Tjerk Bueters

55 total papers · 1.6k total citations
40 papers, 1.0k citations indexed

About

Tjerk Bueters is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Tjerk Bueters has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Pharmacology. Recurrent topics in Tjerk Bueters's work include Pharmacogenetics and Drug Metabolism (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Computational Drug Discovery Methods (8 papers). Tjerk Bueters is often cited by papers focused on Pharmacogenetics and Drug Metabolism (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Computational Drug Discovery Methods (8 papers). Tjerk Bueters collaborates with scholars based in Sweden, United States and United Kingdom. Tjerk Bueters's co-authors include Mia von Euler, Olof Bendel, Gabriel von Euler, Johan Sandin, Sandra A. G. Visser, Sven Ove Ögren, Henk P.M. Vijverberg, Bart A. Ploeger, Chantal Smulders and Regina G.D.M. van Kleef and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Journal of Medicinal Chemistry.

In The Last Decade

Tjerk Bueters

39 papers receiving 978 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tjerk Bueters 282 269 202 167 157 40 1.0k
Shinghung Mak 457 1.6× 208 0.8× 265 1.3× 167 1.0× 331 2.1× 50 1.2k
Fanny C.F. Ip 493 1.7× 249 0.9× 235 1.2× 90 0.5× 139 0.9× 39 1.1k
Shengquan Hu 383 1.4× 174 0.6× 306 1.5× 136 0.8× 308 2.0× 40 999
Cleide Dos Santos Souza 525 1.9× 154 0.6× 137 0.7× 195 1.2× 129 0.8× 48 1.1k
Tatsuhiro Akaishi 314 1.1× 229 0.9× 346 1.7× 163 1.0× 277 1.8× 26 1.0k
Cristina Grossi 378 1.3× 168 0.6× 491 2.4× 163 1.0× 135 0.9× 17 1.1k
Francisco J. Carvajal 362 1.3× 165 0.6× 348 1.7× 114 0.7× 235 1.5× 19 871
Hantamalala Ralay Ranaivo 384 1.4× 187 0.7× 349 1.7× 399 2.4× 96 0.6× 40 1.2k
Hsueh‐Meei Huang 547 1.9× 316 1.2× 387 1.9× 129 0.8× 153 1.0× 43 1.2k
Varsha Shukla 417 1.5× 206 0.8× 288 1.4× 124 0.7× 84 0.5× 31 1.1k

Countries citing papers authored by Tjerk Bueters

Since Specialization
Citations

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

Fields of papers citing papers by Tjerk Bueters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tjerk Bueters

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

All Works

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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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2026