Anne Gallay

1.6k total citations · 1 hit paper
34 papers, 1.0k citations indexed

About

Anne Gallay is a scholar working on Epidemiology, Infectious Diseases and Neurology. According to data from OpenAlex, Anne Gallay has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Infectious Diseases and 6 papers in Neurology. Recurrent topics in Anne Gallay's work include Data-Driven Disease Surveillance (6 papers), Long-Term Effects of COVID-19 (5 papers) and Chronic Disease Management Strategies (4 papers). Anne Gallay is often cited by papers focused on Data-Driven Disease Surveillance (6 papers), Long-Term Effects of COVID-19 (5 papers) and Chronic Disease Management Strategies (4 papers). Anne Gallay collaborates with scholars based in France, Netherlands and Belgium. Anne Gallay's co-authors include Patrice Sednaoui, Daniel Golparian, Makoto Ohnishi, Magnus Unemo, Robert A. Nicholas, Évelyne Kohli, Fabienne Bon, Franco Maria Ruggeri, Marina Monini and Dario De Medici and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Anne Gallay

32 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Level Cefixime- and Ceftriaxone-Resistant Neisseria gonorrhoeae in France: NovelpenAMosaic Allele in a Successful International Clone Causes Treatment Failure

2011 482 citations Anne Gallay, Patrice Sednaoui et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne Gallay France	13	472	348	292	139	124	34	1.0k
R. Gorton United Kingdom	18	123 0.3×	232 0.7×	159 0.5×	350 2.5×	88 0.7×	33	814
J. Dave United Kingdom	18	505 1.1×	360 1.0×	320 1.1×	238 1.7×	72 0.6×	41	1.1k
Usman N. Ikumapayi Gambia	15	159 0.3×	185 0.5×	30 0.1×	237 1.7×	213 1.7×	28	832
William M. Janda United States	19	531 1.1×	345 1.0×	170 0.6×	535 3.8×	45 0.4×	68	1.3k
Géraldine Hall United States	19	374 0.8×	622 1.8×	127 0.4×	566 4.1×	29 0.2×	33	1.5k
Xavier Vallès Spain	18	145 0.3×	379 1.1×	32 0.1×	624 4.5×	137 1.1×	53	1.2k
Chia‐Jui Yang Taiwan	19	197 0.4×	400 1.1×	205 0.7×	399 2.9×	20 0.2×	83	1.1k
Yuejie Zheng China	20	222 0.5×	565 1.6×	66 0.2×	704 5.1×	82 0.7×	60	1.6k
Jean Longtin Canada	17	381 0.8×	759 2.2×	221 0.8×	727 5.2×	21 0.2×	52	1.5k
Joan Barenfanger United States	16	116 0.2×	376 1.1×	134 0.5×	555 4.0×	10 0.1×	34	1.1k

Countries citing papers authored by Anne Gallay

Since Specialization

Citations

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

Fields of papers citing papers by Anne Gallay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Gallay

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

All Works

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20 of 20 papers shown

Coste, Joël, Cyrille Delpierre, Olivier Robineau, et al.. (2025). A multidimensional network of factors associated with long COVID in the French population. Communications Medicine. 5(1). 114–114. 2 indexed citations

Tebeka, Sarah, Joël Coste, Tatjana T. Makovski, et al.. (2024). Dissecting the association between long COVID and depressive symptoms in a nationally representative population from France. Journal of Psychosomatic Research. 187. 111961–111961. 2 indexed citations

Francis-Oliviero, Florence, Panayotis Constantinou, Romana Haneef, et al.. (2024). The health state of France before COVID-19 pandemic between 1990 and 2019: an analysis of the Global Burden of Disease study 2019. The Lancet Regional Health - Europe. 39. 100848–100848. 1 indexed citations

Motreff, Yvon, Charlotte Verdot, Louise Seconda, et al.. (2024). Implementation of a Novel Epidemiological Surveillance System for Children’s Mental Health and Well-Being in France: Protocol for the National “Enabee” Cross-Sectional Study. JMIR Public Health and Surveillance. 10. e57584–e57584. 1 indexed citations

Tebeka, Sarah, Laure Carcaillon‐Bentata, Caroline Alleaume, et al.. (2023). Complex association between post-COVID-19 condition and anxiety and depression symptoms. European Psychiatry. 67(1). e1–e1. 12 indexed citations

Aghakhani, Nozar, et al.. (2022). Validity of algorithms for identifying mild traumatic brain injury in the French national emergency department database OSCOUR: a retrospective multicentre validation study protocol. BMJ Open. 12(12). e059961–e059961.

Haneef, Romana, Mariken Tijhuis, Rodolphe Thiébaut, et al.. (2022). Methodological guidelines to estimate population-based health indicators using linked data and/or machine learning techniques. Archives of Public Health. 80(1). 9–9. 6 indexed citations

Barry, Yaya, Yann Le Strat, Élie Azria, et al.. (2022). Ability of municipality-level deprivation indices to capture social inequalities in perinatal health in France: A nationwide study using preterm birth and small for gestational age to illustrate their relevance. BMC Public Health. 22(1). 919–919. 10 indexed citations

Sarmiento-Suárez, Rodrigo, Alicia Padrón‐Monedero, Petronille Bogaert, et al.. (2022). The InfAct proposal for a sustainable European health information infrastructure on population health: the Distributed Infrastructure on Population Health (DIPoH). Archives of Public Health. 80(1). 139–139. 3 indexed citations

10.

Padrón‐Monedero, Alicia, Rodrigo Sarmiento-Suárez, Petronille Bogaert, et al.. (2022). Integrating technical and political views for a sustainable European Distributed Infrastructure on Population Health. Archives of Public Health. 80(1). 29–29. 3 indexed citations

11.

Haneef, Romana, Sofiane Kab, Sonsoles Fuentes, et al.. (2021). Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France. Archives of Public Health. 79(1). 168–168. 13 indexed citations

12.

Haneef, Romana, Marie Delnord, Michel Vernay, et al.. (2020). Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries. Archives of Public Health. 78(1). 55–55. 19 indexed citations

13.

Rey, Grégoire, et al.. (2019). A New Approach to Compare the Performance of Two Classification Methods of Causes of Death for Timely Surveillance in France. Studies in health technology and informatics. 264. 925–929. 1 indexed citations

14.

Rey, Grégoire, et al.. (2019). Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France. International Journal of Medical Informatics. 131. 103915–103915. 8 indexed citations

15.

Mounié, Michaël, et al.. (2018). Waterborne Disease Outbreak Detection: A Simulation-Based Study. International Journal of Environmental Research and Public Health. 15(7). 1505–1505. 7 indexed citations

16.

Champenois, Karen, Anthony Cousien, V. Baclet, et al.. (2012). Risk factors for syphilis infection in men who have sex with men: results of a case–control study in Lille, France. Sexually Transmitted Infections. 89(2). 128–132. 25 indexed citations

17.

Lot, Florence, et al.. (2012). A three-source capture-recapture estimate of the number of new HIV diagnoses in children in France from 2003–2006 with multiple imputation of a variable of heterogeneous catchability. BMC Infectious Diseases. 12(1). 251–251. 23 indexed citations

18.

Falchi, Alessandra, Andréa Lasserre, Anne Gallay, et al.. (2011). A survey of primary care physician practices in antibiotic prescribing for the treatment of uncomplicated male gonoccocal urethritis. BMC Family Practice. 12(1). 35–35. 14 indexed citations

19.

Gallay, Anne, V. Bousquet, Valérie Prouzet‐Mauleon, et al.. (2008). Risk Factors for Acquiring SporadicCampylobacterInfection in France: Results from a National Case‐Control Study. The Journal of Infectious Diseases. 197(10). 1477–1484. 42 indexed citations

20.

Bon, Fabienne, Dario De Medici, Sylvain Parnaudeau, et al.. (2006). Detection of Multiple Noroviruses Associated with an International Gastroenteritis Outbreak Linked to Oyster Consumption. Journal of Clinical Microbiology. 44(11). 3878–3882. 178 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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