Jing Tan

6.8k total citations · 1 hit paper
75 papers, 2.9k citations indexed

About

Jing Tan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Tan has authored 75 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Jing Tan's work include Cancer-related gene regulation (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Jing Tan is often cited by papers focused on Cancer-related gene regulation (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Jing Tan collaborates with scholars based in China, Singapore and United States. Jing Tan's co-authors include Qiang Yu, Xia Jiang, Edison T. Liu, Li Zhuang, Puay Leng Lee, Xiaojing Yang, R. Krishna Murthy Karuturi, Wei Chen, Yan Zhao and Li Zhuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Jing Tan

69 papers receiving 2.8k citations

Hit Papers

Pharmacologic disruption of Polycomb-repressive complex 2... 2007 2026 2013 2019 2007 200 400 600

Peers

Jing Tan
Comparison fields: 5 of 126
  • Molecular Biology 2.0k
  • Oncology 634
  • Cancer Research 602
  • Pathology and Forensic Medicine 275
  • Immunology 221
Replace Ming Yu with:
Ming Yu United States
Valeria Masciullo Italy
Akira Hirasawa Japan
Masashi Idogawa Japan
Karin Sundfeldt Sweden
Dirk Bauerschlag Germany
Luíz Gonzaga Tone Brazil
Sonia Fabris Italy
Annie L.M. Cheung Hong Kong
Lise Lotte Hansen Denmark
Ming Yu United States View profile →
Citations per field, relative to Jing Tan
Jing Tan · 1×
Citations per year, relative to Jing Tan
Jing Tan · 1×

Countries citing papers authored by Jing Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Tan. A scholar is included among the top collaborators of Jing 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 Jing Tan. Jing 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
# Work Indexed citations
1 1
2 3
3 0
4 23
5 4
6
Thyroid Hormone Changes in Euthyroid Patients with Diabetes
1
7
Noscapine Induces Apoptosis in Human Colon Cancer Cells by Regulating Mitochondrial Damage and Warburg Effect via PTEN/PI3K/mTOR Signaling Pathway
2
8 2
9 15
10 74
11 24
12 11
13 32
14 115
15 32
16 72
17 9
18 27
19 53
20
Analysis of experimental precision and grey integrative evaluation of varieties in maize regional trials
1

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