Pei‐Ching Chang
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 15
- Viral-associated cancers and disorders 13
-
- Cancer-related molecular mechanisms research 7
- Co-authors
- Mel Campbell (18 shared papers)James C. Liao (1 shared paper)Frederic Y.-H. Chen (1 shared paper)Tsan‐Yu Chiu (1 shared paper)Ethan I. Lan (1 shared paper)Sammy Pontrelli (1 shared paper)Jui‐Hung Shien (11 shared papers)H. K. Shieh (6 shared papers)
- Journals
- Scientific Reports (7 papers)Avian Pathology (7 papers)Avian Diseases (5 papers)Journal of Virology (5 papers)PLoS Pathogens (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Pei‐Ching Chang
76 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 145
- Animal Science and Zoology 251
- Cancer Research 256
- Epidemiology 578
- Oncology 400
- Infectious Diseases 283
Countries citing papers authored by Pei‐Ching Chang
This map shows the geographic impact of Pei‐Ching Chang'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 Pei‐Ching Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Ching Chang more than expected).
Fields of papers citing papers by Pei‐Ching Chang
This network shows the impact of papers produced by Pei‐Ching Chang. 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 Pei‐Ching Chang. The network helps show where Pei‐Ching Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Ching Chang, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 311 | |
| 2 | 2019 | 158 | |
| 3 | 2020 | 155 | |
| 4 | 2010 | 145 | |
| 5 | 2000 | 103 | |
| 6 | 1996 | 100 | |
| 7 | 2009 | 89 | |
| 8 | 2016 | 88 | |
| 9 | 2014 | 84 | |
| 10 | 2009 | 82 | |
| 11 | 2015 | 78 | |
| 12 | 2001 | 72 | |
| 13 | 2014 | 65 | |
| 14 | 2014 | 60 | |
| 15 | 2013 | 59 | |
| 16 | 2018 | 57 | |
| 17 | 1969 | 56 | |
| 18 | 2000 | 56 | |
| 19 | 2011 | 54 | |
| 20 | 2016 | 54 |
About Pei‐Ching Chang
Pei‐Ching Chang is a scholar working on Oncology, Cancer Research, Microbiology, Epidemiology and Animal Science and Zoology, having authored 78 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (13 papers), Cytomegalovirus and herpesvirus research (9 papers), Cancer-related molecular mechanisms research (7 papers), Microbial infections and disease research (7 papers), Animal Virus Infections Studies (7 papers), Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Animal Science and Zoology (251 citations), Cancer Research (256 citations), Epidemiology (578 citations), Oncology (400 citations) and Infectious Diseases (283 citations). Pei‐Ching Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mel Campbell, James C. Liao, Frederic Y.-H. Chen, Tsan‐Yu Chiu, Ethan I. Lan, Sammy Pontrelli, Jui‐Hung Shien, H. K. Shieh, A. Vania Apkarian and Hsing-Jien Kung. Their work appears in journals such as Scientific Reports, Avian Pathology, Avian Diseases, Journal of Virology and PLoS Pathogens.
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.