Mingming Jin

3.1k citations
72 papers · 2.2k indexed · h-index 22

Impact in

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

Papers in

    • MicroRNA in disease regulation 20
    • Cancer-related molecular mechanisms research 17
    • Circular RNAs in diseases 16
    • Extracellular vesicles in disease 14
    • RNA modifications and cancer 6
    • RNA Research and Splicing 4

Mingming Jin

64 papers receiving 2.2k citations

Peers

Mingming Jin
Comparison fields: 5 of 127
  • Cancer Research 1.1k
  • Molecular Biology 1.6k
  • Neurology 151
  • Genetics 108
  • Immunology 184
Replace Xia Yang with:
Xia Yang China
Chao Cheng China
Lucas Treps France
Oluwaseun Adebayo Bamodu Taiwan
Hao Guo China
Jianye Xu China
Nan Shao China
Xiaoping Zhang China
Jie Tang China
Mingming Jin relative to Xia Yang China Xia Yang's profile →
Citations per field
00.5×
Xia Yang · 1×
Citations per year

Countries citing papers authored by Mingming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018259
2 2017224
3 2019196
4 2018171
5 2021154
6 2018114
7 2020107
8 202088
9 201984
10 202254
11 201753
12 202446
13 202246
14 202341
15 202041
16 202039
17 202033
18 201829
19 202428
20 202227

About Mingming Jin

Mingming Jin is a scholar working on Cancer Research, Molecular Biology, Neurology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (17 papers), Circular RNAs in diseases (16 papers), Extracellular vesicles in disease (14 papers), Ferroptosis and cancer prognosis (8 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.6k citations), Neurology (151 citations), Genetics (108 citations) and Immunology (184 citations). Mingming Jin has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Gang Huang, Qiancheng Luo, Mei Jiang, Guorong Liu, Dongfeng Guo, Guo Chen, Qian Hua, Jianjun Liu, Fei Xu and Hang Min. Their work appears in journals such as Biomedicine & Pharmacotherapy, Aging, International Immunopharmacology, Phytomedicine and Biomedical Signal Processing and Control.

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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