Tom Gevers

1.2k citations
13 papers · 853 · h-index 12

Impact in

    • Tuberculosis Research and Epidemiology
    • Viral gastroenteritis research and epidemiology
    • Mycobacterium research and diagnosis
    • Respiratory viral infections research
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Pneumonia and Respiratory Infections

Papers in

    • Respiratory viral infections research 6
    • Mycobacterium research and diagnosis 3
    • Virology and Viral Diseases 2
    • Pneumonia and Respiratory Infections 2
    • Tuberculosis Research and Epidemiology 7

Tom Gevers

13 papers receiving 822 citations

Peers

Tom Gevers
Comparison fields: 5 of 54
  • Infectious Diseases 574
  • Epidemiology 557
  • Molecular Medicine 71
  • Virology 16
  • Organic Chemistry 95
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Firat Kaya United States
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Citations per field
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Citations per year

Countries citing papers authored by Tom Gevers

Since Specialization
Citations

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

Fields of papers citing papers by Tom Gevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014291
2 201193
3 200391
4 200876
5 200966
6 200850
7 201043
8 200940
9 200737
10 200830
11 201618
12 201017
13
R170591, a New Antiviral with picoMolar Activity against Respiratory Syncytial Virus.
20011

About Tom Gevers

Tom Gevers is a scholar working on Epidemiology, Infectious Diseases, Oncology, Molecular Medicine and Pharmacology, having authored 13 papers that have together received 853 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Respiratory viral infections research (6 papers), Mycobacterium research and diagnosis (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Antibiotic Resistance in Bacteria (3 papers), Virology and Viral Diseases (2 papers), Pneumonia and Respiratory Infections (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Infectious Diseases (574 citations), Epidemiology (557 citations), Molecular Medicine (71 citations), Virology (16 citations) and Organic Chemistry (95 citations). Tom Gevers has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Koen Andries, Nacer Lounis, Luc Vranckx, Anil Koul, Bouke C. de Jong, Nele Coeck, Cristina Villellas, Kim Thys, Rudy Willebrords and Frans Janssens. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, Antiviral Research, Journal of Clinical Microbiology and Proceedings of the National Academy of Sciences.

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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