Philippe Leclerc

949 citations
21 papers · 769 · h-index 14

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Philippe Leclerc

21 papers receiving 759 citations

Peers

Philippe Leclerc
Comparison fields: 5 of 81
  • Hepatology 114
  • Neurology 74
  • Immunology 184
  • Behavioral Neuroscience 29
  • Virology 37
Replace Li‐Ping Liu with:
Li‐Ping Liu China
Rika Ouchida Japan
Machteld M. J. Polfliet Netherlands
Peter C. Heinrich Germany
Waldemar Kolanus Germany
Annette Schwartz United States
David Saliba United Kingdom
Lijing Zhu China
Shigeki Miyawaki Japan
Simone Vogel Germany
Philippe Leclerc relative to Li‐Ping Liu China Li‐Ping Liu's profile →
Citations per field
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Li‐Ping Liu · 1×
Citations per year

Countries citing papers authored by Philippe Leclerc

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Leclerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Leclerc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Leclerc Line = papers co-authored together Philippe Leclerc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014159
2 2004144
3 199862
4 200456
5 200643
6 200341
7 200141
8 200441
9 200532
10 201124
11 200623
12 201021
13 199914
14 200514
15 200212
16 202210
17 199310
18 20099
19 19989
20 20043

About Philippe Leclerc

Philippe Leclerc is a scholar working on Molecular Biology, Genetics, Immunology, Epidemiology and Infectious Diseases, having authored 21 papers that have together received 769 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Heat shock proteins research (3 papers), HIV Research and Treatment (2 papers), Liver physiology and pathology (2 papers), Hormonal Regulation and Hypertension (2 papers), Cytomegalovirus and herpesvirus research (2 papers), thermodynamics and calorimetric analyses (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Hepatology (114 citations), Neurology (74 citations), Immunology (184 citations), Behavioral Neuroscience (29 citations) and Virology (37 citations). Philippe Leclerc has collaborated with scholars based in France. Frequent co-authors include Xavier Mariette, Corinne Miceli‐Richard, J Quillard, F. Lavie, Sophie Roux, Marc Tardieu, Anne Weber, Anne Corlu, Clara Steichen and Anne Dubart‐Kupperschmitt. Their work appears in journals such as Molecular Endocrinology, Experimental Cell Research, Blood, Journal of Antimicrobial Chemotherapy and Endocrinology.

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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