Marc Biot

1.1k citations
15 papers · 847 · h-index 12

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 13
    • HIV/AIDS drug development and treatment 2
    • Tuberculosis Research and Epidemiology 1
    • HIV Research and Treatment 3

Marc Biot

15 papers receiving 833 citations

Peers

Marc Biot
Comparison fields: 5 of 39
  • Infectious Diseases 668
  • Virology 49
  • General Health Professions 128
  • Pediatrics, Perinatology and Child Health 83
  • Epidemiology 129
Replace Robert Ferris with:
Robert Ferris United States
Geoffrey Namara Uganda
Eyerusalem K. Negussie Switzerland
Christine Nabiryo Uganda
Henry Irunde Tanzania
Barbara Amuron Uganda
C. Comoro Tanzania
Michael Eliya Malawi
Rachel Beanland United States
Eric van Praag United States
Marc Biot relative to Robert Ferris United States Robert Ferris's profile →
Citations per field
00.5×3.1×
Robert Ferris · 1×
Citations per year

Countries citing papers authored by Marc Biot

Since Specialization
Citations

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

Fields of papers citing papers by Marc Biot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014150
2 2010149
3 2015143
4 201492
5 201457
6 201645
7 201445
8 201443
9 200942
10 200934
11 200815
12 200915
13 20038
14 20155
15 20124

About Marc Biot

Marc Biot is a scholar working on Infectious Diseases, Virology, Pediatrics, Perinatology and Child Health, Epidemiology and General Health Professions, having authored 15 papers that have together received 847 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (13 papers), HIV Research and Treatment (3 papers), HIV/AIDS drug development and treatment (2 papers), Global Maternal and Child Health (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Tuberculosis Research and Epidemiology (1 paper), Agricultural risk and resilience (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (668 citations), Virology (49 citations), General Health Professions (128 citations), Pediatrics, Perinatology and Child Health (83 citations) and Epidemiology (129 citations). Marc Biot has collaborated with scholars based in Belgium, South Africa and Uganda. Frequent co-authors include Tom Decroo, Nathan Ford, Barbara Telfer, Freya Rasschaert, Daniel Remartínez, Kathryn Chu, Lynne Wilkinson, Baltazar Candrinho, Helen Bygrave and Wim Van Damme. Their work appears in journals such as Tropical Medicine & International Health, Journal of the International AIDS Society, Transactions of the Royal Society of Tropical Medicine and Hygiene, Health Policy and Planning and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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