Jean‐Louis Gaillard

7.7k total citations · 1 hit paper
77 papers, 5.9k citations indexed

About

Jean‐Louis Gaillard is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Jean‐Louis Gaillard has authored 77 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Epidemiology, 42 papers in Infectious Diseases and 23 papers in Small Animals. Recurrent topics in Jean‐Louis Gaillard's work include Mycobacterium research and diagnosis (40 papers), Tuberculosis Research and Epidemiology (34 papers) and Infectious Diseases and Mycology (23 papers). Jean‐Louis Gaillard is often cited by papers focused on Mycobacterium research and diagnosis (40 papers), Tuberculosis Research and Epidemiology (34 papers) and Infectious Diseases and Mycology (23 papers). Jean‐Louis Gaillard collaborates with scholars based in France, Switzerland and United States. Jean‐Louis Gaillard's co-authors include Patrick Berche, Jean‐Louis Herrmann, Richard J. Kahnoski, Joëlle Mounier, Philippe Sansonetti, Martin Rottman, Béate Heym, Anne‐Laure Roux, Edouard Macheras and Audrey Bernut and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Jean‐Louis Gaillard

76 papers receiving 5.8k 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.

In vitro model of penetration and intracellular growth of Listeria monocytogenes in the human enterocyte-like cell line Caco-2

1987 607 citations Jean‐Louis Gaillard, Patrick Berche et al. Infection and Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean‐Louis Gaillard France	43	3.5k	2.8k	1.4k	984	872	77	5.9k
Gregory J. Bancroft United Kingdom	49	3.6k 1.0×	2.1k 0.8×	353 0.3×	1.2k 1.2×	2.5k 2.9×	99	6.9k
Jos P. M. van Putten Netherlands	55	1.5k 0.4×	1.6k 0.6×	328 0.2×	2.8k 2.8×	2.0k 2.3×	189	8.7k
Sung Jae Shin South Korea	45	4.5k 1.3×	3.9k 1.4×	1.7k 1.2×	1.4k 1.4×	1.4k 1.6×	276	7.0k
R. Rossau Belgium	28	2.5k 0.7×	1.3k 0.5×	372 0.3×	883 0.9×	321 0.4×	55	4.6k
Jean‐Louis Herrmann France	51	5.3k 1.5×	4.5k 1.6×	1.6k 1.1×	1.5k 1.6×	1.3k 1.4×	184	8.4k
Adrian M. Zelazny United States	37	2.4k 0.7×	1.9k 0.7×	930 0.7×	1.1k 1.1×	323 0.4×	115	4.6k
Anderson Miyoshi Brazil	40	856 0.2×	943 0.3×	729 0.5×	2.4k 2.4×	561 0.6×	175	5.5k
David O’Callaghan France	36	1.3k 0.4×	524 0.2×	2.1k 1.5×	907 0.9×	714 0.8×	124	4.6k
Nancy S. Taylor United States	46	1.1k 0.3×	1.9k 0.7×	1.6k 1.1×	1.4k 1.4×	1.6k 1.9×	105	7.2k
Ben J. Appelmelk Netherlands	48	1.9k 0.5×	2.0k 0.7×	617 0.4×	2.3k 2.3×	3.8k 4.4×	108	8.6k

Countries citing papers authored by Jean‐Louis Gaillard

Since Specialization

Citations

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

Fields of papers citing papers by Jean‐Louis Gaillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Louis Gaillard. 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 Jean‐Louis Gaillard. The network helps show where Jean‐Louis Gaillard may publish in the future.

Co-authorship network of co-authors of Jean‐Louis Gaillard

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Louis Gaillard. A scholar is included among the top collaborators of Jean‐Louis Gaillard 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 Jean‐Louis Gaillard. Jean‐Louis Gaillard 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

Dinh, Aurélien, Benjamin Davido, Clara Duran, et al.. (2019). Urinary tract infections in patients with neurogenic bladder. Médecine et Maladies Infectieuses. 49(7). 495–504. 36 indexed citations

Dumas, Emilie, Eva C. Boritsch, Mathias Vandenbogaert, et al.. (2016). Mycobacterial Pan-Genome Analysis Suggests Important Role of Plasmids in the Radiation of Type VII Secretion Systems. Genome Biology and Evolution. 8(2). 387–402. 76 indexed citations

Moigne, Vincent Le, Audrey Bernut, Bruno Pitard, et al.. (2016). MgtC as a Host-Induced Factor and Vaccine Candidate against Mycobacterium abscessus Infection. Infection and Immunity. 84(10). 2895–2903. 32 indexed citations

Sapriel, Guillaume, Mickael Orgeur, Lise Frézal, et al.. (2016). Genome-wide mosaicism within Mycobacterium abscessus: evolutionary and epidemiological implications. BMC Genomics. 17(1). 118–118. 50 indexed citations

Moigne, Vincent Le, Martin Rottman, Isabelle Poncin, et al.. (2015). Bacterial phospholipases C as vaccine candidate antigens against cystic fibrosis respiratory pathogens: The Mycobacterium abscessus model. Vaccine. 33(18). 2118–2124. 34 indexed citations

Roux, Anne‐Laure, Émilie Catherinot, Nathalie Soismier, et al.. (2014). Comparing Mycobacterium massiliense and Mycobacterium abscessus lung infections in cystic fibrosis patients. Journal of Cystic Fibrosis. 14(1). 63–69. 69 indexed citations

Macheras, Edouard, Anne‐Laure Roux, Sylvaine Bastian, et al.. (2014). Multilocus sequence typing scheme for the Mycobacterium abscessus complex. Research in Microbiology. 165(2). 82–90. 46 indexed citations

Dubrou, S., Edouard Macheras, B. Welté, et al.. (2013). Diversity, Community Composition, and Dynamics of Nonpigmented and Late-Pigmenting Rapidly Growing Mycobacteria in an Urban Tap Water Production and Distribution System. Applied and Environmental Microbiology. 79(18). 5498–5508. 24 indexed citations

Enouf, Vincent, Aurélie Schnuriger, Astrid Vabret, et al.. (2011). Monitoring epidemic viral respiratory infections using one-step real-Time Triplex RT-PCR targeting influenza A and B viruses and respiratory syncytial virus. Journal of Medical Virology. 83(4). 695–701. 17 indexed citations

10.

Neulat-Ripoll, Fabienne, Sophie Pasek, Chantal Schenowitz, et al.. (2009). Non Mycobacterial Virulence Genes in the Genome of the Emerging Pathogen Mycobacterium abscessus. PLoS ONE. 4(6). e5660–e5660. 298 indexed citations

11.

Roux, Anne‐Laure, Émilie Catherinot, Fabienne Neulat-Ripoll, et al.. (2009). Multicenter Study of Prevalence of Nontuberculous Mycobacteria in Patients with Cystic Fibrosis in France. Journal of Clinical Microbiology. 47(12). 4124–4128. 235 indexed citations

12.

Sivadon‐Tardy, Valérie, David Orlikowski, Raphaël Porcher, et al.. (2008). Guillain‐Barré Syndrome and Influenza Virus Infection. Clinical Infectious Diseases. 48(1). 48–56. 107 indexed citations

13.

Durand, Marie‐Christine, Raphaël Porcher, David Orlikowski, et al.. (2006). Clinical and electrophysiological predictors of respiratory failure in Guillain-Barré syndrome: a prospective study. The Lancet Neurology. 5(12). 1021–1028. 118 indexed citations

14.

Ferroni, Agnès, Hoang Vu-Thien, Philippe Lanotte, et al.. (2006). Value of the Chlorhexidine Decontamination Method for Recovery of Nontuberculous Mycobacteria from Sputum Samples of Patients with Cystic Fibrosis. Journal of Clinical Microbiology. 44(6). 2237–2239. 49 indexed citations

15.

Leflon, Véronique, E Ronco, Martin Rottman, et al.. (2005). Spread of a Klebsiella pneumoniae Strain Producing a Plasmid- Mediated ACC-1 AmpC β-Lactamase in a Teaching Hospital Admitting Disabled Patients. Antimicrobial Agents and Chemotherapy. 49(5). 2095–2097. 28 indexed citations

16.

Bourgeois, Muriel Le, Isabelle Sermet‐Gaudelus, É. Catherinot, & Jean‐Louis Gaillard. (2005). Mycobactéries atypiques et mucoviscidose. Archives de Pédiatrie. 12. S117–S121. 7 indexed citations

17.

Ferroni, A., Isabelle Sermet‐Gaudelus, Éric Abachin, et al.. (2003). Caractéristiques phénotypiques et génotypiques des souches atypiques de bacilles à Gram négatif non fermentants isolées chez des patients atteints de mucoviscidose. Pathologie Biologie. 51(7). 405–411. 5 indexed citations

18.

Fortineau, Nicolas, Patrick Trieu‐Cuot, Olivier Gaillot, et al.. (2000). Optimization of green fluorescent protein expression vectors for in vitro and in vivo detection of. Research in Microbiology. 151(5). 353–360. 73 indexed citations

19.

Conner‐Kerr, Teresa, et al.. (1998). The effects of ultraviolet radiation on antibiotic-resistant bacteria in vitro.. PubMed. 44(10). 50–6. 94 indexed citations

20.

Jouanguy, Emmanuelle, Salma Lamhamedi‐Cherradi, Frédéric Altare, et al.. (1997). Partial interferon-gamma receptor 1 deficiency in a child with tuberculoid bacillus Calmette-Guérin infection and a sibling with clinical tuberculosis.. Journal of Clinical Investigation. 100(11). 2658–2664. 282 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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