Wei-Ven Tee

782 total citations
21 papers, 616 citations indexed

About

Wei-Ven Tee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Wei-Ven Tee has authored 21 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 3 papers in Oncology. Recurrent topics in Wei-Ven Tee's work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (11 papers) and RNA and protein synthesis mechanisms (7 papers). Wei-Ven Tee is often cited by papers focused on Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (11 papers) and RNA and protein synthesis mechanisms (7 papers). Wei-Ven Tee collaborates with scholars based in Singapore, Malaysia and India. Wei-Ven Tee's co-authors include Igor N. Berezovsky, Enrico Guarnera, Zhen Wah Tan, Saharuddin Bin Mohamad, Md. Zahirul Kabır, Saad Tayyab, Zazali Alias, Shevin Rizal Feroz, Firdaus Samsudin and Peter J. Bond and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Wei-Ven Tee

20 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei-Ven Tee Singapore 15 533 211 100 60 55 21 616
Violeta I. Pérez‐Nueno France 15 384 0.7× 400 1.9× 96 1.0× 90 1.5× 78 1.4× 25 586
Jean‐Yves Trosset United States 15 589 1.1× 269 1.3× 107 1.1× 72 1.2× 104 1.9× 24 803
Anna Berteotti Italy 11 556 1.0× 128 0.6× 150 1.5× 41 0.7× 100 1.8× 13 808
Hugo Guterres United States 10 433 0.8× 159 0.8× 52 0.5× 21 0.3× 92 1.7× 14 571
Oleg V. Stroganov Russia 12 316 0.6× 173 0.8× 83 0.8× 32 0.5× 73 1.3× 40 652
Chaya Duraiswami United States 11 534 1.0× 296 1.4× 63 0.6× 24 0.4× 75 1.4× 14 816
Steffen Lang Germany 13 478 0.9× 107 0.5× 147 1.5× 34 0.6× 47 0.9× 19 667
Patricia Soulard United States 8 607 1.1× 341 1.6× 50 0.5× 29 0.5× 56 1.0× 12 790
Alessandro Padova Italy 13 335 0.6× 179 0.8× 63 0.6× 27 0.5× 62 1.1× 22 529
Brandon S. Zerbe United States 9 488 0.9× 203 1.0× 47 0.5× 35 0.6× 129 2.3× 12 610

Countries citing papers authored by Wei-Ven Tee

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Ven Tee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Ven Tee. 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 Wei-Ven Tee. The network helps show where Wei-Ven Tee may publish in the future.

Co-authorship network of co-authors of Wei-Ven Tee

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Ven Tee. A scholar is included among the top collaborators of Wei-Ven Tee 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 Wei-Ven Tee. Wei-Ven Tee 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
1.
Tee, Wei-Ven & Igor N. Berezovsky. (2025). Allosteric solution to the problems of undruggable targets, drug toxicity, and emerging resistance. Current Opinion in Structural Biology. 95. 103172–103172.
2.
Tee, Wei-Ven, et al.. (2025). Designing Structure-specific and Switchable Allosteric Effectors for GPCRs Based on the Causality and Energetics of Inherent Signaling. Journal of Molecular Biology. 437(20). 169293–169293. 2 indexed citations
3.
Tee, Wei-Ven, et al.. (2025). Sequence and Structure at Play in Designing Allosteric Drugs and Alleviating the Drug Resistance. Journal of Molecular Biology. 437(20). 169206–169206. 3 indexed citations
4.
Tee, Wei-Ven & Igor N. Berezovsky. (2024). Allosteric drugs: New principles and design approaches. Current Opinion in Structural Biology. 84. 102758–102758. 25 indexed citations
5.
Tee, Wei-Ven, et al.. (2024). Toward the Design of Allosteric Effectors: Gaining Comprehensive Control of Drug Properties and Actions. Journal of Medicinal Chemistry. 67(19). 17191–17206. 14 indexed citations
6.
Tan, Zhen Wah, Wei-Ven Tee, Firdaus Samsudin, et al.. (2022). Allosteric perspective on the mutability and druggability of the SARS-CoV-2 Spike protein. Structure. 30(4). 590–607.e4. 27 indexed citations
7.
Tan, Zhen Wah, Wei-Ven Tee, & Igor N. Berezovsky. (2022). Learning About Allosteric Drugs and Ways to Design Them. Journal of Molecular Biology. 434(17). 167692–167692. 23 indexed citations
8.
Tee, Wei-Ven, Zhen Wah Tan, Enrico Guarnera, & Igor N. Berezovsky. (2022). Conservation and Diversity in Allosteric Fingerprints of Proteins for Evolutionary-inspired Engineering and Design. Journal of Molecular Biology. 434(17). 167577–167577. 18 indexed citations
9.
Tan, Zhen Wah, Wei-Ven Tee, Enrico Guarnera, & Igor N. Berezovsky. (2022). AlloMAPS 2: allosteric fingerprints of the AlphaFold and Pfam-trRosetta predicted structures for engineering and design. Nucleic Acids Research. 51(D1). D345–D351. 19 indexed citations
10.
Tee, Wei-Ven, et al.. (2021). Exploring the Allosteric Territory of Protein Function. The Journal of Physical Chemistry B. 125(15). 3763–3780. 34 indexed citations
11.
Tee, Wei-Ven, et al.. (2020). Synergistic Allostery in Multiligand-Protein Interactions. Biophysical Journal. 119(9). 1833–1848. 29 indexed citations
12.
Tee, Wei-Ven, Enrico Guarnera, Zhen Wah Tan, & Igor N. Berezovsky. (2020). From Inducing Allosteric Signaling to Exploring the Allosteric Effect of SNPS and Allosteric Polymorphism. Biophysical Journal. 118(3). 51a–52a. 1 indexed citations
13.
Tee, Wei-Ven, Enrico Guarnera, & Igor N. Berezovsky. (2020). Disorder driven allosteric control of protein activity. SHILAP Revista de lepidopterología. 2. 191–203. 30 indexed citations
14.
Tee, Wei-Ven, Enrico Guarnera, & Igor N. Berezovsky. (2019). On the Allosteric Effect of nsSNPs and the Emerging Importance of Allosteric Polymorphism. Journal of Molecular Biology. 431(19). 3933–3942. 41 indexed citations
15.
Tee, Wei-Ven, Enrico Guarnera, & Igor N. Berezovsky. (2018). Reversing allosteric communication: From detecting allosteric sites to inducing and tuning targeted allosteric response. PLoS Computational Biology. 14(6). e1006228–e1006228. 71 indexed citations
16.
Tan, Zhen Wah, et al.. (2018). AlloMAPS: allosteric mutation analysis and polymorphism of signaling database. Nucleic Acids Research. 47(D1). D265–D270. 54 indexed citations
17.
Kabır, Md. Zahirul, Wei-Ven Tee, Saharuddin Bin Mohamad, Zazali Alias, & Saad Tayyab. (2017). Comprehensive insight into the binding of sunitinib, a multi-targeted anticancer drug to human serum albumin. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 181. 254–263. 26 indexed citations
18.
Tee, Wei-Ven, Adiratna Mat Ripen, & Saharuddin Bin Mohamad. (2016). The conformational dynamics of H2-H3n and S2-H6 in gating ligand entry into the buried binding cavity of vitamin D receptor. Scientific Reports. 6(1). 35937–35937. 3 indexed citations
19.
Tayyab, Saad, Md. Zahirul Kabır, Shevin Rizal Feroz, et al.. (2016). Binding of an anticancer drug, axitinib to human serum albumin: Fluorescence quenching and molecular docking study. Journal of Photochemistry and Photobiology B Biology. 162. 386–394. 81 indexed citations
20.
Kabır, Md. Zahirul, Wei-Ven Tee, Saharuddin Bin Mohamad, Zazali Alias, & Saad Tayyab. (2016). Interaction of an anticancer drug, gefitinib with human serum albumin: insights from fluorescence spectroscopy and computational modeling analysis. RSC Advances. 6(94). 91756–91767. 49 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Violeta I. Pérez‐Nueno Breakdown of academic impact, for papers by Jean‐Yves Trosset Breakdown of academic impact, for papers by Anna Berteotti Breakdown of academic impact, for papers by Hugo Guterres Breakdown of academic impact, for papers by Oleg V. Stroganov Breakdown of academic impact, for papers by Chaya Duraiswami Breakdown of academic impact, for papers by Steffen Lang Breakdown of academic impact, for papers by Patricia Soulard Breakdown of academic impact, for papers by Alessandro Padova Breakdown of academic impact, for papers by Brandon S. Zerbe
Rankless by CCL
2026