Thomas Williams

35 papers receiving 525 citations

Peers

Thomas Williams
Comparison fields: 5 of 91
  • Pharmacology 193
  • Cellular and Molecular Neuroscience 97
  • Bioengineering 24
  • Endocrinology, Diabetes and Metabolism 52
  • Surgery 130
Replace Peter Kaastrup with:
Peter Kaastrup Denmark
Michael Zeira Israel
K. Kawabe Japan
Susanne Nyström Sweden
Weixin Zhang China
Alice N. McEvoy Ireland
Vaja Tchipashvili United States
Thomas Williams relative to Peter Kaastrup Denmark Peter Kaastrup's profile →
Citations per field
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Peter Kaastrup · 1×
Citations per year

Countries citing papers authored by Thomas Williams

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201986
2 202280
3 199960
4 201940
5 202121
6 202120
7 201917
8 202117
9 202216
10 195116
11 201914
12 201514
13 201914
14 202313
15 202011
16 202111
17 20229
18
Influence of acetylaminofluorene, growth hormone, testosterone, and hypothyroidism on incorporation of uracil-2-C14 in liver RNA in the rat.
19588
19 20237
20 19597

About Thomas Williams

Thomas Williams is a scholar working on Pharmacology, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 542 indexed citations. Recurring topics across this work include Apelin-related biomedical research (12 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Nuclear Receptors and Signaling (4 papers), Hormonal Regulation and Hypertension (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Liver physiology and pathology (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Pharmacology (193 citations), Cellular and Molecular Neuroscience (97 citations), Bioengineering (24 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Surgery (130 citations). Thomas Williams has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Janet J. Maguire, Anthony P. Davenport, Duuamene Nyimanu, Rhoda E. Kuc, Robert C. Glen, Erica L. Jackson, Cai Read, Thomas A. Baker, Peiran Yang and A. Cantarow. Their work appears in journals such as Annals of the Rheumatic Diseases, Biochemical and Biophysical Research Communications, Pharmacological Reviews, Frontiers in Pharmacology and BioDrugs.

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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