Chun‐I Wang
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Otorhinolaryngology top 10%
Papers in
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- Nuclear Structure and Function 7
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- Ubiquitin and proteasome pathways 5
- Mitochondrial Function and Pathology 3
- Co-authors
- David Adlersberg (14 shared papers)Seymour R. Cohen (1 shared paper)Chia‐Jung Yu (9 shared papers)Yu‐Sun Chang (8 shared papers)Chih‐Liang Wang (8 shared papers)Jau‐Song Yu (7 shared papers)Louis E. Schaefer (3 shared papers)Kai‐Ping Chang (11 shared papers)
- Journals
- Science (4 papers)Journal of Proteome Research (3 papers)International Journal of Molecular Sciences (2 papers)Diabetes (2 papers)Circulation Research (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chun‐I Wang
49 papers receiving 872 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 115
- Otorhinolaryngology 26
- Endocrinology, Diabetes and Metabolism 86
- Molecular Biology 364
- Oncology 122
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1955 | 87 | |
| 2 | 2012 | 81 | |
| 3 | 1972 | 66 | |
| 4 | 2009 | 60 | |
| 5 | 2007 | 55 | |
| 6 | 2011 | 51 | |
| 7 | 1955 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 1954 | 35 | |
| 10 | 1956 | 35 | |
| 11 | 2021 | 28 | |
| 12 | 1956 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 1955 | 21 | |
| 16 | 2019 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 1954 | 15 |
About Chun‐I Wang
Chun‐I Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Oncology and Otorhinolaryngology, having authored 51 papers that have together received 986 indexed citations. Recurring topics across this work include Nuclear Structure and Function (7 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (5 papers), Diet and metabolism studies (5 papers), Cystic Fibrosis Research Advances (4 papers), Head and Neck Cancer Studies (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (115 citations), Otorhinolaryngology (26 citations), Endocrinology, Diabetes and Metabolism (86 citations), Molecular Biology (364 citations) and Oncology (122 citations). Chun‐I Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include David Adlersberg, Seymour R. Cohen, Chia‐Jung Yu, Yu‐Sun Chang, Chih‐Liang Wang, Jau‐Song Yu, Louis E. Schaefer, Kai‐Ping Chang, Yenlin Huang and Chih‐Ching Wu. Their work appears in journals such as Science, Journal of Proteome Research, International Journal of Molecular Sciences, Diabetes and Circulation 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.