Tin Wee Tan

3.0k total citations
89 papers, 1.9k citations indexed

About

Tin Wee Tan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Tin Wee Tan has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Epidemiology. Recurrent topics in Tin Wee Tan's work include Genetics, Bioinformatics, and Biomedical Research (27 papers), Genomics and Phylogenetic Studies (25 papers) and vaccines and immunoinformatics approaches (20 papers). Tin Wee Tan is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (27 papers), Genomics and Phylogenetic Studies (25 papers) and vaccines and immunoinformatics approaches (20 papers). Tin Wee Tan collaborates with scholars based in Singapore, Australia and United States. Tin Wee Tan's co-authors include Shoba Ranganathan, Joo Chuan Tong, Vladimir Brusić, J. Thomas August, Olivo Miotto, Asif M. Khan, A. T. Heiny, Lawrence JK Wee, J. Tong and Christine Eng and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Tin Wee Tan

88 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tin Wee Tan Singapore 25 1.3k 414 326 231 220 89 1.9k
Asim Dasgupta United States 28 1.2k 0.9× 339 0.8× 263 0.8× 537 2.3× 114 0.5× 50 2.3k
Zuoshuang Xiang United States 26 1.6k 1.3× 322 0.8× 195 0.6× 316 1.4× 138 0.6× 55 2.1k
James Tamura United States 20 746 0.6× 1.1k 2.6× 523 1.6× 438 1.9× 236 1.1× 39 2.4k
Michael Rasmussen Denmark 20 1.1k 0.9× 157 0.4× 815 2.5× 214 0.9× 348 1.6× 40 1.7k
Ricardo Z. N. Vêncio Brazil 24 1.2k 0.9× 412 1.0× 528 1.6× 334 1.4× 63 0.3× 72 2.5k
Stephen Griffin United Kingdom 29 786 0.6× 1.3k 3.2× 281 0.9× 504 2.2× 198 0.9× 54 2.6k
Martin Closter Jespersen Denmark 9 1.6k 1.3× 259 0.6× 539 1.7× 458 2.0× 548 2.5× 9 2.0k
Soon B. Hwang South Korea 28 970 0.8× 1.4k 3.4× 499 1.5× 289 1.3× 221 1.0× 81 2.9k
Ilka Hoof Denmark 20 1.6k 1.3× 244 0.6× 997 3.1× 196 0.8× 432 2.0× 37 2.4k
Gary Geiss United States 20 1.3k 1.0× 496 1.2× 650 2.0× 232 1.0× 65 0.3× 26 2.6k

Countries citing papers authored by Tin Wee Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tin Wee Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tin Wee Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Tin Wee Tan. A scholar is included among the top collaborators of Tin Wee 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 Tin Wee Tan. Tin Wee Tan 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.
Khan, Asif M., et al.. (2024). A global initiative on addressing bioinformatics’ grand challenges. Briefings in Bioinformatics. 25(4).
2.
Tan, Tin Wee, et al.. (2021). A multi-task CNN learning model for taxonomic assignment of human viruses. BMC Bioinformatics. 22(S6). 194–194. 3 indexed citations
3.
Ng, Christopher, Chun Kiat Lee, Zhaojin Chen, et al.. (2017). CEBPA mutational analysis in acute myeloid leukaemia by a laboratory-developed next-generation sequencing assay. Journal of Clinical Pathology. 71(6). 522–531. 12 indexed citations
4.
Eng, Christine, Joo Chuan Tong, & Tin Wee Tan. (2016). Distinct Host Tropism Protein Signatures to Identify Possible Zoonotic Influenza A Viruses. PLoS ONE. 11(2). e0150173–e0150173. 18 indexed citations
5.
Khan, Asif M., Tin Wee Tan, Christian Schönbach, & Shoba Ranganathan. (2013). APBioNet—Transforming Bioinformatics in the Asia-Pacific Region. PLoS Computational Biology. 9(10). e1003317–e1003317. 6 indexed citations
6.
Ranganathan, Shoba, Sissades Tongsima, Jonathan Chan, Tin Wee Tan, & Christian Schönbach. (2012). Advances in translational bioinformatics and population genomics in the Asia-Pacific. BMC Genomics. 13(S7). S1–S1. 3 indexed citations
7.
Schönbach, Christian, Tin Wee Tan, Janet Kelso, et al.. (2011). InCoB celebrates its tenth anniversary as first joint conference with ISCB-Asia. BMC Genomics. 12(Suppl 3). S1–S1. 7 indexed citations
8.
Schönbach, Christian, Kenta Nakai, Tin Wee Tan, & Shoba Ranganathan. (2010). InCoB2010 - 9th International Conference on Bioinformatics at Tokyo, Japan, September 26-28, 2010. BMC Bioinformatics. 11(S7). S1–S1. 3 indexed citations
9.
10.
Tan, Tin Wee, et al.. (2009). A comprehensive assessment of N-terminal signal peptides prediction methods. BMC Bioinformatics. 10(S15). S2–S2. 51 indexed citations
11.
Tan, Tin Wee, Shen Jean Lim, Asif M. Khan, & Shoba Ranganathan. (2009). A proposed minimum skill set for university graduates to meet the informatics needs and challenges of the "-omics" era. BMC Genomics. 10(Suppl 3). S36–S36. 35 indexed citations
12.
Shamsir, Mohd Shahir, Amir Feisal Merican, Rahmah Mohamed, et al.. (2009). Bioinformatics in Malaysia: Hope, Initiative, Effort, Reality, and Challenges. PLoS Computational Biology. 5(8). e1000457–e1000457. 9 indexed citations
13.
Khan, Asif M., Olivo Miotto, Eduardo J. M. Nascimento, et al.. (2008). Conservation and Variability of Dengue Virus Proteins: Implications for Vaccine Design. PLoS neglected tropical diseases. 2(8). e272–e272. 83 indexed citations
14.
Miotto, Olivo, Tin Wee Tan, & Vladimir Brusić. (2008). Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses. BMC Bioinformatics. 9(S1). S7–S7. 24 indexed citations
15.
Tan, Tin Wee, et al.. (2006). Grid computing in life sciences : LSGRID2005, The 2nd International Life Science Grid Workshop, Biopolis, Singapore, 5-6 May, 2005. WORLD SCIENTIFIC eBooks. 1 indexed citations
16.
Tong, Joo Chuan, Lesheng Kong, Tin Wee Tan, & Shoba Ranganathan. (2006). MPID-T. PubMed. 5(2). 111–114. 18 indexed citations
17.
Wee, Lawrence JK, Tin Wee Tan, & Shoba Ranganathan. (2006). SVM-based prediction of caspase substrate cleavage sites. BMC Bioinformatics. 7(S5). S14–S14. 51 indexed citations
18.
Ranganathan, Shoba, Bernett T. K. Lee, & Tin Wee Tan. (2003). MGAlign, a Reduced Search Space Approach to the Alignment of mRNA Sequences to Genomic Sequences. Proceedings Genome Informatics Workshop/Genome informatics. 14. 474–475. 5 indexed citations
19.
Tan, Tin Wee, et al.. (2002). XdomView: protein domain and exon position visualization. Bioinformatics. 19(1). 159–160. 9 indexed citations
20.
Luo, Jingchu, Christoph W. Sensen, & Tin Wee Tan. (1998). Asia Pacific Bioinformatics Network.. 4 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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