Xiaoli Min
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Circular RNAs in diseases 8
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 6
- Co-authors
- Ming Zhao (7 shared papers)Longyuan Hu (4 shared papers)Yongheng Chen (5 shared papers)Haijing Wu (3 shared papers)Chang Yao (1 shared paper)Yi Cao (3 shared papers)Zhuchu Chen (4 shared papers)Qianjin Lu (4 shared papers)
- Journals
- Journal of Cancer (3 papers)Frontiers in Neurology (2 papers)Neurochemical Research (2 papers)Molecular Neurobiology (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoli Min
39 papers receiving 522 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 106
- Immunology 102
- Neurology 37
- Molecular Biology 245
- Rheumatology 45
Countries citing papers authored by Xiaoli Min
This map shows the geographic impact of Xiaoli Min'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 Xiaoli Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Min more than expected).
Fields of papers citing papers by Xiaoli Min
This network shows the impact of papers produced by Xiaoli Min. 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 Xiaoli Min. The network helps show where Xiaoli Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Min, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Iron-dependent epigenetic modulation promotes pathogenic T cell differentiation in lupus | 2022 | 56 |
| 2 | 2018 | 54 | |
| 3 | 2020 | 44 | |
| 4 | 2021 | 31 | |
| 5 | 2015 | 30 | |
| 6 | 2019 | 27 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2024 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 2017 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2021 | 16 | |
| 14 | 2017 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2019 | 10 |
About Xiaoli Min
Xiaoli Min is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Neurology and Oncology, having authored 47 papers that have together received 526 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Nuclear Receptors and Signaling (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (106 citations), Immunology (102 citations), Neurology (37 citations), Molecular Biology (245 citations) and Rheumatology (45 citations). Xiaoli Min has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming Zhao, Longyuan Hu, Yongheng Chen, Haijing Wu, Chang Yao, Yi Cao, Zhuchu Chen, Qianjin Lu, Meiling Zheng and Pei Du. Their work appears in journals such as Journal of Cancer, Frontiers in Neurology, Neurochemical Research, Molecular Neurobiology and International Immunopharmacology.
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.