Ping Sun
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Glycosylation and Glycoproteins Research 14
- Microbial metabolism and enzyme function 5
-
- Plant Molecular Biology Research 6
- Co-authors
- Amy S. Paller (16 shared papers)Ke‐Jie Yin (13 shared papers)Xiao-Qi Wang (9 shared papers)Alastair M. Buchan (7 shared papers)Xiaoqi Wang (5 shared papers)Da Zhi Liu (1 shared paper)Glen C. Jickling (1 shared paper)Frank R. Sharp (1 shared paper)
- Journals
- Journal of Biological Chemistry (9 papers)Stroke (6 papers)Journal of Investigative Dermatology (6 papers)International Journal of Molecular Sciences (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ping Sun
109 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 537
- Neurology 248
- Immunology and Allergy 175
- Molecular Biology 1.5k
- Cell Biology 294
Countries citing papers authored by Ping Sun
This map shows the geographic impact of Ping Sun'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 Ping Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Sun more than expected).
Fields of papers citing papers by Ping Sun
This network shows the impact of papers produced by Ping Sun. 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 Ping Sun. The network helps show where Ping Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Sun, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 195 | |
| 2 | 2000 | 132 | |
| 3 | 2020 | 116 | |
| 4 | 2015 | 109 | |
| 5 | 2003 | 90 | |
| 6 | 2007 | 81 | |
| 7 | 2003 | 78 | |
| 8 | 2002 | 72 | |
| 9 | 2017 | 72 | |
| 10 | 2018 | 71 | |
| 11 | 2001 | 64 | |
| 12 | 2001 | 64 | |
| 13 | 2001 | 63 | |
| 14 | 2007 | 62 | |
| 15 | 2001 | 61 | |
| 16 | 2020 | 53 | |
| 17 | 2022 | 47 | |
| 18 | 2001 | 41 | |
| 19 | 2021 | 41 | |
| 20 | 2003 | 40 |
About Ping Sun
Ping Sun is a scholar working on Molecular Biology, Plant Science, Cancer Research, Cell Biology and Immunology and Allergy, having authored 111 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Cell Adhesion Molecules Research (11 papers), Cancer-related molecular mechanisms research (7 papers), Neurological Disease Mechanisms and Treatments (7 papers), Plant Molecular Biology Research (6 papers), MicroRNA in disease regulation (6 papers), Microbial metabolism and enzyme function (5 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Cancer Research (537 citations), Neurology (248 citations), Immunology and Allergy (175 citations), Molecular Biology (1.5k citations) and Cell Biology (294 citations). Ping Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Amy S. Paller, Ke‐Jie Yin, Xiao-Qi Wang, Alastair M. Buchan, Xiaoqi Wang, Da Zhi Liu, Glen C. Jickling, Frank R. Sharp, Milton H. Hamblin and Xuejing Zhang. Their work appears in journals such as Journal of Biological Chemistry, Stroke, Journal of Investigative Dermatology, International Journal of Molecular Sciences and PLoS ONE.
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.