2 1971344
3 1966236
4 1980233
5 1977132
6 1988130
7 1980106
8 196491
9 196275
10 198066
11 198064
12 197461
13 196957
14 197356
15 197756
16 197748
17 198147
18 198147
19 198046
20 197643

About Robert E. Fellows

Robert E. Fellows is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Molecular Biology, Biochemistry and Clinical Biochemistry, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Infant Nutrition and Health (10 papers), Pancreatic function and diabetes (7 papers), Neuropeptides and Animal Physiology (6 papers), Ion channel regulation and function (5 papers), Metabolism and Genetic Disorders (5 papers), Amino Acid Enzymes and Metabolism (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Reproductive Medicine (608 citations), Endocrinology, Diabetes and Metabolism (721 citations), Endocrine and Autonomic Systems (207 citations), Physiology (136 citations) and Cellular and Molecular Neuroscience (415 citations). Robert E. Fellows has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Mohan K. Raizada, Roger Cecil Burgus, Richard E. Blackwell, Roger Guillemin, Max S. Amoss, Joseph W. Yang, Robert M. Delaney, Harold E. Lebovitz, Robert Lee Hill and Stuart Handwerger. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Biochemistry, Brain Research and Journal of Endocrinology.

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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