Vincent Caval

20 papers receiving 331 citations

Peers

Vincent Caval
Comparison fields: 5 of 42
  • Virology 50
  • Cancer Research 65
  • Molecular Biology 215
  • Immunology 60
  • Infectious Diseases 34
Replace Rithun Mukherjee with:
Rithun Mukherjee United States
Bianka Mußil Germany
Philipp Schult Germany
Valdimara Corrêa Vieira Brazil
Johanna A. Smith United States
Matthias Hamdorf United States
Catherine Sodroski United States
Anne L’Hernault United Kingdom
Laura Papon France
Shinwa Shibata Japan
Vincent Caval relative to Rithun Mukherjee United States Rithun Mukherjee's profile →
Citations per field
00.5×2.5×
Rithun Mukherjee · 1×
Citations per year

Countries citing papers authored by Vincent Caval

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Caval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 201560
3 201732
4 201526
5 201325
6 201614
7 201911
8 201410
9 202410
10 20239
11 20218
12 20195
13 20194
14 20233
15 20183
16 20233
17 20222
18 20162
19 20111
20 20211

About Vincent Caval

Vincent Caval is a scholar working on Molecular Biology, Virology, Epidemiology, Infectious Diseases and Immunology, having authored 22 papers that have together received 333 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Hepatitis B Virus Studies (4 papers), interferon and immune responses (3 papers), RNA regulation and disease (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA Interference and Gene Delivery (2 papers), HIV/AIDS drug development and treatment (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Virology (50 citations), Cancer Research (65 citations), Molecular Biology (215 citations), Immunology (60 citations) and Infectious Diseases (34 citations). Vincent Caval has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Simon Wain–Hobson, Rodolphe Suspène, Jean‐Pierre Vartanian, Hélène Laude, Bianka Mußil, Valérie Thiers, Jean‐Christophe Pagès, Éric Piver, Pascale Bouillé and Luc Sensebé. Their work appears in journals such as Scientific Reports, Nature Communications, Nucleic Acids Research, The Journal of Infectious Diseases and Biochemical and Biophysical Research Communications.

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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