Ruud van Deursen

2.8k citations
22 papers · 1.9k indexed · 1 hit paper · h-index 18
Topics
Computational Drug Discovery Methods (19 papers)Analytical Chemistry and Chromatography (6 papers)Synthesis and biological activity (3 papers)

In The Last Decade

Ruud van Deursen

21 papers receiving 1.8k citations

Hit Papers

Enumeration of 166 Billion Organic Small Molecules in the...20122026201620212012250500750

Peers

Ruud van Deursen
Comparison fields: 5 of 120
  • Computational Theory and Mathematics 1.2k
  • Molecular Biology 894
  • Materials Chemistry 791
  • Organic Chemistry 256
  • Spectroscopy 226
Replace Lars Ruddigkeit with:
Lars Ruddigkeit Switzerland
Lorenz C. Blum Switzerland
Martin Vogt Germany
Burton A. Leland United States
Gary Tresadern Belgium
Joseph L. Durant United States
Angel Guzmán-Pérez United States
James G. Nourse United States
Karl Leswing United States
Peter Gedeck Switzerland
Ruud van Deursen relative to Lars Ruddigkeit Switzerland Lars Ruddigkeit's profile →
Citations per field
00.5×1.7×
Lars Ruddigkeit · 1×
Citations per year

Countries citing papers authored by Ruud van Deursen

Since Specialization
Citations

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

Fields of papers citing papers by Ruud van Deursen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruud van Deursen. 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 Ruud van Deursen. The network helps show where Ruud van Deursen may publish in the future.

Co-authorship network of co-authors of Ruud van Deursen

This figure shows the co-authorship network connecting the top 25 collaborators of Ruud van Deursen. A scholar is included among the top collaborators of Ruud van Deursen 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 Ruud van Deursen. Ruud van Deursen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 18
2 29
3 5
4 0
5 50
6 55
7 99
8
Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17breakdown →
947
9 24
10 47
11 7
12 27
13 24
14 42
15 23
16 245
17 81
18 49
19 24
20 33

About Ruud van Deursen

Ruud van Deursen is a scholar working on Computational Theory and Mathematics, Toxicology and Spectroscopy, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Analytical Chemistry and Chromatography (6 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Materials Chemistry (791 citations) and Physical and Theoretical Chemistry (145 citations). Ruud van Deursen has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Jean‐Louis Reymond, Lorenz C. Blum, Lars Ruddigkeit, Kong T. Nguyen, Mahendra Awale, Igor V. Tetko, Guillaume Godin, Wolfgang Kroutil, Wolfgang Stampfer and Kurt Faber. Their work appears in journals such as Angewandte Chemie International Edition, Biochemistry and Tetrahedron.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026