Sander B. Nabuurs

5.4k citations
45 papers · 4.0k indexed · 2 hit papers · h-index 28

Sander B. Nabuurs

45 papers receiving 3.9k citations

Hit Papers

Making optimal use of empirical energy functions: Force‐f...200420262011201820042011200400600

Peers

Sander B. Nabuurs
Comparison fields: 5 of 137
  • Molecular Biology 2.8k
  • Computational Theory and Mathematics 635
  • Materials Chemistry 555
  • Cancer Research 363
  • Immunology 323
Replace Roland Lüthy with:
Roland Lüthy United States
Masashi Miyano Japan
Takatsugu Hirokawa Japan
Suwen Zhao China
Benjamin P. Tu United States
J. B. C. Findlay United Kingdom
Colin McMartin United Kingdom
Karel Berka Czechia
Robert R. Rando United States
Adrián G. Turjanski Argentina
Sander B. Nabuurs relative to Roland Lüthy United States Roland Lüthy's profile →
Citations per field
00.5×3.0×
Roland Lüthy · 1×
Citations per year

Countries citing papers authored by Sander B. Nabuurs

Since Specialization
Citations

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

Fields of papers citing papers by Sander B. Nabuurs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander B. Nabuurs. 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 Sander B. Nabuurs. The network helps show where Sander B. Nabuurs may publish in the future.

Co-authorship network of co-authors of Sander B. Nabuurs

This figure shows the co-authorship network connecting the top 25 collaborators of Sander B. Nabuurs. A scholar is included among the top collaborators of Sander B. Nabuurs 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 Sander B. Nabuurs. Sander B. Nabuurs 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 42
2 29
3 3
4 38
5 25
6 22
7 14
8 159
9 178
10 9
11 66
12 5
13 196
14 69
15 300
16 10
17 25
18
Making optimal use of empirical energy functions: Force‐field parameterization in crystal spacebreakdown →
748
19 135
20 60

About Sander B. Nabuurs

Sander B. Nabuurs is a scholar working on Computational Theory and Mathematics, Molecular Biology and Sensory Systems, having authored 45 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (9 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (297 citations), Molecular Biology (2.8k citations) and Computational Theory and Mathematics (635 citations). Sander B. Nabuurs has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Gert Vriend, Elmar Krieger, Elena Marchiori, Twan van Laarhoven, Tom Darden, Alexei V. Finkelstein, Geerten W. Vuister, Gert Flik, Chris A. E. M. Spronk and Mark O. Huising. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Bioinformatics.

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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