Gabriel Gras

4.0k citations
61 papers · 3.0k indexed · 1 hit paper · h-index 29

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Reproductive System and Pregnancy

Papers in

    • HIV Research and Treatment 33
    • Neuroinflammation and Neurodegeneration Mechanisms 14

Gabriel Gras

60 papers receiving 2.9k citations

Hit Papers

Macrophage activation switching: an asset for the resolution of inflammation 2005 · 671 citations
6712005202620122019200400600

Peers

Gabriel Gras
Comparison fields: 5 of 120
  • Virology 793
  • Immunology 1.2k
  • Neurology 437
  • Biological Psychiatry 119
  • Infectious Diseases 604
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Gabriel Gras relative to Robert J. Adams United States Robert J. Adams's profile →
Citations per field
00.5×
Robert J. Adams · 1×
Citations per year

Countries citing papers authored by Gabriel Gras

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Gras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gabriel Gras, 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 Gabriel Gras Line = papers co-authored together Gabriel Gras links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010107
2 20098
3 200995
4 200814
5 200669
6 200637
7 20051
8 200414
9 200428
10 2004123
11 20027
12 200078
13 200020
14 20004
15 199922
16 19986
17 199776
18 199615
19 199617
20 19963

About Gabriel Gras

Gabriel Gras is a scholar working on Virology, Neurology, Biological Psychiatry, Immunology and Developmental Neuroscience, having authored 61 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (33 papers), Immune Cell Function and Interaction (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Neuroscience and Neuropharmacology Research (10 papers), HIV/AIDS Research and Interventions (9 papers), T-cell and B-cell Immunology (5 papers), Hepatitis B Virus Studies (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Virology (793 citations), Immunology (1.2k citations), Neurology (437 citations), Biological Psychiatry (119 citations) and Infectious Diseases (604 citations). Gabriel Gras has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Fabrice Porcheray, Boubekeur Samah, Dominique Dormont, Nathalie Dereuddre‐Bosquet, A.C. Rimaniol, D Dormont, Sophie Viaud, Roger Le Grand, Pierre Roques and Anne‐Cécile Rimaniol. Their work appears in journals such as American Journal of Reproductive Immunology, Blood, Vaccine, Clinical & Experimental Immunology and Retrovirology.

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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