Thijs Beuming

6.7k total citations · 1 hit paper
47 papers, 3.9k citations indexed

About

Thijs Beuming is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Thijs Beuming has authored 47 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 11 papers in Computational Theory and Mathematics. Recurrent topics in Thijs Beuming's work include Receptor Mechanisms and Signaling (27 papers), Protein Structure and Dynamics (16 papers) and Computational Drug Discovery Methods (11 papers). Thijs Beuming is often cited by papers focused on Receptor Mechanisms and Signaling (27 papers), Protein Structure and Dynamics (16 papers) and Computational Drug Discovery Methods (11 papers). Thijs Beuming collaborates with scholars based in United States, Netherlands and Denmark. Thijs Beuming's co-authors include Woody Sherman, Ivan Tubert‐Brohman, Harel Weinstein, Lei Shi, Jonathan A. Javitch, Amy Hauck Newman, Ulrik Gether, Masha Y. Niv, Claus J. Løland and Prashant Donthamsetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Thijs Beuming

47 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved Docking of Polypeptides with Glide

2013 1.0k citations Woody Sherman, Thijs Beuming et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thijs Beuming United States	30	2.5k	1.1k	738	325	239	47	3.9k
Ming‐Wei Wang China	41	3.5k 1.4×	1.3k 1.3×	522 0.7×	162 0.5×	457 1.9×	313	6.5k
Xin Chen China	33	2.6k 1.1×	617 0.6×	249 0.3×	322 1.0×	412 1.7×	149	4.4k
Yunxia Wang China	47	3.0k 1.2×	407 0.4×	523 0.7×	115 0.4×	218 0.9×	268	7.9k
Judith Klein‐Seetharaman United States	46	4.6k 1.8×	1.1k 1.0×	448 0.6×	1.1k 3.5×	98 0.4×	174	6.7k
Richard A. Lewis United States	38	2.4k 1.0×	353 0.3×	1.3k 1.8×	604 1.9×	910 3.8×	99	4.7k
Jianing Li China	32	2.3k 0.9×	310 0.3×	424 0.6×	476 1.5×	1.1k 4.7×	204	4.8k
Tim Green United Kingdom	15	1.9k 0.7×	281 0.3×	431 0.6×	656 2.0×	80 0.3×	18	3.3k
Vladimir B. Bajić Saudi Arabia	57	7.1k 2.9×	294 0.3×	875 1.2×	284 0.9×	207 0.9×	278	11.7k
James E. Hall United States	42	5.2k 2.1×	794 0.7×	177 0.2×	374 1.2×	219 0.9×	125	7.6k
Michael Fernández Cuba	37	2.7k 1.1×	329 0.3×	1.3k 1.8×	1.2k 3.7×	574 2.4×	123	5.4k

Countries citing papers authored by Thijs Beuming

Since Specialization

Citations

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

Fields of papers citing papers by Thijs Beuming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thijs Beuming

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

All Works

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20 of 20 papers shown

Cournia, Zoe, Bryce K. Allen, Thijs Beuming, et al.. (2020). Rigorous Free Energy Simulations in Virtual Screening. Journal of Chemical Information and Modeling. 60(9). 4153–4169. 125 indexed citations

McRobb, Fiona M., Ana Negri, Thijs Beuming, & Woody Sherman. (2016). Molecular dynamics techniques for modeling G protein-coupled receptors. Current Opinion in Pharmacology. 30. 69–75. 24 indexed citations

Lenselink, Eelke B., Thijs Beuming, Arnault Massink, et al.. (2016). In search of novel ligands using a structure-based approach: a case study on the adenosine A2A receptor. Journal of Computer-Aided Molecular Design. 30(10). 863–874. 18 indexed citations

Beuming, Thijs, et al.. (2015). Docking and Virtual Screening Strategies for GPCR Drug Discovery. Methods in molecular biology. 1335. 251–276. 17 indexed citations

Michino, Mayako, Thijs Beuming, Prashant Donthamsetti, et al.. (2014). What Can Crystal Structures of Aminergic Receptors Tell Us about Designing Subtype-Selective Ligands?. Pharmacological Reviews. 67(1). 198–213. 92 indexed citations

Dehnes, Yvette, Jufang Shan, Thijs Beuming, et al.. (2014). Conformational changes in dopamine transporter intracellular regions upon cocaine binding and dopamine translocation. Neurochemistry International. 73. 4–15. 11 indexed citations

Michino, Mayako, Prashant Donthamsetti, Thijs Beuming, et al.. (2013). A Single Glycine in Extracellular Loop 1 Is the Critical Determinant for Pharmacological Specificity of Dopamine D2 and D3 Receptors. Molecular Pharmacology. 84(6). 854–864. 56 indexed citations

Plenge, Per, Lei Shi, Thijs Beuming, et al.. (2012). Steric Hindrance Mutagenesis in the Conserved Extracellular Vestibule Impedes Allosteric Binding of Antidepressants to the Serotonin Transporter. Journal of Biological Chemistry. 287(47). 39316–39326. 76 indexed citations

Goldfeld, Dahlia A., Kai Zhu, Thijs Beuming, & Richard A. Friesner. (2012). Loop prediction for a GPCR homology model: Algorithms and results. Proteins Structure Function and Bioinformatics. 81(2). 214–228. 23 indexed citations

10.

Goldfeld, Dahlia A., Kai Zhu, Thijs Beuming, & Richard A. Friesner. (2011). Successful prediction of the intra- and extracellular loops of four G-protein-coupled receptors. Proceedings of the National Academy of Sciences. 108(20). 8275–8280. 58 indexed citations

11.

Beuming, Thijs, Amy Hauck Newman, Harel Weinstein, et al.. (2010). The binding sites for benztropines and dopamine in the dopamine transporter overlap. Neuropharmacology. 60(1). 182–190. 55 indexed citations

12.

Thorsen, Thor S., Kenneth L. Madsen, Nelson Rebola, et al.. (2009). Identification of a small-molecule inhibitor of the PICK1 PDZ domain that inhibits hippocampal LTP and LTD. Proceedings of the National Academy of Sciences. 107(1). 413–418. 89 indexed citations

13.

Beuming, Thijs, Ramy Farid, & Woody Sherman. (2009). High‐energy water sites determine peptide binding affinity and specificity of PDZ domains. Protein Science. 18(8). 1609–1619. 100 indexed citations

14.

Beuming, Thijs, Lei Shi, Jonathan A. Javitch, & Harel Weinstein. (2006). A Comprehensive Structure-Based Alignment of Prokaryotic and Eukaryotic Neurotransmitter/Na+ Symporters (NSS) Aids in the Use of the LeuT Structure to Probe NSS Structure and Function. Molecular Pharmacology. 70(5). 1630–1642. 227 indexed citations

15.

Madsen, Kenneth L., Thijs Beuming, Masha Y. Niv, et al.. (2005). Molecular Determinants for the Complex Binding Specificity of the PDZ Domain in PICK1. Journal of Biological Chemistry. 280(21). 20539–20548. 64 indexed citations

16.

Beuming, Thijs & Harel Weinstein. (2004). Development and application of a knowledge-based scale for the analysis and prediction of interior facing surfaces in transmembrane protein domains. Biophysical Journal. 86(1). 256. 1 indexed citations

17.

Bakker, Remko A., Antonius ter Laak, Thijs Beuming, et al.. (2004). 8R-Lisuride Is a Potent Stereospecific Histamine H1-Receptor Partial Agonist. Molecular Pharmacology. 65(3). 538–549. 24 indexed citations

18.

Beuming, Thijs, Lucy Skrabanek, Masha Y. Niv, Piali Mukherjee, & Harel Weinstein. (2004). PDZBase: a protein–protein interaction database for PDZ-domains. Bioinformatics. 21(6). 827–828. 155 indexed citations

19.

Beuming, Thijs & Harel Weinstein. (2004). A knowledge-based scale for the analysis and prediction of buried and exposed faces of transmembrane domain proteins. Bioinformatics. 20(12). 1822–1835. 58 indexed citations

20.

Goldberg, Naomi R., Thijs Beuming, Orkun S. Soyer, et al.. (2003). Probing conformational changes in neurotransmitter transporters: a structural context. European Journal of Pharmacology. 479(1-3). 3–12. 35 indexed citations

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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