Thomas W. Forest

27 papers receiving 611 citations

Peers

Thomas W. Forest
Comparison fields: 5 of 117
  • Small Animals 53
  • Equine 11
  • Parasitology 27
  • Cellular and Molecular Neuroscience 73
  • Biophysics 20
Replace Kei A. Sato with:
Kei A. Sato Japan
Norman C. Peterson United States
Bruce G. Kornreich United States
Miyuu Tanaka Japan
Hashimoto Hashimoto Japan
Wei Yong Gu United States
Regina Carlson Germany
H. Dwight Cavanagh United States
Shin Ae Park United States
Huan‐Yuan Chen Taiwan
Thomas W. Forest relative to Kei A. Sato Japan Kei A. Sato's profile →
Citations per field
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Kei A. Sato · 1×
Citations per year

Countries citing papers authored by Thomas W. Forest

Since Specialization
Citations

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

Fields of papers citing papers by Thomas W. Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005101
2 200286
3 201380
4 197748
5 199535
6 197633
7 200230
8 197830
9 201927
10 201726
11 202024
12 202016
13 200116
14 200013
15 201412
16 202412
17 20178
18 20118
19
Speedskate ice friction: review and numerical model - FAST 1.0
20078
20 20097

About Thomas W. Forest

Thomas W. Forest is a scholar working on Biophysics, Small Animals, Immunology, Artificial Intelligence and Parasitology, having authored 30 papers that have together received 640 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Immunotoxicology and immune responses (5 papers), AI in cancer detection (5 papers), Pancreatitis Pathology and Treatment (2 papers), nanoparticles nucleation surface interactions (2 papers), Smart Materials for Construction (2 papers), Veterinary Oncology Research (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Small Animals (53 citations), Equine (11 citations), Parasitology (27 citations), Cellular and Molecular Neuroscience (73 citations) and Biophysics (20 citations). Thomas W. Forest has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include C. A. Ward, Joel D. Baines, Roy Alan Levine, Carl H. Smith, AIexander de Lahunta, Warren E. Glaab, Jennifer S. McKay, R. S. Jones, Michael S. Goligorsky and D. F. Kelly. Their work appears in journals such as Toxicologic Pathology, The Journal of Chemical Physics, Annals of Biomedical Engineering, Veterinary Pathology and Scientific Reports.

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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