Fred Williams

44 papers receiving 582 citations

Peers

Fred Williams
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 125
  • Equine 12
  • Small Animals 43
  • Physiology 138
  • Endocrinology, Diabetes and Metabolism 80
Replace Peter Bollen with:
Peter Bollen Denmark
C. Morales Spain
Donald Wilhelm Australia
Yasuhiro Matsuoka Japan
Joshua R. Cook United States
Marco Rosati Italy
Anna Di Landro Italy
Mengru Xie China
A. F. Finzi Italy
Katia Ongenae Belgium
Fred Williams relative to Peter Bollen Denmark Peter Bollen's profile →
Citations per field
00.5×5.7×
Peter Bollen · 1×
Citations per year

Countries citing papers authored by Fred Williams

Since Specialization
Citations

This map shows the geographic impact of Fred 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 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 Williams more than expected).

Fields of papers citing papers by Fred Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198260
2 200142
3 201340
4 198134
5 199631
6 198431
7 198331
8 198329
9 198324
10 197323
11 197722
12 198622
13 199318
14 201917
15 198616
16 200416
17 200016
18 200414
19 199312
20 198911

About Fred Williams

Fred Williams is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Physiology, Surgery and Epidemiology, having authored 47 papers that have together received 631 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), Cannabis and Cannabinoid Research (3 papers), Pancreatic function and diabetes (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (125 citations), Equine (12 citations), Small Animals (43 citations), Physiology (138 citations) and Endocrinology, Diabetes and Metabolism (80 citations). Fred Williams has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include Larry L. Bellinger, I F Stamford, A. B. Bennett, Mairéad A. Carroll, W F Whimster, Steven Ojemann, G. Edward Vates, V. E. Mendel, Michael T. Lawton and L. L. Bernardis. Their work appears in journals such as Physiology & Behavior, Journal of Veterinary Diagnostic Investigation, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Neurosurgery and Pharmacology Biochemistry and Behavior.

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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