Luc Roumen

21 papers receiving 765 citations

Peers

Luc Roumen
Comparison fields: 5 of 72
  • Computational Theory and Mathematics 190
  • Oncology 255
  • Immunology 168
  • Radiology, Nuclear Medicine and Imaging 169
  • Molecular Biology 494
Replace Maria Candida Cesta with:
Maria Candida Cesta Italy
E. Thoreau France
Gavin C. Hirst United States
Carolyn A. Weigelt United States
Patricia Soulard United States
Sukjoon Yoon South Korea
Tímea Polgár Hungary
Ian L. Dale United Kingdom
Richard A. Nugent United States
Shou-Hua Xiao United States
Luc Roumen relative to Maria Candida Cesta Italy Maria Candida Cesta's profile →
Citations per field
00.5×4.8×
Maria Candida Cesta · 1×
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 2011213
2 201184
3 200754
4 200751
5 201149
6 201348
7 201147
8 201037
9 201530
10 201227
11 201126
12 201223
13 201322
14 200720
15 201220
16 201118
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 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.

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