Jing Pang
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Economics and Econometrics top 2%
- Co-authors
- Gerald F. WattsDick C. ChanDamon A. BellJohn R. BurnettP. Hugh R. BarrettAmanda J. HooperFrank M. van BockxmeerTimothy R. Bates
- Topics
- Lipoproteins and Cardiovascular Health (107 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers)Health Systems, Economic Evaluations, Quality of Life (33 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoJournal of the American College of Cardiology
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Jing Pang
165 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 155
- Surgery 1.7k
- Endocrinology, Diabetes and Metabolism 670
- Cancer Research 587
- Cardiology and Cardiovascular Medicine 500
- Economics and Econometrics 499
Countries citing papers authored by Jing Pang
This map shows the geographic impact of Jing 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 Jing Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Pang more than expected).
Fields of papers citing papers by Jing Pang
This network shows the impact of papers produced by Jing 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 Jing Pang. The network helps show where Jing Pang may publish in the future.
Co-authorship network of co-authors of Jing Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Pang. A scholar is included among the top collaborators of Jing 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 Jing Pang. Jing 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 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 11 | |
| 20 | 11 |
About Jing Pang
Jing Pang is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 173 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (107 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers) and Health Systems, Economic Evaluations, Quality of Life (33 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (670 citations), Cancer Research (587 citations) and Surgery (1.7k citations). Jing Pang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Gerald F. Watts, Dick C. Chan, Damon A. Bell, John R. Burnett, P. Hugh R. Barrett, Amanda J. Hooper, Frank M. van Bockxmeer, Timothy R. Bates, David Sullivan and Feng Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of the American College of Cardiology.
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.