Jean‐Philippe Leroy

488 citations
29 papers · 340 indexed · h-index 9
Topics
Medical Research and Practices (7 papers)Biomedical Text Mining and Ontologies (5 papers)Mosquito-borne diseases and control (5 papers)
Partner nations
FranceMonaco

In The Last Decade

Jean‐Philippe Leroy

24 papers receiving 318 citations

Peers

Jean‐Philippe Leroy
Comparison fields: 5 of 72
  • Microbiology 138
  • Epidemiology 134
  • Molecular Biology 118
  • Artificial Intelligence 93
  • General Health Professions 35
Replace D.T. Geraets with:
D.T. Geraets Netherlands
Kanan Desai United States
Hongfang Liu United States
Jean Mather United Kingdom
Macarena Garrido‐Estepa Spain
Usha Rani Poli India
Fernando Cárdenas Bolivia
Mayoore S. Jaiswal United States
Martin Černý Czechia
A Verdaguer Spain
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Citations per field
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D.T. Geraets · 1×
Citations per year

Countries citing papers authored by Jean‐Philippe Leroy

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Philippe Leroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Philippe Leroy

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 2
3 0
4 1
5 0
6 10
7 4
8 29
9 1
10 17
11 85
12
Yellow fever: epidemiology and vaccination for travelers.
0
13 27
14
Metadata element sets in the CISMeF quality-controlled health gateway
1
15
Doc'CISMEF: a search tool based on "encapsulated" MeSH thesaurus.
7
16 0
17
Internet of Dublin core metadata in CISMeF, a structured health resource guide on the internet
1
18 3
19 78
20
CISMeF : catalogue et index des sites médicaux francophones
0

About Jean‐Philippe Leroy

Jean‐Philippe Leroy is a scholar working on Medical Terminology, Health Information Management and Microbiology, having authored 29 papers that have together received 340 indexed citations. Recurring topics across this work include Medical Research and Practices (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Medical Terminology (11 citations), Microbiology (138 citations) and Epidemiology (134 citations). Jean‐Philippe Leroy has collaborated with scholars based in France and Monaco. Frequent co-authors include Stéfan Darmoni, Benoı̂t Thirion, Muhamed‐Kheir Taha, François Caron, Jacques Bénichou, Eva Hong, Ala‐Eddine Deghmane, V. Delbos, Ludovic Lemée and Gilles Berthelot. Their work appears in journals such as The Lancet Infectious Diseases, Vaccine and International Journal of Medical Informatics.

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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