Thomas D. Green

1.1k citations
27 papers · 795 · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Mitochondrial Function and Pathology 3
    • Muscle Physiology and Disorders 3
    • Peripheral Artery Disease Management 6

Thomas D. Green

27 papers receiving 764 citations

Peers

Thomas D. Green
Comparison fields: 5 of 110
  • Virology 81
  • Immunology 182
  • Rehabilitation 37
  • Developmental and Educational Psychology 66
  • Infectious Diseases 90
Replace Mary Owens with:
Mary Owens United States
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Petra Schulz Germany
Yuko Taniguchi Japan
Gilles J. P. Rautureau France
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Thomas D. Green relative to Mary Owens United States Mary Owens's profile →
Citations per field
00.5×3.9×
Mary Owens · 1×
Citations per year

Countries citing papers authored by Thomas D. Green

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200396
2 200173
3 200173
4 199169
5 201867
6 202147
7 201644
8 202043
9 200541
10 201826
11 201626
12 202025
13 200423
14 202121
15 200317
16 201917
17 199416
18
Impact of Presentation Mode on Recall of Written Text and Numerical Information: Hard Copy versus Electronic
201014
19 200413
20 20229

About Thomas D. Green

Thomas D. Green is a scholar working on Molecular Biology, Surgery, Virology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 27 papers that have together received 795 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (6 papers), HIV Research and Treatment (5 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Adipose Tissue and Metabolism (3 papers), Immune Cell Function and Interaction (3 papers), HIV/AIDS drug development and treatment (3 papers), Mitochondrial Function and Pathology (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Virology (81 citations), Immunology (182 citations), Rehabilitation (37 citations), Developmental and Educational Psychology (66 citations) and Infectious Diseases (90 citations). Thomas D. Green has collaborated with scholars based in United States, Czechia and Iran. Frequent co-authors include Ted M. Ross, David C. Montefiori, John H. Flowers, Yan Xu, Harriet L. Robinson, Joseph M. McClung, Terence E. Ryan, Cameron A. Schmidt, P. Darrell Neufer and Espen E. Spangenburg. Their work appears in journals such as Cell Cycle, AIDS Research and Human Retroviruses, JCI Insight, Journal of Virology and Journal of Molecular and Cellular Cardiology.

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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