Zhen Wah Tan

503 citations
14 papers · 371 indexed · h-index 10
Topics
Protein Structure and Dynamics (8 papers)RNA and protein synthesis mechanisms (8 papers)Computational Drug Discovery Methods (7 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
SingaporeAustraliaChina

In The Last Decade

Zhen Wah Tan

14 papers receiving 369 citations

Peers

Zhen Wah Tan
Comparison fields: 5 of 56
  • Molecular Biology 305
  • Computational Theory and Mathematics 149
  • Radiology, Nuclear Medicine and Imaging 36
  • Materials Chemistry 29
  • Infectious Diseases 26
Replace Wei-Ven Tee with:
Wei-Ven Tee Singapore
Miho Mizutani Japan
Phani Ghanakota United States
Sameh Eid Egypt
Trung Ngoc Nguyen Germany
Stéphane De Cesco Canada
Gerd Neudert Germany
Palani Kirubakaran India
Michael Smolinski United States
T.J. Rettenmaier United States
Zhen Wah Tan relative to Wei-Ven Tee Singapore Wei-Ven Tee's profile →
Citations per field
00.5×1.5×
Wei-Ven Tee · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 2
3 4
4 27
5 23
6 18
7 19
8 3
9 34
10 1
11 66
12 9
13 54
14 102

About Zhen Wah Tan

Zhen Wah Tan is a scholar working on Computational Theory and Mathematics, Sensory Systems and Molecular Biology, having authored 14 papers that have together received 371 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Molecular Biology (305 citations) and Toxicology (8 citations). Zhen Wah Tan has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Igor N. Berezovsky, Enrico Guarnera, Wei-Ven Tee, Firdaus Samsudin, Peter J. Bond, Guang‐Ying Chen, Xu‐Hua Nong and Jingwen Wang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología 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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