Fred E. Williams

42 papers receiving 617 citations

Peers

Fred E. Williams
Comparison fields: 5 of 117
  • Endocrine and Autonomic Systems 139
  • Equine 12
  • Physiology 147
  • Endocrinology, Diabetes and Metabolism 91
  • Small Animals 39
Replace Volker Schusdziarra with:
Volker Schusdziarra Germany
Emily C. Graff United States
Julianna Thuróczy Hungary
David A. Weiland United States
Mengru Xie China
Michela Muscettola Italy
Jian Xu China
Scott D. Butler United States
Rafael Garcia Villar France
Mariko Sugiyama Japan
Fred E. Williams relative to Volker Schusdziarra Germany Volker Schusdziarra's profile →
Citations per field
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Volker Schusdziarra · 1×
Citations per year

Countries citing papers authored by Fred E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Fred E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198270
2 201351
3 200143
4 198136
5 198436
6 198334
7 199632
8 198330
9 198325
10 197325
11 198624
12 197722
13 200420
14 200419
15 199319
16 201918
17 200017
18 198616
19 199313
20 198913

About Fred E. Williams

Fred E. Williams is a scholar working on Endocrine and Autonomic Systems, Microbiology, Small Animals, Physiology and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 699 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Diet and metabolism studies (7 papers), Veterinary Oncology Research (5 papers), Microbial infections and disease research (4 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (139 citations), Equine (12 citations), Physiology (147 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Small Animals (39 citations). Fred E. Williams has collaborated with scholars based in United States, United Kingdom and Burkina Faso. Frequent co-authors include Larry L. Bellinger, I F Stamford, A. B. Bennett, William F. Whimster, Mairéad A. Carroll, Verne E. Mendel, Michael T. Lawton, George Edward Vates, Steven G. Ojemann and Thomas W. Castonguay. Their work appears in journals such as Physiology & Behavior, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Veterinary Diagnostic Investigation, Neurosurgery and Journal of Dairy Science.

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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