David Fenard

1.5k citations
37 papers · 1.2k · h-index 19

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 12
    • Virus-based gene therapy research 18

David Fenard

37 papers receiving 1.2k citations

Peers

David Fenard
Comparison fields: 5 of 82
  • Virology 543
  • Immunology 354
  • Infectious Diseases 270
  • Genetics 299
  • Microbiology 57
Replace Dominique Bergeron with:
Dominique Bergeron Canada
Juan Tan China
Patrick P. Rose United States
Jane Rasaiyaah United Kingdom
Daniel P. Bednarik United States
Maxime Moulard France
Terri G. Edwards United States
Michael G. Berg United States
Jean-Marc Jacqué United States
Shuliang Chen China
David Fenard relative to Dominique Bergeron Canada Dominique Bergeron's profile →
Citations per field
00.5×5×10×14.7×
Dominique Bergeron · 1×
Citations per year

Countries citing papers authored by David Fenard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004273
2 1999136
3 2005101
4 200169
5 200663
6 201360
7 200455
8 202249
9 200542
10 200841
11 201732
12 202431
13 201531
14 202429
15 201927
16 200924
17 201319
18 201319
19 201319
20 201718

About David Fenard

David Fenard is a scholar working on Virology, Genetics, Immunology, Oncology and Molecular Biology, 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), HIV Research and Treatment (12 papers), RNA Interference and Gene Delivery (12 papers), CAR-T cell therapy research (9 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 (543 citations), Immunology (354 citations), Infectious Diseases (270 citations), Genetics (299 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, Hakju Kwon, Dwayne A. Bisgrove, Lin‐Feng Chen, Eric M. Verdin, Jean‐Claude Lefebvre and Marielle Cavrois. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Journal of Biological Chemistry, Molecular Pharmacology, Journal of Virology and Nucleic Acids Research.

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.

Explore authors with similar magnitude of impact