Sin Lam Tan

13 papers and 369 indexed citations i.

About

Sin Lam Tan is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Sin Lam Tan has authored 13 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Sin Lam Tan’s work include Biomedical Text Mining and Ontologies (4 papers), Genomics and Chromatin Dynamics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Sin Lam Tan is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Genomics and Chromatin Dynamics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Sin Lam Tan collaborates with scholars based in Singapore, United States and South Africa. Sin Lam Tan's co-authors include Vladimir B. Bajić, Sumio Sugano, Yutaka Suzuki, Chikatoshi Kai, Piero Carninci, Yoshihide Hayashizaki, Jun Kawai, Rajesh Chowdhary, Christian Schönbach and Liang Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Sin Lam Tan i

Fields of papers citing papers by Sin Lam Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sin Lam Tan

Since Specialization
Citations

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

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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2025