Mingming Jin
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in ⓘ
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- MicroRNA in disease regulation 20
- Cancer-related molecular mechanisms research 17
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- Circular RNAs in diseases 16
- Extracellular vesicles in disease 14
- RNA modifications and cancer 6
- RNA Research and Splicing 4
- Co-authors
- Gang Huang (20 shared papers)Qiancheng Luo (4 shared papers)Mei Jiang (4 shared papers)Guorong Liu (3 shared papers)Dongfeng Guo (3 shared papers)Guo Chen (2 shared papers)Qian Hua (3 shared papers)Jianjun Liu (3 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)Aging (3 papers)International Immunopharmacology (3 papers)Phytomedicine (3 papers)Biomedical Signal Processing and Control (3 papers)
- Partner nations
- ChinaSouth KoreaHong Kong
In The Last Decade
Mingming Jin
64 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 1.1k
- Molecular Biology 1.6k
- Neurology 151
- Genetics 108
- Immunology 184
Countries citing papers authored by Mingming Jin
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
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.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 259 | |
| 2 | 2017 | 224 | |
| 3 | 2019 | 196 | |
| 4 | 2018 | 171 | |
| 5 | 2021 | 154 | |
| 6 | 2018 | 114 | |
| 7 | 2020 | 107 | |
| 8 | 2020 | 88 | |
| 9 | 2019 | 84 | |
| 10 | 2022 | 54 | |
| 11 | 2017 | 53 | |
| 12 | 2024 | 46 | |
| 13 | 2022 | 46 | |
| 14 | 2023 | 41 | |
| 15 | 2020 | 41 | |
| 16 | 2020 | 39 | |
| 17 | 2020 | 33 | |
| 18 | 2018 | 29 | |
| 19 | 2024 | 28 | |
| 20 | 2022 | 27 |
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.