Ming Chen

4.9k citations
114 papers · 2.8k · 1 hit paper · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • PI3K/AKT/mTOR signaling in cancer
    • RNA modifications and cancer

Papers in

Ming Chen

106 papers receiving 2.8k citations

Ming Chen's Hit Papers

The functions and regulation of the PTEN tumour suppressor: new modes and prospects 2018 · 670 citations
6700+2+5Years since publication200400600

Peers

Ming Chen
Comparison fields: 5 of 146
  • Cancer Research 515
  • Molecular Biology 1.3k
  • Oncology 470
  • Biochemistry 101
  • Immunology 318
Replace Sanjeev K. Srivastava with:
Sanjeev K. Srivastava United States
Mitchell F. Denning United States
Xia Xu China
Tiziana Annese Italy
Paolo Cirri Italy
Jing Pan United States
Kazuhiro Chida Japan
Yingjie Zhang China
Qiong Shi China
Jeong‐Seok Nam South Korea
Ming Chen relative to Sanjeev K. Srivastava United States Sanjeev K. Srivastava's profile →
Citations per field
00.5×1.5×2.0×
Sanjeev K. Srivastava · 1×
Citations per year

Countries citing papers authored by Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Chen, 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 Chen Line = papers co-authored together Ming Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The functions and regulation of the PTEN tumour suppressor: new modes and prospects
Hit paper breakdown →
2018670
2 2009159
3 2018136
4 2019122
5 2003103
6 200585
7 201480
8 201577
9 201568
10 200863
11 200955
12 200754
13 201852
14 201949
15 201944
16 200843
17 200939
18 201839
19 201338
20 201637

About Ming Chen

Ming Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Cancer Research, having authored 114 papers that have together received 2.8k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Prostate Cancer Treatment and Research (9 papers), Estrogen and related hormone effects (8 papers), Hormonal and reproductive studies (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Advanced MIMO Systems Optimization (5 papers), RNA Interference and Gene Delivery (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Cancer Research (515 citations), Molecular Biology (1.3k citations), Oncology (470 citations), Biochemistry (101 citations) and Immunology (318 citations). Ming Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Pier Paolo Pandolfi, Yu-Ru Lee, Jiaoti Huang, Shuyuan Yeh, François Berthiaume, Jing Ni, John G. Clohessy, Christopher Ng, Andrea Lunardi and Hong‐Chiang Chang. Their work appears in journals such as BMC Musculoskeletal Disorders, PLoS ONE, Cancer Discovery, Molecular and Cellular Biochemistry and Cancer Research.

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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