Tim Williams

51 papers receiving 940 citations

Peers

Tim Williams
Comparison fields: 5 of 93
  • Small Animals 175
  • Equine 20
  • Endocrinology, Diabetes and Metabolism 169
  • Pharmacology 73
  • Surgery 239
Replace Abner Golden with:
Abner Golden United States
Carmine Panella Italy
G. Gasbarrini Italy
Andrew Austin United Kingdom
H. H. Thompson United Kingdom
Josef Sýkora Czechia
Mei‐Jyh Chen Taiwan
George A. Hallenbeck United States
Lynn C. Allen Canada
B. Urbaschek Germany
Tim Williams relative to Abner Golden United States Abner Golden's profile →
Citations per field
00.5×10×16.7×
Abner Golden · 1×
Citations per year

Countries citing papers authored by Tim Williams

Since Specialization
Citations

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

Fields of papers citing papers by Tim Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012177
2
Association between a CYP3A4 genetic variant and clinical presentation in African-American prostate cancer patients.
1999154
3 201070
4 201068
5 198260
6 197648
7
The influence of exercise on the growth of transplanted rat tumors.
196246
8 201334
9 201831
10 201230
11 202224
12 201820
13 201420
14 202317
15 197815
16 201412
17 202111
18 201911
19 202111
20 20189

About Tim Williams

Tim Williams is a scholar working on Surgery, Molecular Biology, Small Animals, Endocrinology, Diabetes and Metabolism and Genetics, having authored 55 papers that have together received 990 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (6 papers), Veterinary Medicine and Surgery (5 papers), Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (4 papers), Extracellular vesicles in disease (4 papers), Pancreatitis Pathology and Treatment (3 papers), MicroRNA in disease regulation (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Small Animals (175 citations), Equine (20 citations), Endocrinology, Diabetes and Metabolism (169 citations), Pharmacology (73 citations) and Surgery (239 citations). Tim Williams has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Harriet M. Syme, Jonathan Elliott, Juan S. Uribe, Vedat Deviren, Peter Thomas, Jim A. Youssef, Patrick A. Kupelian, Jeff Hall, Pamela L. Paris and Graham Casey. Their work appears in journals such as Veterinary Clinical Pathology, Journal of Veterinary Internal Medicine, Journal of Small Animal Practice, Diabetologia and Journal of Veterinary Diagnostic Investigation.

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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