Min Ma

3.1k citations
125 papers · 2.3k indexed · h-index 29

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

Min Ma

119 papers receiving 2.3k citations

Peers

Min Ma
Comparison fields: 5 of 134
  • Cancer Research 641
  • Molecular Biology 1.2k
  • Complementary and alternative medicine 131
  • Pharmacology 133
  • Pharmacology 174
Replace Huijuan Liu with:
Huijuan Liu China
Cun Liu China
Chwen-Ming Shih Taiwan
Jingling Jin United States
Qizhi Wang China
Hamed Shoorei Iran
Yanna Cheng China
Yali Liu China
Yongli Bao China
Min Ma relative to Huijuan Liu China Huijuan Liu's profile →
Citations per field
00.5×1.7×
Huijuan Liu · 1×
Citations per year

Countries citing papers authored by Min Ma

Since Specialization
Citations

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

Fields of papers citing papers by Min Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021125
2 201774
3 201973
4 201870
5 202060
6 202254
7 201053
8 201850
9 201949
10 201943
11 201943
12 201743
13 202043
14 201942
15 201740
16 201938
17 201638
18 201835
19 201733
20 201333

About Min Ma

Min Ma is a scholar working on Cancer Research, Pharmacology, Molecular Biology, Hepatology and Pharmacology, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Circular RNAs in diseases (12 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers), Gastric Cancer Management and Outcomes (7 papers), RNA modifications and cancer (6 papers), Extracellular vesicles in disease (6 papers), Liver physiology and pathology (5 papers) and Postharvest Quality and Shelf Life Management (5 papers). The work is most often cited by research in Cancer Research (641 citations), Molecular Biology (1.2k citations), Complementary and alternative medicine (131 citations), Pharmacology (133 citations) and Pharmacology (174 citations). Min Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengzhi Wu, Changwei Lin, Qiang Zeng, Fei Long, Dongmei Gao, Guijuan Zhang, Jiefeng Cui, Rui Zhang, Xiaorong Li and Xuefeng Jiang. Their work appears in journals such as Scientific Reports, Evidence-based Complementary and Alternative Medicine, BMC Cancer, Nature Communications and OncoTargets and Therapy.

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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