David Fenard
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- RNA Interference and Gene Delivery 12
- CRISPR and Genetic Engineering 8
- Viral Infectious Diseases and Gene Expression in Insects 5
- Genetics 19
- Virus-based gene therapy research 18
- Co-authors
- Warner C. Greene (5 shared papers)Samuel A. Williams (2 shared papers)Alain Doglio (5 shared papers)Gérard Lambeau (4 shared papers)Eric Verdin (1 shared paper)Jean‐Claude Lefebvre (4 shared papers)Hakju Kwon (1 shared paper)Marielle Cavrois (3 shared papers)
- Journals
- Molecular Therapy — Methods & Clinical Development (4 papers)Journal of Biological Chemistry (3 papers)Journal of Virology (2 papers)Molecular Therapy (2 papers)Molecular Pharmacology (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
David Fenard
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Virology 537
- Immunology 336
- Infectious Diseases 265
- Genetics 289
- Microbiology 57
Countries citing papers authored by David Fenard
This map shows the geographic impact of David Fenard'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 David Fenard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fenard more than expected).
Fields of papers citing papers by David Fenard
This network shows the impact of papers produced by David Fenard. 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 David Fenard. The network helps show where David Fenard may publish in the future.
Co-authors
The 25 scholars most cited alongside David Fenard, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 266 | |
| 2 | 1999 | 135 | |
| 3 | 2005 | 97 | |
| 4 | 2001 | 69 | |
| 5 | 2006 | 64 | |
| 6 | 2013 | 58 | |
| 7 | 2004 | 55 | |
| 8 | 2005 | 42 | |
| 9 | 2022 | 42 | |
| 10 | 2008 | 41 | |
| 11 | 2017 | 32 | |
| 12 | 2015 | 30 | |
| 13 | 2024 | 25 | |
| 14 | 2009 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2013 | 19 | |
| 17 | 2013 | 19 | |
| 18 | 2013 | 19 | |
| 19 | 2014 | 17 | |
| 20 | 2017 | 16 |
About David Fenard
David Fenard is a scholar working on Molecular Biology, Genetics, Virology, Oncology and Immunology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), RNA Interference and Gene Delivery (12 papers), HIV Research and Treatment (12 papers), CAR-T cell therapy research (10 papers), CRISPR and Genetic Engineering (8 papers), Immune Cell Function and Interaction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Virology (537 citations), Immunology (336 citations), Infectious Diseases (265 citations), Genetics (289 citations) and Microbiology (57 citations). David Fenard has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Warner C. Greene, Samuel A. Williams, Alain Doglio, Gérard Lambeau, Eric Verdin, Jean‐Claude Lefebvre, Hakju Kwon, Marielle Cavrois, Dwayne A. Bisgrove and Lin‐Feng Chen. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Journal of Biological Chemistry, Journal of Virology, Molecular Therapy and Molecular Pharmacology.
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.