Hugo Ceulemans

6.5k citations
59 papers · 4.4k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Hugo Ceulemans

56 papers receiving 4.3k citations

Hit Papers

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL 2018 · 352 citations
3522004202620112018100200300400500

Peers

Hugo Ceulemans
Comparison fields: 5 of 145
  • Biophysics 311
  • Computational Theory and Mathematics 789
  • Physiology 224
  • Molecular Biology 3.0k
  • Cell Biology 540
Replace William C. Reinhold with:
William C. Reinhold United States
Krister Wennerberg Finland
Anne‐Claude Gavin Germany
Mario Niepel United States
Cyril H. Benes United States
Andreas Vogt United States
Yiling Lu United States
Ahmet Bakan Türkiye
Lennart Martens Belgium
Hugo Ceulemans relative to William C. Reinhold United States William C. Reinhold's profile →
Citations per field
00.5×3.7×
William C. Reinhold · 1×
Citations per year

Countries citing papers authored by Hugo Ceulemans

Since Specialization
Citations

This map shows the geographic impact of Hugo Ceulemans'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 Hugo Ceulemans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Ceulemans more than expected).

Fields of papers citing papers by Hugo Ceulemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo Ceulemans. 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 Hugo Ceulemans. The network helps show where Hugo Ceulemans may publish in the future.

Co-authors

The 25 scholars most cited alongside Hugo Ceulemans, 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 Hugo Ceulemans Line = papers co-authored together Hugo Ceulemans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 202417
5 20237
6 202029
7 202036
8 201821
9 2018140
10 200871
11 200740
12 200764
13 20068
14 200560
15 200515
16 2003263
17 2003154
18 2002128
19 200264
20 199933

About Hugo Ceulemans

Hugo Ceulemans is a scholar working on Computational Theory and Mathematics, Biophysics, Physiology, Structural Biology and Aging, having authored 59 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (11 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cell Image Analysis Techniques (6 papers), Protein Structure and Dynamics (5 papers), Protein Tyrosine Phosphatases (5 papers), Bioinformatics and Genomic Networks (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Biophysics (311 citations), Computational Theory and Mathematics (789 citations), Physiology (224 citations), Molecular Biology (3.0k citations) and Cell Biology (540 citations). Hugo Ceulemans has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Mathieu Bollen, Willy Stalmans, Rik Gijsbers, Monique Beullens, Patrick Aloy, Robert B. Russell, Jörg K. Wegner, Alexander Stark, Anne E. Carpenter and Marvin Steijaert. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cheminformatics, Scientific Reports, Biochemical Journal and BioEssays.

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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