Luc Roumen

941 citations
21 papers · 736 · h-index 16

Impact in

Papers in

Luc Roumen

21 papers receiving 709 citations

Peers

Luc Roumen
Comparison fields: 5 of 73
  • Computational Theory and Mathematics 185
  • Oncology 239
  • Immunology 165
  • Radiology, Nuclear Medicine and Imaging 167
  • Pharmacology 59
Replace Chi Shing Sum with:
Chi Shing Sum United States
Lihu Yang United States
Gavin C. Hirst United States
Carolyn A. Weigelt United States
Richard A. Nugent United States
Paul Shapiro United States
Ralf Schumacher Germany
Shou-Hua Xiao United States
Kyungbo Kim United States
Wilhelmus E. A. de Witte Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Luc Roumen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Luc Roumen Line = papers co-authored together Luc Roumen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
2 201176
3 200752
4 200747
5 201146
6 201343
7 201142
8 201034
9 201226
10 201526
11 201123
12 201222
13 201320
14 200719
15 201218
16 201116
17 201811
18 20126
19 20126
20 20112

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 736 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Receptor Mechanisms and Signaling (10 papers), Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (6 papers), Chemokine receptors and signaling (6 papers), Hormonal Regulation and Hypertension (4 papers), Steroid Chemistry and Biochemistry (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (185 citations), Oncology (239 citations), Immunology (165 citations), Radiology, Nuclear Medicine and Imaging (167 citations) and Pharmacology (59 citations). Luc Roumen has collaborated with scholars based in Netherlands, China and Germany. 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, European Journal of Medicinal Chemistry and Journal of the American Chemical Society.

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.

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