Thomas Forest

20 papers receiving 421 citations

Peers

Thomas Forest
Comparison fields: 5 of 104
  • Small Animals 31
  • Parasitology 24
  • Atmospheric Science 54
  • Pulmonary and Respiratory Medicine 80
  • Genetics 63
Replace C. Robert Bagnell with:
C. Robert Bagnell United States
Daniel A. Davis United States
Joshua Lane United States
Xinhui Wu China
Zhigang Huang China
Vincent van Unen Netherlands
Dana N. LeVine United States
Brian L. Swick United States
Yuichi Takahashi Japan
Daniel S. Gareau United States
Thomas Forest relative to C. Robert Bagnell United States C. Robert Bagnell's profile →
Citations per field
00.5×3.9×
C. Robert Bagnell · 1×
Citations per year

Countries citing papers authored by Thomas Forest

Since Specialization
Citations

This map shows the geographic impact of Thomas 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 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 Forest more than expected).

Fields of papers citing papers by Thomas Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200597
2 200281
3 197746
4 199530
5 197829
6 197628
7 201925
8 201722
9 200114
10 200011
11 201410
12
Speedskate ice friction: review and numerical model - FAST 1.0
20077
13 20097
14 20177
15 20115
16 20224
17 20223
18
Spontaneous epithelioid hemangiosarcoma in a rhesus monkey (Macaca mulatta).
20142
19
Spongy icing in the marine environment
19962
20 20192

About Thomas Forest

Thomas Forest is a scholar working on Molecular Biology, Surgery, Artificial Intelligence, Pulmonary and Respiratory Medicine and Atmospheric Science, having authored 21 papers that have together received 432 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers), Pancreatic function and diabetes (2 papers), Pancreatitis Pathology and Treatment (2 papers), Immunotoxicology and immune responses (2 papers), Veterinary Oncology Research (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Fluid Dynamics and Mixing (2 papers). The work is most often cited by research in Small Animals (31 citations), Parasitology (24 citations), Atmospheric Science (54 citations), Pulmonary and Respiratory Medicine (80 citations) and Genetics (63 citations). Thomas Forest has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include C. A. Ward, Joel D. Baines, Carl H. Smith, Roy A. Levine, Warren E. Glaab, Michael S. Goligorsky, Wendy J. Bailey, Gerald F. DiBona, Frederick W. Miller and Erjia Wang. Their work appears in journals such as Toxicologic Pathology, The Journal of Chemical Physics, Endocrinology, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Alzheimer s Disease.

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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