Chun‐I Wang
Impact in
-
- Cancer-related molecular mechanisms research
- Otorhinolaryngology top 10%
Papers in ⓘ
- Co-authors
- D. Adlersberg (14 shared papers)Seymour R. Cohen (1 shared paper)Chia‐Jung Yu (9 shared papers)Yu‐Sun Chang (8 shared papers)Jau‐Song Yu (7 shared papers)Chih‐Liang Wang (8 shared papers)Louis E. Schaefer (3 shared papers)Kai‐Ping Chang (11 shared papers)
- Journals
- Science (4 papers)Journal of Proteome Research (3 papers)Diabetes (2 papers)Circulation Research (2 papers)Head & Neck (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chun‐I Wang
49 papers receiving 829 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 120
- Otorhinolaryngology 25
- Molecular Biology 374
- Oncology 141
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by Chun‐I Wang
This map shows the geographic impact of Chun‐I 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 Chun‐I Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐I Wang more than expected).
Fields of papers citing papers by Chun‐I Wang
This network shows the impact of papers produced by Chun‐I 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 Chun‐I Wang. The network helps show where Chun‐I Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐I 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1955 | 81 | |
| 2 | 2012 | 75 | |
| 3 | 1972 | 60 | |
| 4 | 2009 | 57 | |
| 5 | 2007 | 53 | |
| 6 | 2011 | 49 | |
| 7 | 1992 | 43 | |
| 8 | 2017 | 42 | |
| 9 | 1955 | 35 | |
| 10 | 1956 | 33 | |
| 11 | 1956 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 1954 | 25 | |
| 14 | 2015 | 24 | |
| 15 | 2021 | 22 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 1955 | 14 | |
| 20 | 2016 | 14 |
About Chun‐I Wang
Chun‐I Wang is a scholar working on Otorhinolaryngology, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Human-Computer Interaction and Molecular Biology, having authored 50 papers that have together received 913 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Nuclear Structure and Function (7 papers), Ubiquitin and proteasome pathways (6 papers), RNA Research and Splicing (5 papers), Diet and metabolism studies (5 papers), Cystic Fibrosis Research Advances (4 papers), Cancer-related Molecular Pathways (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (120 citations), Otorhinolaryngology (25 citations), Molecular Biology (374 citations), Oncology (141 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Chun‐I Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include D. Adlersberg, Seymour R. Cohen, Chia‐Jung Yu, Yu‐Sun Chang, Jau‐Song Yu, Chih‐Liang Wang, Louis E. Schaefer, Kai‐Ping Chang, David K. Fukushima and Maxwell L. Eidinoff. Their work appears in journals such as Science, Journal of Proteome Research, Diabetes, Circulation Research and Head & Neck.
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.