Ming Tan

30.3k citations
243 papers · 13.9k indexed · 5 hit papers · h-index 58
    • Cancer, Hypoxia, and Metabolism 22
    • MicroRNA in disease regulation 21
    • Cancer-related molecular mechanisms research 18
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 15
    • HER2/EGFR in Cancer Research 14
    • RNA modifications and cancer 13
    • PI3K/AKT/mTOR signaling in cancer 10
  • Immunology top 2%
    • Autophagy in Disease and Therapy 12

Ming Tan

229 papers receiving 13.6k citations

Hit Papers

New front...12220042026201120184008001.2k

Peers

Ming Tan
Comparison fields: 5 of 184
  • Cancer Research 4.3k
  • Oncology 4.3k
  • Molecular Biology 7.5k
  • Health Informatics 138
  • Immunology 1.5k
Replace Rui‐Hua Xu with:
Rui‐Hua Xu China
James D. Brooks United States
Hao Zhang China
George Wilding United States
Emile E. Voest Netherlands
Yun Yen United States
Vijay H. Shah United States
Peter J. O’Dwyer United States
Peter H. Watson Canada
Carsten Denkert Germany
Ming Tan relative to Rui‐Hua Xu China Rui‐Hua Xu's profile →
Citations per field
00.5×1.5×2.1×
Rui‐Hua Xu · 1×
Citations per year

Countries citing papers authored by Ming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ming Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Tan Line = papers co-authored together Ming Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20241
5 202422
6 20241
7 20241
8 20242
9 202325
10 20233
11 20232
12 20220
13 20221
14 201913
15 201782
16 201637
17 2016127
18 2013103
19 2011128
20 200954

About Ming Tan

Ming Tan is a scholar working on Cancer Research, Pharmacology and Oncology, having authored 243 papers that have together received 13.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (22 papers), MicroRNA in disease regulation (21 papers), Cancer-related molecular mechanisms research (18 papers), Cancer-related Molecular Pathways (15 papers), HER2/EGFR in Cancer Research (14 papers), RNA modifications and cancer (13 papers), Autophagy in Disease and Therapy (12 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). The work is most often cited by research in Cancer Research (4.3k citations), Oncology (4.3k citations) and Molecular Biology (7.5k citations). Ming Tan has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Dihua Yu, Jianrong Lu, Ethan B. Butler, Yinglan Zhao, Mien‐Chie Hung, Qingsong Cai, Øystein Fodstad, Xiaoyan Zhou, Keng‐Hsueh Lan and Kristine S. Klos. Their work appears in journals such as Cancer Research, PLoS ONE, Journal of Ethnopharmacology, Cell Death and Disease and Oncotarget.

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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