Luc Roumen
Impact in
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- Computational Drug Discovery Methods
- Oncology top 10%
- Chemokine receptors and signaling
Papers in
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- Receptor Mechanisms and Signaling 10
- Chemical Synthesis and Analysis 6
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Chris de Graaf (15 shared papers)Rob Leurs (14 shared papers)Iwan J. P. de Esch (12 shared papers)Danny J. Scholten (4 shared papers)Martine J. Smit (5 shared papers)Maikel Wijtmans (5 shared papers)Meritxell Canals (3 shared papers)Marijn P. A. Sanders (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Molecular Pharmacology (2 papers)MedChemComm (2 papers)The Journal of Organic Chemistry (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- NetherlandsChinaUnited States
In The Last Decade
Luc Roumen
21 papers receiving 765 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 190
- Oncology 255
- Immunology 168
- Radiology, Nuclear Medicine and Imaging 169
- Molecular Biology 494
Countries citing papers authored by Luc Roumen
This map shows the geographic impact of Luc Roumen'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 Luc Roumen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Roumen more than expected).
Fields of papers citing papers by Luc Roumen
This network shows the impact of papers produced by Luc Roumen. 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 Luc Roumen. The network helps show where Luc Roumen may publish in the future.
Co-authors
The 25 scholars most cited alongside Luc Roumen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 213 | |
| 2 | 2011 | 84 | |
| 3 | 2007 | 54 | |
| 4 | 2007 | 51 | |
| 5 | 2011 | 49 | |
| 6 | 2013 | 48 | |
| 7 | 2011 | 47 | |
| 8 | 2010 | 37 | |
| 9 | 2015 | 30 | |
| 10 | 2012 | 27 | |
| 11 | 2011 | 26 | |
| 12 | 2012 | 23 | |
| 13 | 2013 | 22 | |
| 14 | 2007 | 20 | |
| 15 | 2012 | 20 | |
| 16 | 2011 | 18 | |
| 17 | 2018 | 11 | |
| 18 | 2012 | 6 | |
| 19 | 2012 | 6 | |
| 20 | 2011 | 2 |
About Luc Roumen
Luc Roumen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Computational Theory and Mathematics and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 795 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Chemokine receptors and signaling (6 papers), Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (6 papers), Hormonal Regulation and Hypertension (4 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Computational Theory and Mathematics (190 citations), Oncology (255 citations), Immunology (168 citations), Radiology, Nuclear Medicine and Imaging (169 citations) and Molecular Biology (494 citations). Luc Roumen has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Chris de Graaf, Rob Leurs, Iwan J. P. de Esch, Danny J. Scholten, Martine J. Smit, Maikel Wijtmans, Meritxell Canals, Marijn P. A. Sanders, David Maussang and Jacob de Vlieg. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Pharmacology, MedChemComm, The Journal of Organic Chemistry and Journal of Computational 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.