B. Gicquel

478 citations
6 papers · 398 · h-index 3

Impact in

    • Tuberculosis Research and Epidemiology
    • Leprosy Research and Treatment
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis

Papers in

    • Tuberculosis Research and Epidemiology 5
    • Viral Infections and Outbreaks Research 1
    • Mycobacterium research and diagnosis 3

B. Gicquel

6 papers receiving 378 citations

Peers

B. Gicquel
Comparison fields: 5 of 44
  • Infectious Diseases 331
  • Epidemiology 326
  • Surgery 147
  • Microbiology 2
  • Molecular Medicine 13
Replace L. Teixeira with:
L. Teixeira Brazil
Lidia Catozzi Italy
Albert Kiers Netherlands
M. Y. L. De Wit Netherlands
Caroline Knott United Kingdom
Rama Murthy Sakamuri United States
E Engelke South Africa
Ajay Poudel Nepal
Solvig Roring United Kingdom
Nancimae Miller United States
B. Gicquel relative to L. Teixeira Brazil L. Teixeira's profile →
Citations per field
00.5×1.5×
L. Teixeira · 1×
Citations per year

Countries citing papers authored by B. Gicquel

Since Specialization
Citations

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

Fields of papers citing papers by B. Gicquel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside B. Gicquel, 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 B. Gicquel Line = papers co-authored together B. Gicquel links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1990354
2
No evidence for linkage between leprosy susceptibility and the human natural resistance-associated macrophage protein 1 (NRAMP1) gene in French Polynesia.
199722
3 199618
4
Genomic profile of Romanian M. tuberculosis strains appreciated by spoligotyping.
19982
5
Polymorphisme génétique des souches du complexe M. tuberculosis à Antananarivo
19951
6
[Genetic polymorphism of M. tuberculosis strains in Antananaviro].
19951

About B. Gicquel

B. Gicquel is a scholar working on Infectious Diseases, Epidemiology, Surgery, Health and Organic Chemistry, having authored 6 papers that have together received 398 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (3 papers), Vaccine Coverage and Hesitancy (1 paper), Viral Infections and Outbreaks Research (1 paper) and Diagnosis and treatment of tuberculosis (1 paper). The work is most often cited by research in Infectious Diseases (331 citations), Epidemiology (326 citations), Surgery (147 citations), Microbiology (2 citations) and Molecular Medicine (13 citations). B. Gicquel has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Jean‐Luc Guesdon, Kathleen D. Eisenach, Jack T. Crawford, M. Donald Cave, Dominique Thierry, Joseph H. Bates, S Chanteau, Gordon J. LeVee, Michel Roger and Erwin Schurr. Their work appears in journals such as Nucleic Acids Research, Vaccine and PubMed.

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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