Chenchen Wang
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Pharmaceutical Science top 10%
Papers in
-
- RNA Research and Splicing 3
- PI3K/AKT/mTOR signaling in cancer 3
- Epidemiology 17
- Autophagy in Disease and Therapy 4
- Herpesvirus Infections and Treatments 3
- Co-authors
- Jun Yao (2 shared papers)Zhaoqin Huang (2 shared papers)Anthony J. Hickey (4 shared papers)Pavan Muttil (3 shared papers)Lucila Garcia‐Contreras (3 shared papers)Yajun Li (1 shared paper)Jiaxuan Jiang (6 shared papers)David A. Edwards (2 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)The AAPS Journal (3 papers)Frontiers in Immunology (2 papers)Science China Information Sciences (2 papers)FEBS Open Bio (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chenchen Wang
67 papers receiving 896 citations
Peers
Comparison fields: 5 of 135
- Pharmacology 80
- Pharmaceutical Science 44
- Immunology 134
- Epidemiology 143
- Neurology 34
Countries citing papers authored by Chenchen Wang
This map shows the geographic impact of Chenchen 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 Chenchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Wang more than expected).
Fields of papers citing papers by Chenchen Wang
This network shows the impact of papers produced by Chenchen 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 Chenchen Wang. The network helps show where Chenchen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 62 | |
| 2 | 2016 | 45 | |
| 3 | 2019 | 45 | |
| 4 | 2010 | 44 | |
| 5 | 2010 | 37 | |
| 6 | 2017 | 30 | |
| 7 | 2010 | 28 | |
| 8 | 2017 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2023 | 26 | |
| 11 | 2022 | 25 | |
| 12 | 2009 | 24 | |
| 13 | 2016 | 23 | |
| 14 | 2014 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2022 | 21 | |
| 17 | 2017 | 21 | |
| 18 | 2024 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2019 | 19 |
About Chenchen Wang
Chenchen Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Public Health, Environmental and Occupational Health, having authored 71 papers that have together received 905 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Inhalation and Respiratory Drug Delivery (4 papers), Ocular Surface and Contact Lens (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), RNA Research and Splicing (3 papers), Herpesvirus Infections and Treatments (3 papers), Advanced Vision and Imaging (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Pharmacology (80 citations), Pharmaceutical Science (44 citations), Immunology (134 citations), Epidemiology (143 citations) and Neurology (34 citations). Chenchen Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Yao, Zhaoqin Huang, Anthony J. Hickey, Pavan Muttil, Lucila Garcia‐Contreras, Yajun Li, Jiaxuan Jiang, David A. Edwards, John K. Fallon and Jianping Cai. Their work appears in journals such as Frontiers in Pharmacology, The AAPS Journal, Frontiers in Immunology, Science China Information Sciences and FEBS Open Bio.
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.