Tom de Groot

512 citations
11 papers · 398 · h-index 7

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 5
    • HIV/AIDS Research and Interventions 2
    • HIV Research and Treatment 4

Tom de Groot

10 papers receiving 381 citations

Peers

Tom de Groot
Comparison fields: 5 of 48
  • Virology 235
  • Infectious Diseases 306
  • Hepatology 16
  • Epidemiology 51
  • Health Informatics 2
Replace Derrick Goodman with:
Derrick Goodman United States
Bahia Amellal France
Gilles Hittinger France
Barbara Schock United States
Routy Jp Canada
Erin Stuelke United States
Ángela Ibáñez Spain
Steve Boswell United States
Nancy De Cabooter Belgium
Johanna Repits Sweden
Tom de Groot relative to Derrick Goodman United States Derrick Goodman's profile →
Citations per field
00.5×1.5×
Derrick Goodman · 1×
Citations per year

Countries citing papers authored by Tom de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Tom de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom de Groot. 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 Tom de Groot. The network helps show where Tom de Groot may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999167
2 199791
3 200283
4 199917
5 202011
6 202410
7 19988
8 20216
9 20244
10 20211
11 20250

About Tom de Groot

Tom de Groot is a scholar working on Infectious Diseases, Virology, Epidemiology, Surgery and Political Science and International Relations, having authored 11 papers that have together received 398 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Cerebral Palsy and Movement Disorders (1 paper), Shoulder Injury and Treatment (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Virology (235 citations), Infectious Diseases (306 citations), Hepatology (16 citations), Epidemiology (51 citations) and Health Informatics (2 citations). Tom de Groot has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Rob Schuurman, Charles A. Boucher, Jolanda M.G.H. Tijnagel, Patricia Reichelderfer, Lisa M. Demeter, Remko van Leeuwen, Monique Nijhuis, Joep M. A. Lange, Sven A. Danner and Dorien de Jong. Their work appears in journals such as Bone & Joint Open, Antiviral Therapy, Journal of Clinical Microbiology, AIDS and Sensors.

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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