Aymeric de Parseval
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Virology 15
- HIV Research and Treatment 15
- Immunology 10
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Co-authors
- John H. Elder (17 shared papers)Udayan Chatterji (5 shared papers)Peiqing Sun (3 shared papers)Chris K. Grant (4 shared papers)Benhur Lee (2 shared papers)Danica L. Lerner (2 shared papers)Kevin B. Gurney (1 shared paper)Patrick Hong (1 shared paper)
- Journals
- Journal of Virology (12 papers)Veterinary Immunology and Immunopathology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesPolandSwitzerland
In The Last Decade
Aymeric de Parseval
18 papers receiving 749 citations
Peers
Comparison fields: 5 of 50
- Virology 572
- Immunology 231
- Epidemiology 318
- Genetics 193
- Infectious Diseases 105
Countries citing papers authored by Aymeric de Parseval
This map shows the geographic impact of Aymeric de Parseval'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 Aymeric de Parseval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aymeric de Parseval more than expected).
Fields of papers citing papers by Aymeric de Parseval
This network shows the impact of papers produced by Aymeric de Parseval. 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 Aymeric de Parseval. The network helps show where Aymeric de Parseval may publish in the future.
Co-authors
The 25 scholars most cited alongside Aymeric de Parseval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 88 | |
| 2 | 2002 | 76 | |
| 3 | 2005 | 76 | |
| 4 | 2001 | 73 | |
| 5 | 1999 | 54 | |
| 6 | 1997 | 51 | |
| 7 | 2004 | 44 | |
| 8 | 2007 | 37 | |
| 9 | 2008 | 37 | |
| 10 | 2006 | 34 | |
| 11 | 2004 | 31 | |
| 12 | 1998 | 29 | |
| 13 | 2004 | 29 | |
| 14 | 2002 | 27 | |
| 15 | 2006 | 22 | |
| 16 | 2008 | 19 | |
| 17 | 2009 | 16 | |
| 18 | 2006 | 14 |
About Aymeric de Parseval
Aymeric de Parseval is a scholar working on Virology, Immunology, Epidemiology, Molecular Biology and Genetics, having authored 18 papers that have together received 757 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Herpesvirus Infections and Treatments (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Virology (572 citations), Immunology (231 citations), Epidemiology (318 citations), Genetics (193 citations) and Infectious Diseases (105 citations). Aymeric de Parseval has collaborated with scholars based in United States, Poland and Switzerland. Frequent co-authors include John H. Elder, Udayan Chatterji, Peiqing Sun, Chris K. Grant, Benhur Lee, Danica L. Lerner, Kevin B. Gurney, Patrick Hong, K. Jagannadha Sastry and Brian J. Willett. Their work appears in journals such as Journal of Virology, Veterinary Immunology and Immunopathology, Proceedings of the National Academy of Sciences, Nature Structural & Molecular Biology 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.