Bernard Tenebray

552 total citations
13 papers, 444 citations indexed

About

Bernard Tenebray is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bernard Tenebray has authored 13 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Epidemiology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bernard Tenebray's work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers) and Bacterial Infections and Vaccines (5 papers). Bernard Tenebray is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers) and Bacterial Infections and Vaccines (5 papers). Bernard Tenebray collaborates with scholars based in France, Niger and United States. Bernard Tenebray's co-authors include Pierre Nicolas, S Chanteau, Isabelle Leparc-Goffart, P. Boisier, Olivier Flusin, S. Djibo, Christine Prat, Halima Boubacar Maïnassara, Muhamed‐Kheir Taha and Isabelle Jeanne and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Bernard Tenebray

11 papers receiving 427 citations

Peers

Bernard Tenebray
Bernard Tenebray
Citations per year, relative to Bernard Tenebray Bernard Tenebray (= 1×) peers Hiromi Toyoizumi‐Ajisaka

Countries citing papers authored by Bernard Tenebray

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Tenebray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Tenebray

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Tenebray. A scholar is included among the top collaborators of Bernard Tenebray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard Tenebray. Bernard Tenebray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Briolant, Sébastien, Damien Claverie, Bernard Tenebray, et al.. (2025). Zika virus-specific and orthoflavivirus-cross-reactive IgGs correlate with Zika virus seroneutralization depending on prior dengue virus infection. PLoS neglected tropical diseases. 19(7). e0013274–e0013274.
2.
Stephen, Tharshana, Alexander Rouvinski, Bernard Tenebray, et al.. (2025). Prolonged Zika Virus NS1 Protein Circulation in Patient Sera Impacts Clinical Outcome Before the Rise of a Specific IgM Response. Journal of Medical Virology. 97(5). e70368–e70368.
3.
Claverie, Damien, Franck de Laval, Bernard Tenebray, et al.. (2023). The Wood equation allows consistent fitting of individual antibody-response profiles of Zika virus or SARS-CoV-2 infected patients. Heliyon. 9(11). e21945–e21945. 3 indexed citations
4.
Aliota, Matthew T., Michel L. Vandenplas, Bernard Tenebray, et al.. (2020). No evidence for sylvatic cycles of chikungunya, dengue and Zika viruses in African green monkeys (Chlorocebus aethiops sabaeus) on St. Kitts, West Indies. Parasites & Vectors. 13(1). 540–540. 9 indexed citations
5.
Gravier, P., Bernard Tenebray, Sébastien Briolant, et al.. (2019). High specificity and sensitivity of Zika EDIII-based ELISA diagnosis highlighted by a large human reference panel. PLoS neglected tropical diseases. 13(9). e0007747–e0007747. 25 indexed citations
7.
Prat, Christine, et al.. (2014). Evaluation of Commercially Available Serologic Diagnostic Tests for Chikungunya Virus. Emerging infectious diseases. 20(12). 2129–2132. 100 indexed citations
8.
Tenebray, Bernard, et al.. (2009). Use of a New Single Multiplex PCR-Based Assay for Direct Simultaneous Characterization of Six Neisseria meningitidis Serogroups. Journal of Clinical Microbiology. 47(8). 2662–2666. 18 indexed citations
9.
Nicolas, Pierre, Saacou Djibo, Bernard Tenebray, et al.. (2007). Populations of pharyngeal meningococci in Niger. Vaccine. 25. A53–A57. 8 indexed citations
10.
Boisier, P., Pierre Nicolas, S. Djibo, et al.. (2007). Meningococcal Meningitis: Unprecedented Incidence of Serogroup X--Related Cases in 2006 in Niger. Clinical Infectious Diseases. 44(5). 657–663. 190 indexed citations
11.
Boisier, P., Pierre Nicolas, Saacou Djibo, et al.. (2006). Carriage ofNeisseria meningitidisSerogroup W135 ST-2881. Emerging infectious diseases. 12(7). 1421–1423. 12 indexed citations
12.
Nicolas, Pierre, et al.. (2006). [Epidemics caused by group X meningoccal meningitis in Africa in 2006].. PubMed. 66(5). 494–494. 4 indexed citations
13.
Nicolas, Pierre, et al.. (2005). Molecular Epidemiology of Meningococci Isolated in Niger in 2003 Shows Serogroup A Sequence Type (ST)-7 and Serogroup W135 ST-11 or ST-2881 Strains. Journal of Clinical Microbiology. 43(3). 1437–1438. 20 indexed citations

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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