Adrian Tan

23.0k total citations
4 papers, 409 citations indexed

About

Adrian Tan is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Adrian Tan has authored 4 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Adrian Tan's work include Genetic Associations and Epidemiology (3 papers), Molecular Biology Techniques and Applications (1 paper) and Genomics and Rare Diseases (1 paper). Adrian Tan is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Molecular Biology Techniques and Applications (1 paper) and Genomics and Rare Diseases (1 paper). Adrian Tan collaborates with scholars based in Singapore, United States and United Kingdom. Adrian Tan's co-authors include Gonçalo R. Abecasis, Hyun Min Kang, Yik‐Ying Teo, Edmund J.D. Lee, Mark Seielstad, Erwin Tantoso, Chee‐Seng Ku, Kee‐Seng Chia, Jieming Chen and Xueling Sim and has published in prestigious journals such as Blood, Bioinformatics and Genome Research.

In The Last Decade

Adrian Tan

4 papers receiving 401 citations

Peers

Adrian Tan
Claire Davies United States
W.M. Henry United States
My‐Nuong Vo United States
Jennifer L. Salstrom United States
Rebecca Pask United Kingdom
Adrian Tan
Citations per year, relative to Adrian Tan Adrian Tan (= 1×) peers Céline Derbois

Countries citing papers authored by Adrian Tan

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Tan

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

All Works

4 of 4 papers shown
1.
Tan, Adrian, Gonçalo R. Abecasis, & Hyun Min Kang. (2015). Unified representation of genetic variants. Bioinformatics. 31(13). 2202–2204. 220 indexed citations
2.
Tang, Weihong, Saonli Basu, Xiaoxiao Kong, et al.. (2010). Genome-wide association study identifies novel loci for plasma levels of protein C: the ARIC study. Blood. 116(23). 5032–5036. 60 indexed citations
3.
Teo, Yik‐Ying, Xueling Sim, Rick Twee‐Hee Ong, et al.. (2009). Singapore Genome Variation Project: A haplotype map of three Southeast Asian populations. Genome Research. 19(11). 2154–2162. 120 indexed citations
4.
Chiu, Kuo Ping, Pramila Ariyaratne, Xu Han, et al.. (2007). Pathway aberrations of murine melanoma cells observed in Paired-End diTag transcriptomes. BMC Cancer. 7(1). 109–109. 9 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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