Meina Yan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Epigenetics and DNA Methylation
- Circular RNAs in diseases
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
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- Circular RNAs in diseases 4
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Gut microbiota and health 2
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Qixiang Shao (8 shared papers)Xinxin Yang (7 shared papers)Hui Wang (5 shared papers)Yangjing Zhao (3 shared papers)Haojie Wu (1 shared paper)Jingzhe Wang (1 shared paper)Peifang Yang (4 shared papers)Yifeng Gu (1 shared paper)
- Journals
- Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)Scientific Reports (1 paper)Oncology Reports (1 paper)Cell Death and Disease (1 paper)Cancer Biology and Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Meina Yan
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 154
- Molecular Biology 256
- Immunology 55
- Reproductive Medicine 17
- Oncology 49
Countries citing papers authored by Meina Yan
This map shows the geographic impact of Meina Yan'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 Meina Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meina Yan more than expected).
Fields of papers citing papers by Meina Yan
This network shows the impact of papers produced by Meina Yan. 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 Meina Yan. The network helps show where Meina Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Meina Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | The critical role of histone lysine demethylase KDM2B in cancer. | 2018 | 54 |
| 3 | 2015 | 40 | |
| 4 | 2018 | 31 | |
| 5 | 2023 | 26 | |
| 6 | 2018 | 23 | |
| 7 | 2018 | 23 | |
| 8 | 2024 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 8 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 |
About Meina Yan
Meina Yan is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Rheumatology, having authored 18 papers that have together received 365 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Epigenetics and DNA Methylation (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (154 citations), Molecular Biology (256 citations), Immunology (55 citations), Reproductive Medicine (17 citations) and Oncology (49 citations). Meina Yan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qixiang Shao, Xinxin Yang, Hui Wang, Yangjing Zhao, Haojie Wu, Jingzhe Wang, Peifang Yang, Yifeng Gu, Genbao Shao and Sheng Xia. Their work appears in journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Scientific Reports, Oncology Reports, Cell Death and Disease and Cancer Biology and Medicine.
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.