Yanmin Si
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- RNA Research and Splicing 9
- RNA modifications and cancer 7
- RNA regulation and disease 3
- RNA and protein synthesis mechanisms 3
- Single-cell and spatial transcriptomics 1
- Genomics and Chromatin Dynamics 1
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 3
- Co-authors
- Jia Yu (13 shared papers)Dongling Zou (2 shared papers)Shuan Rao (2 shared papers)Qinglv Wei (1 shared paper)Qingya Luo (1 shared paper)Jingnan Pi (1 shared paper)Li Li (1 shared paper)Hualiang Xiao (1 shared paper)
- Journals
- Nature Communications (2 papers)The EMBO Journal (1 paper)Molecular Cell (1 paper)Cell Regeneration (1 paper)Genome Research (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yanmin Si
14 papers receiving 711 citations
Yanmin Si's Hit Papers
Peers
Comparison fields: 5 of 56
- Cancer Research 344
- Molecular Biology 636
- Energy Engineering and Power Technology 6
- Oncology 43
- Immunology 26
Countries citing papers authored by Yanmin Si
This map shows the geographic impact of Yanmin Si'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 Yanmin Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanmin Si more than expected).
Fields of papers citing papers by Yanmin Si
This network shows the impact of papers produced by Yanmin Si. 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 Yanmin Si. The network helps show where Yanmin Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanmin Si, 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 | The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation Hit paper breakdown → | 2020 | 546 |
| 2 | 2016 | 38 | |
| 3 | 2020 | 28 | |
| 4 | 2017 | 22 | |
| 5 | 2021 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2020 | 14 | |
| 8 | 2014 | 14 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2026 | 0 |
About Yanmin Si
Yanmin Si is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Electrical and Electronic Engineering, having authored 15 papers that have together received 716 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (3 papers), RNA regulation and disease (3 papers), RNA and protein synthesis mechanisms (3 papers), Single-cell and spatial transcriptomics (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (344 citations), Molecular Biology (636 citations), Energy Engineering and Power Technology (6 citations), Oncology (43 citations) and Immunology (26 citations). Yanmin Si has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jia Yu, Dongling Zou, Shuan Rao, Qinglv Wei, Qingya Luo, Jingnan Pi, Li Li, Hualiang Xiao, Jing Jin and Yang Yu. Their work appears in journals such as Nature Communications, The EMBO Journal, Molecular Cell, Cell Regeneration and Genome Research.
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.