Chenyi Wang
Impact in
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- Genomics and Chromatin Dynamics
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 4
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 2
- Plant Gene Expression Analysis 2
- Histone Deacetylase Inhibitors Research 2
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- Chromosomal and Genetic Variations 3
- Co-authors
- P. Filippakopoulos (1 shared paper)Cheng-Fu Kao (4 shared papers)Didier Devys (2 shared papers)Làszlò Tora (1 shared paper)Tiago Baptista (1 shared paper)Stéphane D. Vincent (1 shared paper)Matthieu Stierlé (1 shared paper)Jacques Bonnet (1 shared paper)
In The Last Decade
Chenyi Wang
46 papers receiving 674 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 503
- Cancer Research 65
- Aging 7
- Hematology 40
- Biological Psychiatry 7
Countries citing papers authored by Chenyi Wang
This map shows the geographic impact of Chenyi 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 Chenyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyi Wang more than expected).
Fields of papers citing papers by Chenyi Wang
This network shows the impact of papers produced by Chenyi 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 Chenyi Wang. The network helps show where Chenyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyi 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 158 | |
| 2 | 2015 | 113 | |
| 3 | 2019 | 50 | |
| 4 | 2015 | 43 | |
| 5 | 2018 | 43 | |
| 6 | 2014 | 26 | |
| 7 | 2013 | 24 | |
| 8 | 2011 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2018 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2013 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2020 | 6 |
About Chenyi Wang
Chenyi Wang is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Surgery, having authored 48 papers that have together received 677 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers), Ubiquitin and proteasome pathways (4 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (2 papers), Plant Gene Expression Analysis (2 papers), Renal cell carcinoma treatment (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Molecular Biology (503 citations), Cancer Research (65 citations), Aging (7 citations), Hematology (40 citations) and Biological Psychiatry (7 citations). Chenyi Wang has collaborated with scholars based in China, Taiwan and France. Frequent co-authors include P. Filippakopoulos, Cheng-Fu Kao, Didier Devys, Làszlò Tora, Tiago Baptista, Stéphane D. Vincent, Matthieu Stierlé, Jacques Bonnet, Yunzhao Xu and Jianfei Huang. Their work appears in journals such as PLoS ONE, Scientific Reports, eLife, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Ocean Engineering.
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.