Chun Pang
- Statistics, Probability and Uncertainty top 0.5%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- General Health Professions top 10%
- Economics and Econometrics top 10%
- Co-authors
- Chun Shing KwokLee HooperAlex J. SuttonJon J RyderCaroline HingFujian SongSusan ParekhI. Harvey
- Topics
- Glycosylation and Glycoproteins Research (2 papers)Gastrointestinal disorders and treatments (2 papers)Cardiac Imaging and Diagnostics (2 papers)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Chun Pang
30 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Statistics, Probability and Uncertainty 298
- Public Health, Environmental and Occupational Health 217
- Molecular Biology 149
- General Health Professions 127
- Economics and Econometrics 127
Countries citing papers authored by Chun Pang
This map shows the geographic impact of Chun Pang'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 Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Pang more than expected).
Fields of papers citing papers by Chun Pang
This network shows the impact of papers produced by Chun Pang. 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 Pang. The network helps show where Chun Pang may publish in the future.
Co-authorship network of co-authors of Chun Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Chun Pang. A scholar is included among the top collaborators of Chun Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun Pang. Chun Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 44 | |
| 9 | 34 | |
| 10 | 74 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | 5 | |
| 19 | Dissemination and publication of research findings: an updated review of related biasesbreakdown → | 715 |
| 20 | 39 |
About Chun Pang
Chun Pang is a scholar working on General Dentistry, Radiology, Nuclear Medicine and Imaging and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Gastrointestinal disorders and treatments (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (298 citations), Obstetrics and Gynecology (81 citations) and Health Informatics (11 citations). Chun Pang has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Chun Shing Kwok, Lee Hooper, Alex J. Sutton, Jon J Ryder, Caroline Hing, Fujian Song, Susan Parekh, I. Harvey, Yousef Shahin and Wenzhi Guo. Their work appears in journals such as Hepatology, Scientific Reports and Biochemical and Biophysical Research Communications.
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.