Catherine Tan

12 total papers · 1.5k total citations
6 papers, 693 citations indexed

About

Catherine Tan is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Catherine Tan has authored 6 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Cancer Research. Recurrent topics in Catherine Tan's work include Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (2 papers) and Gene expression and cancer classification (2 papers). Catherine Tan is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (2 papers) and Gene expression and cancer classification (2 papers). Catherine Tan collaborates with scholars based in United States, Canada and United Kingdom. Catherine Tan's co-authors include Inkyung Jung, Bing Ren, Cathy L. Barr, Anthony D. Schmitt, Shin Lin, Yunjiang Qiu, Yiing Lin, Yun Li, Ming Hu and Zheng Xu and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Molecular Biology of the Cell.

In The Last Decade

Catherine Tan

5 papers receiving 691 citations

Hit Papers

A Compendium of Chromatin... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Catherine Tan 570 212 98 56 40 6 693
Joseph Nasser 668 1.2× 240 1.1× 62 0.6× 75 1.3× 57 1.4× 8 790
Marija Klasić 647 1.1× 154 0.7× 63 0.6× 38 0.7× 64 1.6× 13 721
Amy Mitrano 508 0.9× 165 0.8× 51 0.5× 55 1.0× 57 1.4× 5 688
Maxim Barenboim 534 0.9× 116 0.5× 99 1.0× 105 1.9× 39 1.0× 12 643
Seva Kashin 520 0.9× 283 1.3× 70 0.7× 89 1.6× 26 0.7× 7 750
Drew T. Bergman 586 1.0× 176 0.8× 60 0.6× 59 1.1× 51 1.3× 8 678
Joe R. Davis 484 0.8× 407 1.9× 90 0.9× 101 1.8× 30 0.8× 10 713
Sowmya Iyer 608 1.1× 106 0.5× 60 0.6× 77 1.4× 41 1.0× 3 700
Concetta G.A. Marfella 627 1.1× 137 0.6× 52 0.5× 56 1.0× 27 0.7× 9 711
Ruth A. Singer 338 0.6× 159 0.8× 48 0.5× 64 1.1× 27 0.7× 12 592

Countries citing papers authored by Catherine Tan

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Tan. A scholar is included among the top collaborators of Catherine 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 Catherine Tan. Catherine Tan 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