Benoît Vokaer
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Transplantation top 10%
Papers in
-
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
- Immunodeficiency and Autoimmune Disorders 2
- Immune cells in cancer 2
- Psoriasis: Treatment and Pathogenesis 2
-
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Alaín Le Moine (12 shared papers)Louis‐Marie Charbonnier (10 shared papers)Cédric Blanpain (1 shared paper)Younès Achouri (1 shared paper)Panagiota A. Sotiropoulou (1 shared paper)Philippe H. Lemaitre (8 shared papers)Gaëlle Lapouge (1 shared paper)Khalil Kass Youssef (1 shared paper)
- Journals
- PLoS ONE (3 papers)American Journal of Transplantation (3 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)JCI Insight (1 paper)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Benoît Vokaer
19 papers receiving 732 citations
Peers
Comparison fields: 5 of 76
- Immunology 325
- Transplantation 38
- Urology 54
- Dermatology 67
- Oncology 170
Countries citing papers authored by Benoît Vokaer
This map shows the geographic impact of Benoît Vokaer'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 Benoît Vokaer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Vokaer more than expected).
Fields of papers citing papers by Benoît Vokaer
This network shows the impact of papers produced by Benoît Vokaer. 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 Benoît Vokaer. The network helps show where Benoît Vokaer may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Vokaer, 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 | 2011 | 246 | |
| 2 | 2009 | 131 | |
| 3 | 2020 | 73 | |
| 4 | 2012 | 62 | |
| 5 | 2010 | 54 | |
| 6 | 2013 | 35 | |
| 7 | 2008 | 34 | |
| 8 | 2009 | 26 | |
| 9 | 2013 | 18 | |
| 10 | 2008 | 13 | |
| 11 | 2013 | 12 | |
| 12 | 2012 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2009 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Benoît Vokaer
Benoît Vokaer is a scholar working on Immunology, Epidemiology, Neurology, Dermatology and Oncology, having authored 20 papers that have together received 744 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Polyomavirus and related diseases (2 papers), Immune cells in cancer (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). The work is most often cited by research in Immunology (325 citations), Transplantation (38 citations), Urology (54 citations), Dermatology (67 citations) and Oncology (170 citations). Benoît Vokaer has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Alaín Le Moine, Louis‐Marie Charbonnier, Cédric Blanpain, Younès Achouri, Panagiota A. Sotiropoulou, Philippe H. Lemaitre, Gaëlle Lapouge, Khalil Kass Youssef, Michel Goldman and Kenneth A. Field. Their work appears in journals such as PLoS ONE, American Journal of Transplantation, Frontiers in Immunology, The Journal of Immunology and JCI Insight.
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.