Zhen Wah Tan

503 total citations
14 papers, 371 citations indexed

About

Zhen Wah Tan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Zhen Wah Tan has authored 14 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Zhen Wah Tan's work include Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers) and Computational Drug Discovery Methods (7 papers). Zhen Wah Tan is often cited by papers focused on Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers) and Computational Drug Discovery Methods (7 papers). Zhen Wah Tan collaborates with scholars based in Singapore, Australia and China. Zhen Wah Tan's co-authors include Igor N. Berezovsky, Enrico Guarnera, Wei-Ven Tee, Peter J. Bond, Firdaus Samsudin, Xu‐Hua Nong, Jingwen Wang and Guang‐Ying Chen and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Zhen Wah Tan

14 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Wah Tan Singapore 10 305 149 36 29 26 14 371
Apurba Bhattarai United States 11 462 1.5× 157 1.1× 26 0.7× 80 2.8× 19 0.7× 16 590
Yuran Qiu China 9 418 1.4× 148 1.0× 35 1.0× 47 1.6× 13 0.5× 14 505
Alberto Cuzzolin Italy 13 366 1.2× 198 1.3× 23 0.6× 42 1.4× 24 0.9× 20 461
Juan Pablo Arcon Argentina 10 329 1.1× 106 0.7× 23 0.6× 52 1.8× 20 0.8× 15 407
Miho Mizutani Japan 9 194 0.6× 164 1.1× 39 1.1× 39 1.3× 28 1.1× 21 409
Trung Ngoc Nguyen Germany 8 224 0.7× 117 0.8× 16 0.4× 23 0.8× 21 0.8× 18 359
Tomas Åkerud Sweden 9 273 0.9× 66 0.4× 51 1.4× 41 1.4× 7 0.3× 11 376
Linkai Mou China 6 269 0.9× 134 0.9× 10 0.3× 23 0.8× 9 0.3× 11 309
Ken Borrelli United States 4 228 0.7× 132 0.9× 18 0.5× 32 1.1× 9 0.3× 5 284
Ji Young Lee United States 11 375 1.2× 86 0.6× 26 0.7× 43 1.5× 32 1.2× 22 499

Countries citing papers authored by Zhen Wah Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Wah Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen Wah Tan. 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 Zhen Wah Tan. The network helps show where Zhen Wah Tan may publish in the future.

Co-authorship network of co-authors of Zhen Wah Tan

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

All Works

14 of 14 papers shown
1.
Tan, Zhen Wah, et al.. (2024). Living in trinity of extremes: Genomic and proteomic signatures of halophilic, thermophilic, and pH adaptation. SHILAP Revista de lepidopterología. 7. 100129–100129. 9 indexed citations
2.
Tan, Zhen Wah, et al.. (2023). Disrupted chromatin architecture in olfactory sensory neurons: looking for the link from COVID-19 infection to anosmia. Scientific Reports. 13(1). 5906–5906. 2 indexed citations
3.
Wang, Jingwen, et al.. (2023). Drimane-type sesquiterpenoids and their anti-inflammatory evaluation from Pyrrhoderma noxium HNNU0524. Natural Product Research. 38(10). 1711–1718. 4 indexed citations
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Guarnera, Enrico, Zhen Wah Tan, & Igor N. Berezovsky. (2021). Three-dimensional chromatin ensemble reconstruction via stochastic embedding. Structure. 29(6). 622–634.e3. 3 indexed citations
10.
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
11.
Tan, Zhen Wah, Enrico Guarnera, Wei-Ven Tee, & Igor N. Berezovsky. (2020). AlloSigMA 2: paving the way to designing allosteric effectors and to exploring allosteric effects of mutations. Nucleic Acids Research. 48(W1). W116–W124. 66 indexed citations
12.
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
13.
Tan, Zhen Wah, Enrico Guarnera, & Igor N. Berezovsky. (2018). Exploring chromatin hierarchical organization via Markov State Modelling. PLoS Computational Biology. 14(12). e1006686–e1006686. 9 indexed citations
14.
Guarnera, Enrico, et al.. (2017). AlloSigMA: allosteric signaling and mutation analysis server. Bioinformatics. 33(24). 3996–3998. 102 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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