Sibylle Bernard-Stoecklin

2.9k total citations
15 papers, 740 citations indexed

About

Sibylle Bernard-Stoecklin is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Sibylle Bernard-Stoecklin has authored 15 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Virology and 4 papers in Epidemiology. Recurrent topics in Sibylle Bernard-Stoecklin's work include HIV Research and Treatment (4 papers), COVID-19 epidemiological studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Sibylle Bernard-Stoecklin is often cited by papers focused on HIV Research and Treatment (4 papers), COVID-19 epidemiological studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Sibylle Bernard-Stoecklin collaborates with scholars based in France, Italy and United States. Sibylle Bernard-Stoecklin's co-authors include Baptiste Mulot, Thiérry Heidmann, Guillaume Cornelis, Odile Heidmann, Anne Dupressoír, Roger Le Grand, Géraldine Veron, Karine Reynaud, Julie Figoni and Thierry Blanchon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

Sibylle Bernard-Stoecklin

15 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sibylle Bernard-Stoecklin France	10	251	160	158	130	107	15	740
Tomoya Saito Japan	15	186 0.7×	165 1.0×	71 0.4×	181 1.4×	33 0.3×	42	598
Nicole A. Hoff United States	17	269 1.1×	323 2.0×	124 0.8×	168 1.3×	29 0.3×	66	788
Amadou Diallo Senegal	12	723 2.9×	116 0.7×	135 0.9×	201 1.5×	44 0.4×	60	1.1k
Nicki Pesik United States	16	466 1.9×	106 0.7×	218 1.4×	289 2.2×	80 0.7×	33	1.1k
Jin Zhao China	22	1.1k 4.3×	474 3.0×	70 0.4×	228 1.8×	106 1.0×	95	1.7k
Natasha L. Tilston‐Lunel United States	17	679 2.7×	502 3.1×	240 1.5×	75 0.6×	65 0.6×	25	1.1k
Noreen A. Hynes United States	16	729 2.9×	149 0.9×	83 0.5×	63 0.5×	41 0.4×	32	1.2k
Moreno Magalhães de Souza Rodrigues Brazil	17	199 0.8×	120 0.8×	100 0.6×	31 0.2×	29 0.3×	66	708
Aaron M. Samuels United States	18	252 1.0×	183 1.1×	44 0.3×	61 0.5×	77 0.7×	48	1.3k
Katharine S. Walter United States	15	376 1.5×	174 1.1×	37 0.2×	39 0.3×	42 0.4×	35	729

Countries citing papers authored by Sibylle Bernard-Stoecklin

Since Specialization

Citations

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

Fields of papers citing papers by Sibylle Bernard-Stoecklin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibylle Bernard-Stoecklin

This figure shows the co-authorship network connecting the top 25 collaborators of Sibylle Bernard-Stoecklin. A scholar is included among the top collaborators of Sibylle Bernard-Stoecklin 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 Sibylle Bernard-Stoecklin. Sibylle Bernard-Stoecklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Clercq, A De, Claire Nour Abou Chakra, Marta C. Nunes, et al.. (2025). Influenza vaccine effectiveness and genetic diversity: insights from end-of-season community surveillance, France, 2024–2025. Emerging Microbes & Infections. 14(1). 2562045–2562045. 1 indexed citations

Bougeard, Stéphanie, Adeline Huneau‐Salaün, Mikaël Attia, et al.. (2023). Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study. JMIR Public Health and Surveillance. 9. e46898–e46898. 1 indexed citations

Briand, François‐Xavier, Isabelle Pierre, Véronique Béven, et al.. (2023). Highly Pathogenic Avian Influenza A(H5N1) Clade 2.3.4.4b Virus in Domestic Cat, France, 2022. Emerging infectious diseases. 29(8). 1696–1698. 47 indexed citations

Figoni, Julie, Alexandra Mailles, Julien Durand, et al.. (2022). Impact of the Omicron variant on SARS-CoV-2 reinfections in France, March 2021 to February 2022. Eurosurveillance. 27(13). 25 indexed citations

Masse, Shirley, Sylvie van der Werf, Bruno Lina, et al.. (2021). Estimation of influenza-attributable burden in primary care from season 2014/2015 to 2018/2019, France. European Journal of Clinical Microbiology & Infectious Diseases. 40(6). 1263–1269. 2 indexed citations

Souty, Cécile, Caroline Guerrisi, Shirley Masse, et al.. (2021). Impact of the lockdown on the burden of COVID-19 in outpatient care in France, spring 2020. Infectious Diseases. 53(5). 376–381. 8 indexed citations

Pullano, Giulia, Laura Di Domenico, C Sabbatini, et al.. (2020). Underdetection of cases of COVID-19 in France threatens epidemic control. Nature. 590(7844). 134–139. 149 indexed citations

Danis, Kostas, Laure Fonteneau, Scarlett Georges, et al.. (2020). High impact of COVID-19 in long-term care facilities, suggestion for monitoring in the EU/EEA, May 2020. Eurosurveillance. 25(22). 156 indexed citations

Bernard-Stoecklin, Sibylle, Céline Gommet, Benoît Delache, et al.. (2020). Innate and Adaptive Anti-SIV Responses in Macaque Semen: Implications for Infectivity and Risk of Transmission. Frontiers in Immunology. 11. 850–850. 6 indexed citations

10.

Bernard-Stoecklin, Sibylle, Birgit Nikolay, Abdullah M. Assiri, et al.. (2019). Comparative Analysis of Eleven Healthcare-Associated Outbreaks of Middle East Respiratory Syndrome Coronavirus (Mers-Cov) from 2015 to 2017. Scientific Reports. 9(1). 7385–7385. 35 indexed citations

11.

Matusali, Giulia, Anna Le Tortorec, Marie‐France Moreau, et al.. (2015). Detection of Simian Immunodeficiency Virus in Semen, Urethra, and Male Reproductive Organs during Efficient Highly Active Antiretroviral Therapy. Journal of Virology. 89(11). 5772–5787. 40 indexed citations

12.

Bernard-Stoecklin, Sibylle, Céline Gommet, Mariangela Cavarelli, & Roger Le Grand. (2014). Nonhuman Primate Models for Cell-Associated Simian Immunodeficiency Virus Transmission: The Need to Better Understand the Complexity of HIV Mucosal Transmission. The Journal of Infectious Diseases. 210(suppl 3). S660–S666. 15 indexed citations

13.

Cornelis, Guillaume, Odile Heidmann, Séverine A. Degrelle, et al.. (2013). Captured retroviral envelope syncytin gene associated with the unique placental structure of higher ruminants. Proceedings of the National Academy of Sciences. 110(9). E828–37. 112 indexed citations

14.

Bernard-Stoecklin, Sibylle, Céline Gommet, Aurélien Corneau, et al.. (2013). Semen CD4+ T Cells and Macrophages Are Productively Infected at All Stages of SIV infection in Macaques. PLoS Pathogens. 9(12). e1003810–e1003810. 45 indexed citations

15.

Cornelis, Guillaume, Odile Heidmann, Sibylle Bernard-Stoecklin, et al.. (2012). Ancestral capture of syncytin-Car1 , a fusogenic endogenous retroviral envelope gene involved in placentation and conserved in Carnivora. Proceedings of the National Academy of Sciences. 109(7). E432–41. 98 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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