Philippe Gallay
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Hepatology top 0.5%
- Hepatitis C virus research
Papers in
-
- Signaling Pathways in Disease 50
- Virology 49
- HIV Research and Treatment 49
- Co-authors
- Didier Trono (9 shared papers)Fred H. Gage (1 shared paper)Ulrike Blömer (1 shared paper)Luigi Naldini (1 shared paper)Daniel Ory (1 shared paper)Inder M. Verma (1 shared paper)Richard C. Mulligan (1 shared paper)Michael Bobardt (62 shared papers)
- Journals
- PLoS ONE (14 papers)Antimicrobial Agents and Chemotherapy (11 papers)Journal of Hepatology (10 papers)Journal of Virology (10 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Philippe Gallay
130 papers receiving 10.3k citations
Philippe Gallay's Hit Papers
Peers
Comparison fields: 5 of 127
- Virology 2.6k
- Hepatology 1.2k
- Immunology 2.3k
- Infectious Diseases 1.9k
- Genetics 2.7k
Countries citing papers authored by Philippe Gallay
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
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-authors
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.
All Works
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In Vivo Gene Delivery and Stable Transduction of Nondividing Cells by a Lentiviral Vector Hit paper breakdown → | 1996 | 3908 |
| 2 | 1997 | 424 | |
| 3 | 1995 | 304 | |
| 4 | 2002 | 274 | |
| 5 | 1995 | 272 | |
| 6 | 1994 | 259 | |
| 7 | 1996 | 222 | |
| 8 | 2001 | 209 | |
| 9 | 1992 | 198 | |
| 10 | 2008 | 179 | |
| 11 | 2003 | 172 | |
| 12 | 2009 | 159 | |
| 13 | 2010 | 144 | |
| 14 | 2006 | 140 | |
| 15 | 2007 | 134 | |
| 16 | 2008 | 125 | |
| 17 | 2011 | 114 | |
| 18 | 1993 | 107 | |
| 19 | 2008 | 104 | |
| 20 | 1993 | 99 |
About Philippe Gallay
Philippe Gallay is a scholar working on Molecular Biology, Virology, Immunology, Hepatology and Epidemiology, having authored 132 papers that have together received 10.6k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (50 papers), HIV Research and Treatment (49 papers), Hepatitis C virus research (35 papers), Hepatitis B Virus Studies (19 papers), Immune Response and Inflammation (15 papers), HIV/AIDS drug development and treatment (10 papers), Immune Cell Function and Interaction (9 papers) and Toxin Mechanisms and Immunotoxins (8 papers). The work is most often cited by research in Virology (2.6k citations), Hepatology (1.2k citations), Immunology (2.3k citations), Infectious Diseases (1.9k citations) and Genetics (2.7k citations). Philippe Gallay has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Didier Trono, Fred H. Gage, Ulrike Blömer, Luigi Naldini, Daniel Ory, Inder M. Verma, Richard C. Mulligan, 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.