Aurélien Corneau
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 17
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 4
- Immune cells in cancer 3
-
- Single-cell and spatial transcriptomics 7
- Muscle Physiology and Disorders 5
- Co-authors
- Lorenzo Giordani (3 shared papers)Elisa Négroni (3 shared papers)Hiroshi Sakai (2 shared papers)Raymond Wan (2 shared papers)Fabien Le Grand (2 shared papers)Shahragim Tajbakhsh (2 shared papers)Justin Law (2 shared papers)Gary J. He (2 shared papers)
- Journals
- PLoS Pathogens (2 papers)PLoS ONE (2 papers)iScience (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Blood (1 paper)
- Partner nations
- FranceUnited StatesBurkina Faso
In The Last Decade
Aurélien Corneau
26 papers receiving 644 citations
Peers
Comparison fields: 5 of 67
- Virology 94
- Immunology 206
- Genetics 75
- Aging 12
- Molecular Biology 371
Countries citing papers authored by Aurélien Corneau
This map shows the geographic impact of Aurélien Corneau'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 Aurélien Corneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Corneau more than expected).
Fields of papers citing papers by Aurélien Corneau
This network shows the impact of papers produced by Aurélien Corneau. 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 Aurélien Corneau. The network helps show where Aurélien Corneau may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Corneau, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 262 | |
| 2 | 2015 | 52 | |
| 3 | 2013 | 45 | |
| 4 | 2014 | 44 | |
| 5 | 2022 | 36 | |
| 6 | 2016 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2021 | 10 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Aurélien Corneau
Aurélien Corneau is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Genetics and Virology, having authored 27 papers that have together received 646 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Single-cell and spatial transcriptomics (7 papers), Muscle Physiology and Disorders (5 papers), HIV Research and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Virology (94 citations), Immunology (206 citations), Genetics (75 citations), Aging (12 citations) and Molecular Biology (371 citations). Aurélien Corneau has collaborated with scholars based in France, United States and Burkina Faso. Frequent co-authors include Lorenzo Giordani, Elisa Négroni, Hiroshi Sakai, Raymond Wan, Fabien Le Grand, Shahragim Tajbakhsh, Justin Law, Gary J. He, Tom H. Cheung and Roger Le Grand. Their work appears in journals such as PLoS Pathogens, PLoS ONE, iScience, Methods in enzymology on CD-ROM/Methods in enzymology and Blood.
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.