Chenwei Wang
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Aging top 5%
Papers in
-
- Ubiquitin and proteasome pathways 7
- Machine Learning in Bioinformatics 5
- Genomics and Phylogenetic Studies 4
- Oncology 12
- Co-authors
- Yu Xue (19 shared papers)Di Peng (13 shared papers)Shaofeng Lin (11 shared papers)Wankun Deng (8 shared papers)Ying Zhang (6 shared papers)M. Yuan (1 shared paper)Jiaqi Li (1 shared paper)Jiaqi Zhou (6 shared papers)
- Journals
- Nature Communications (6 papers)Nucleic Acids Research (3 papers)Briefings in Bioinformatics (3 papers)BMC Genomics (3 papers)Autophagy (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chenwei Wang
99 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 144
- Hepatology 253
- Aging 52
- Parasitology 170
- Molecular Biology 1.1k
- Cancer Research 199
Countries citing papers authored by Chenwei Wang
This map shows the geographic impact of Chenwei 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 Chenwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenwei Wang more than expected).
Fields of papers citing papers by Chenwei Wang
This network shows the impact of papers produced by Chenwei 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 Chenwei Wang. The network helps show where Chenwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenwei 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 221 | |
| 2 | 1999 | 182 | |
| 3 | 2007 | 139 | |
| 4 | 2016 | 101 | |
| 5 | 2020 | 93 | |
| 6 | 2004 | 84 | |
| 7 | 2018 | 75 | |
| 8 | 2006 | 69 | |
| 9 | 2020 | 69 | |
| 10 | 2008 | 62 | |
| 11 | 2019 | 62 | |
| 12 | 2008 | 61 | |
| 13 | 2021 | 58 | |
| 14 | 2019 | 56 | |
| 15 | 2022 | 56 | |
| 16 | 2023 | 54 | |
| 17 | 2021 | 53 | |
| 18 | 2003 | 53 | |
| 19 | 2019 | 52 | |
| 20 | 2021 | 51 |
About Chenwei Wang
Chenwei Wang is a scholar working on Molecular Biology, Oncology, Hepatology, Organic Chemistry and Epidemiology, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Ubiquitin and proteasome pathways (7 papers), Supramolecular Chemistry and Complexes (6 papers), Autophagy in Disease and Therapy (6 papers), Machine Learning in Bioinformatics (5 papers), Advanced Surface Polishing Techniques (4 papers), Traffic and Road Safety (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Hepatology (253 citations), Aging (52 citations), Parasitology (170 citations), Molecular Biology (1.1k citations) and Cancer Research (199 citations). Chenwei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Xue, Di Peng, Shaofeng Lin, Wankun Deng, Ying Zhang, M. Yuan, Jiaqi Li, Jiaqi Zhou, Wei He and Ying Shi. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Briefings in Bioinformatics, BMC Genomics and Autophagy.
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.