Chenguang Wang
- Cancer Research top 0.2%
- Cancer, Hypoxia, and Metabolism 17
- Molecular Biology top 0.5%
- Advanced biosensing and bioanalysis techniques 21
- Epigenetics and DNA Methylation 20
- Histone Deacetylase Inhibitors Research 15
- Genomics and Chromatin Dynamics 15
- CRISPR and Genetic Engineering 14
- RNA modifications and cancer 14
- Oncology top 0.5%
- Cancer-related Molecular Pathways 30
- Geriatrics and Gerontology top 1%
- Cell Biology top 1%
- Co-authors
- Richard G. PestellMaofu FuZhiping LiMichael P. LisantiToshiyuki SakamakiMathew C. CasimiroKongming WuFederica Sotgia
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chenguang Wang
239 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 3.2k
- Molecular Biology 7.8k
- Oncology 2.8k
- Geriatrics and Gerontology 340
- Cell Biology 853
Countries citing papers authored by Chenguang Wang
This map shows the geographic impact of Chenguang 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 Chenguang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenguang Wang more than expected).
Fields of papers citing papers by Chenguang Wang
This network shows the impact of papers produced by Chenguang 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 Chenguang Wang. The network helps show where Chenguang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenguang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 6 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 51 | |
| 6 | 2016 | 76 | |
| 7 | 2015 | 21 | |
| 8 | 2014 | 29 | |
| 9 | 2014 | 118 | |
| 10 | 2013 | 49 | |
| 11 | 2013 | 44 | |
| 12 | 2013 | 15 | |
| 13 | 2012 | 24 | |
| 14 | 2011 | 10 | |
| 15 | 2011 | 31 | |
| 16 | 2010 | 135 | |
| 17 | 2010 | 94 | |
| 18 | 2009 | 235 | |
| 19 | 2009 | 42 | |
| 20 | 2009 | 436 |
About Chenguang Wang
Chenguang Wang is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 249 papers that have together received 12.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (30 papers), Advanced biosensing and bioanalysis techniques (21 papers), Epigenetics and DNA Methylation (20 papers), Cancer, Hypoxia, and Metabolism (17 papers), Histone Deacetylase Inhibitors Research (15 papers), Genomics and Chromatin Dynamics (15 papers), CRISPR and Genetic Engineering (14 papers) and RNA modifications and cancer (14 papers). The work is most often cited by research in Cancer Research (3.2k citations), Molecular Biology (7.8k citations) and Oncology (2.8k citations). Chenguang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Richard G. Pestell, Maofu Fu, Zhiping Li, Michael P. Lisanti, Toshiyuki Sakamaki, Mathew C. Casimiro, Kongming Wu, Federica Sotgia, Xueping Zhang and Ubaldo Martinez‐Outschoorn. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.