Marc Van Regenmortel
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Immunology top 5%
- Oncology top 10%
- Biomedical Engineering
- Co-authors
- Daniel BatyPatrick ChamesÉtienne WeissJean‐Luc PellequerShu‐wen W. ChenDavid A. PowerJohn KnightJérôme Rossert
- Topics
- Monoclonal and Polyclonal Antibodies Research (4 papers)vaccines and immunoinformatics approaches (2 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- The Journal of Experimental MedicineInternational Journal of Molecular SciencesKidney International
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Marc Van Regenmortel
9 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 797
- Radiology, Nuclear Medicine and Imaging 704
- Immunology 523
- Oncology 308
- Biomedical Engineering 160
Countries citing papers authored by Marc Van Regenmortel
This map shows the geographic impact of Marc Van Regenmortel'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 Van Regenmortel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Van Regenmortel more than expected).
Fields of papers citing papers by Marc Van Regenmortel
This network shows the impact of papers produced by Marc Van Regenmortel. 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 Van Regenmortel. The network helps show where Marc Van Regenmortel may publish in the future.
Co-authorship network of co-authors of Marc Van Regenmortel
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Van Regenmortel. A scholar is included among the top collaborators of Marc Van Regenmortel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Van Regenmortel. Marc Van Regenmortel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | Therapeutic antibodies: successes, limitations and hopes for the futurebreakdown → | 1065 |
| 3 | 53 | |
| 4 | 149 | |
| 5 | 181 | |
| 6 | 29 | |
| 7 | 31 | |
| 8 | 15 | |
| 9 | 2 |
About Marc Van Regenmortel
Marc Van Regenmortel is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), vaccines and immunoinformatics approaches (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (704 citations), Immunology (523 citations) and Molecular Biology (797 citations). Marc Van Regenmortel has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Daniel Baty, Patrick Chames, Étienne Weiss, Jean‐Luc Pellequer, Shu‐wen W. Chen, David A. Power, John Knight, Jérôme Rossert, Scott Stryker and Nicole Casadevall. Their work appears in journals such as The Journal of Experimental Medicine, International Journal of Molecular Sciences and Kidney International.
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.