Ye Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Gut microbiota and health
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Protein Degradation and Inhibitors
Papers in
-
- Histone Deacetylase Inhibitors Research 5
- Epigenetics and DNA Methylation 5
- Gut microbiota and health 5
- FOXO transcription factor regulation 4
- Protein Degradation and Inhibitors 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Xiaoyuan Chu (2 shared papers)Tao Xie (2 shared papers)Cheng Chen (2 shared papers)Zhenyu Lin (3 shared papers)Mengxi Huang (2 shared papers)Jian Geng (2 shared papers)Liya Wang (2 shared papers)Gang Wu (3 shared papers)
- Journals
- Scientific Reports (4 papers)Frontiers in Microbiology (3 papers)Cancer Letters (3 papers)Oncotarget (3 papers)Poultry Science (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ye Wang
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 205
- Molecular Biology 740
- Hepatology 61
- Oncology 169
- Microbiology 32
Countries citing papers authored by Ye Wang
This map shows the geographic impact of Ye 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 Ye Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wang more than expected).
Fields of papers citing papers by Ye Wang
This network shows the impact of papers produced by Ye 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 Ye Wang. The network helps show where Ye Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2017 | 94 | |
| 3 | 2014 | 84 | |
| 4 | 2018 | 70 | |
| 5 | 2016 | 59 | |
| 6 | 2013 | 54 | |
| 7 | 2017 | 43 | |
| 8 | 2017 | 43 | |
| 9 | 2018 | 40 | |
| 10 | 2018 | 40 | |
| 11 | 2018 | 39 | |
| 12 | 2011 | 34 | |
| 13 | 2018 | 34 | |
| 14 | 2015 | 26 | |
| 15 | 2020 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 2022 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 15 |
About Ye Wang
Ye Wang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Immunology and Plant Science, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), Cancer Mechanisms and Therapy (5 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Gut microbiota and health (5 papers), FOXO transcription factor regulation (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (205 citations), Molecular Biology (740 citations), Hepatology (61 citations), Oncology (169 citations) and Microbiology (32 citations). Ye Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoyuan Chu, Tao Xie, Cheng Chen, Zhenyu Lin, Mengxi Huang, Jian Geng, Liya Wang, Gang Wu, Fachao Zhi and Ming Kuang. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, Cancer Letters, Oncotarget and Poultry Science.
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.