Yimin Wang
Impact in
- General Decision Sciences top 5%
Papers in
-
- RNA modifications and cancer 13
- RNA Research and Splicing 9
- Advanced biosensing and bioanalysis techniques 6
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- Cancer-related molecular mechanisms research 8
- Co-authors
- Chung S. Yang (3 shared papers)Ming Zhu Fang (3 shared papers)William J. Welsh (1 shared paper)Yi Sun (1 shared paper)Hong Lu (1 shared paper)Ni Ai (1 shared paper)Zhé Hóu (1 shared paper)Jerome R. Busemeyer (1 shared paper)
- Journals
- Genomics (7 papers)Nucleic Acids Research (5 papers)Frontiers in Immunology (4 papers)Sensors and Actuators B Chemical (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yimin Wang
120 papers receiving 3.8k citations
Yimin Wang's Hit Papers
Peers
Comparison fields: 5 of 177
- Applied Microbiology and Biotechnology 96
- General Decision Sciences 80
- Cancer Research 498
- Molecular Biology 2.0k
- Ophthalmology 210
Countries citing papers authored by Yimin Wang
This map shows the geographic impact of Yimin Wang'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 Yimin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yimin Wang more than expected).
Fields of papers citing papers by Yimin Wang
This network shows the impact of papers produced by Yimin Wang. 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 Yimin Wang. The network helps show where Yimin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yimin Wang, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tea polyphenol (-)-epigallocatechin-3-gallate inhibits DNA methyltransferase and reactivates methylation-silenced genes in cancer cell lines. Hit paper breakdown → | 2003 | 837 |
| 2 | 1997 | 255 | |
| 3 | 2000 | 193 | |
| 4 | 2011 | 129 | |
| 5 | 2018 | 123 | |
| 6 | 2005 | 106 | |
| 7 | 2013 | 105 | |
| 8 | 2014 | 74 | |
| 9 | 2017 | 70 | |
| 10 | 2019 | 68 | |
| 11 | 1993 | 62 | |
| 12 | 2005 | 60 | |
| 13 | 2010 | 57 | |
| 14 | 2019 | 56 | |
| 15 | 2018 | 56 | |
| 16 | 2016 | 56 | |
| 17 | 2017 | 52 | |
| 18 | 2021 | 49 | |
| 19 | 2020 | 48 | |
| 20 | 2018 | 46 |
About Yimin Wang
Yimin Wang is a scholar working on Molecular Biology, Cancer Research, Genetics, Biophysics and Cell Biology, having authored 131 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), RNA Research and Splicing (9 papers), Cancer-related molecular mechanisms research (8 papers), Cell Image Analysis Techniques (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (96 citations), General Decision Sciences (80 citations), Cancer Research (498 citations), Molecular Biology (2.0k citations) and Ophthalmology (210 citations). Yimin Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chung S. Yang, Ming Zhu Fang, William J. Welsh, Yi Sun, Hong Lu, Ni Ai, Zhé Hóu, Jerome R. Busemeyer, Nobuyoshi Shimizu and Jun Kudoh. Their work appears in journals such as Genomics, Nucleic Acids Research, Frontiers in Immunology, Sensors and Actuators B Chemical and Scientific Reports.
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.