Tak-Ming Chan

26 total papers · 1.3k total citations
23 papers, 951 citations indexed

About

Tak-Ming Chan is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Tak-Ming Chan has authored 23 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Artificial Intelligence and 5 papers in Health Information Management. Recurrent topics in Tak-Ming Chan's work include Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Healthcare (5 papers). Tak-Ming Chan is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Healthcare (5 papers). Tak-Ming Chan collaborates with scholars based in Hong Kong, China and United States. Tak-Ming Chan's co-authors include Xinshu Xiao, Jae Hoon Bahn, Xianzhi Lin, Yong Kim, Qing Zhang, Feng Li, David T. Wong, Kin-Hong Lee, Kwong‐Sak Leung and Ka‐Chun Wong and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome Research.

In The Last Decade

Tak-Ming Chan

23 papers receiving 934 citations

Hit Papers

The Landscape of MicroRNA... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The Landscape of MicroRNA, Piwi-Interacting RNA, and Circular RNA in Human Saliva
    2014 536 citations Jae Hoon Bahn, Qing Zhang et al. Clinical Chemistry profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tak-Ming Chan 716 478 133 58 41 23 951
Neo Christopher Chung 383 0.5× 72 0.2× 111 0.8× 19 0.3× 34 0.8× 17 871
Margaret Guo 493 0.7× 118 0.2× 71 0.5× 73 1.3× 14 0.3× 14 978
Lana X. Garmire 697 1.0× 347 0.7× 159 1.2× 32 0.6× 12 0.3× 21 1.1k
Vincent Gardeux 749 1.0× 129 0.3× 47 0.4× 46 0.8× 18 0.4× 43 1.1k
Elvira Mitraka 825 1.2× 162 0.3× 216 1.6× 23 0.4× 6 0.1× 19 1.1k
Yifei Chen 675 0.9× 123 0.3× 158 1.2× 30 0.5× 31 0.8× 34 1.2k
Travers Ching 729 1.0× 377 0.8× 125 0.9× 14 0.2× 15 0.4× 28 1.1k
Yuanxu Gao 720 1.0× 537 1.1× 134 1.0× 37 0.6× 20 0.5× 35 1.2k
Lei Song 463 0.6× 286 0.6× 31 0.2× 9 0.2× 24 0.6× 41 842
Konstantinos Sidiropoulos 638 0.9× 162 0.3× 69 0.5× 7 0.1× 52 1.3× 23 1.2k

Countries citing papers authored by Tak-Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tak-Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tak-Ming Chan. 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 Tak-Ming Chan. The network helps show where Tak-Ming Chan may publish in the future.

Co-authorship network of co-authors of Tak-Ming Chan

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

All Works

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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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2026