Chih‐Ching Wu
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 11
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 7
- Oncology 22
- Peptidase Inhibition and Analysis 9
- Co-authors
- Jau‐Song Yu (47 shared papers)Yu‐Sun Chang (40 shared papers)Kai‐Ping Chang (30 shared papers)Chia‐Wei Hsu (22 shared papers)Hao‐Ping Liu (23 shared papers)F-K P'eng (6 shared papers)Liu Tj (4 shared papers)Yi‐Ting Chen (14 shared papers)
- Journals
- Journal of Proteome Research (14 papers)Molecular & Cellular Proteomics (10 papers)PROTEOMICS (9 papers)British journal of surgery (6 papers)Psychoneuroendocrinology (4 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chih‐Ching Wu
152 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 152
- Hepatology 448
- Cancer Research 600
- Otorhinolaryngology 141
- Spectroscopy 578
- Periodontics 125
Countries citing papers authored by Chih‐Ching Wu
This map shows the geographic impact of Chih‐Ching Wu'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 Chih‐Ching Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Ching Wu more than expected).
Fields of papers citing papers by Chih‐Ching Wu
This network shows the impact of papers produced by Chih‐Ching Wu. 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 Chih‐Ching Wu. The network helps show where Chih‐Ching Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih‐Ching Wu, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 186 | |
| 2 | 2003 | 185 | |
| 3 | 2012 | 184 | |
| 4 | 2010 | 181 | |
| 5 | 2003 | 140 | |
| 6 | 2010 | 131 | |
| 7 | 2012 | 128 | |
| 8 | 2010 | 111 | |
| 9 | 2008 | 111 | |
| 10 | 2005 | 93 | |
| 11 | 2013 | 93 | |
| 12 | 2015 | 92 | |
| 13 | 2005 | 91 | |
| 14 | 1996 | 91 | |
| 15 | 2006 | 74 | |
| 16 | 2019 | 73 | |
| 17 | 2009 | 69 | |
| 18 | 2016 | 68 | |
| 19 | 2011 | 64 | |
| 20 | 2009 | 64 |
About Chih‐Ching Wu
Chih‐Ching Wu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Physiology, having authored 157 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), RNA modifications and cancer (11 papers), Peptidase Inhibition and Analysis (9 papers), RNA Research and Splicing (8 papers), interferon and immune responses (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Salivary Gland Disorders and Functions (7 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Hepatology (448 citations), Cancer Research (600 citations), Otorhinolaryngology (141 citations), Spectroscopy (578 citations) and Periodontics (125 citations). Chih‐Ching Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Jau‐Song Yu, Yu‐Sun Chang, Kai‐Ping Chang, Chia‐Wei Hsu, Hao‐Ping Liu, F-K P'eng, Liu Tj, Yi‐Ting Chen, Chia‐Jung Yu and Chi-De Chen. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, PROTEOMICS, British journal of surgery and Psychoneuroendocrinology.
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.