Philippe Gallay

12.9k citations
132 papers · 10.5k indexed · 1 hit paper · h-index 44

Philippe Gallay

130 papers receiving 10.2k citations

Hit Papers

In Vivo Gene Delivery and Stable Transduction of Nondivid...3.9k199620262006201610002.0k3.0k

Peers

Philippe Gallay
Comparison fields: 5 of 132
  • Virology 2.7k
  • Hepatology 1.3k
  • Immunology 2.4k
  • Infectious Diseases 2.1k
  • Genetics 2.9k
Replace Hongkui Deng with:
Hongkui Deng China
Riccardo Cortese Italy
Pierre Charneau France
Derya Unutmaz United States
John C. Kappes United States
Ara G. Hovanessian France
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Charles E. Samuel United States
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Philippe Gallay

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Gallay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20240
3 20231
4 202211
5 202119
6 202127
7 202019
8 20169
9 201437
10 2007133
11 20050
12 200576
13 200445
14
Lipopolysaccharide binding protein as a marker of inflammation in synovial fluid of patients with arthritis: correlation with interleukin 6 and C-reactive protein.
199529
15
Contribution of lipopolysaccharide binding protein (LBP) in endotoxemic shock in mice.
19951
16 1995272
17 1995304
18 19947
19 199425
20 199110

About Philippe Gallay

Philippe Gallay is a scholar working on Virology, Hepatology, Immunology, Microbiology and Infectious Diseases, having authored 132 papers that have together received 10.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (53 papers), Signaling Pathways in Disease (50 papers), Hepatitis C virus research (40 papers), Hepatitis B Virus Studies (20 papers), Immune Response and Inflammation (15 papers), HIV/AIDS drug development and treatment (11 papers), HIV/AIDS Research and Interventions (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Virology (2.7k citations), Hepatology (1.3k citations), Immunology (2.4k citations), Infectious Diseases (2.1k citations) and Genetics (2.9k citations). Philippe Gallay has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Didier Trono, Ulrike Blömer, Richard C. Mulligan, Daniel Ory, Fred H. Gage, Inder M. Verma, Luigi Naldini, Michael Bobardt, Udayan Chatterji and Didier Heumann. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy, Journal of Hepatology, Journal of Virology and Journal of Biological Chemistry.

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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