Marc Elsen
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 15
- SARS-CoV-2 detection and testing 10
- COVID-19 Clinical Research Studies 9
- Viral gastroenteritis research and epidemiology 1
- Modeling and Simulation top 5%
- Health top 10%
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 2
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- Biosensors and Analytical Detection 2
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- Monoclonal and Polyclonal Antibodies Research 2
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- Xenotransplantation and immune response 2
- Co-authors
- Jonathan DouxfilsChristine EucherJulien FavresseJean‐Michel DognéSandrine Van EeckhoudtConstant GillotGrégoire WieërsTatiana Roy
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Journal of Medical Virology (3 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Marc Elsen
20 papers receiving 549 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 481
- Modeling and Simulation 46
- Health 63
- Animal Science and Zoology 62
- Transplantation 8
Countries citing papers authored by Marc Elsen
This map shows the geographic impact of Marc Elsen'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 Marc Elsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Elsen more than expected).
Fields of papers citing papers by Marc Elsen
This network shows the impact of papers produced by Marc Elsen. 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 Marc Elsen. The network helps show where Marc Elsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Elsen, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 37 | |
| 9 | 2021 | 63 | |
| 10 | 2021 | 85 | |
| 11 | 2021 | 113 | |
| 12 | 2021 | 59 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 27 | |
| 17 | 2019 | 9 | |
| 18 | 1993 | 34 | |
| 19 | Role of activated natural killer and CD4+, CD8+ cells in the cellular rejection of a discordant xenograft. | 1993 | 11 |
| 20 | Isotype characterization of rat preformed natural antibodies against guinea pig cells. | 1992 | 4 |
About Marc Elsen
Marc Elsen is a scholar working on Infectious Diseases, Animal Science and Zoology and Ceramics and Composites, having authored 21 papers that have together received 558 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), SARS-CoV-2 detection and testing (10 papers), COVID-19 Clinical Research Studies (9 papers), Biosensors and Analytical Detection (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Xenotransplantation and immune response (2 papers), Animal Virus Infections Studies (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (481 citations), Modeling and Simulation (46 citations) and Health (63 citations). Marc Elsen has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Jonathan Douxfils, Christine Eucher, Julien Favresse, Jean‐Michel Dogné, Sandrine Van Eeckhoudt, Constant Gillot, Grégoire Wieërs, Tatiana Roy, François Mullier and Jean‐Louis Bayart. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Medical Virology, Journal of Clinical Medicine, Viruses and Clinical 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.