Jing Sun
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Prion Diseases and Protein Misfolding 13
- RNA regulation and disease 6
- RNA Interference and Gene Delivery 5
- Plant Gene Expression Analysis 5
- Epidemiology 20
- Autophagy in Disease and Therapy 13
- Co-authors
- Xiulong Xu (23 shared papers)Jun Tao (7 shared papers)Laura E. Benjamin (2 shared papers)Richard A. Prinz (12 shared papers)Jiasong Meng (2 shared papers)Daqiu Zhao (6 shared papers)Irit Adini (1 shared paper)Isaac Rabinovitz (1 shared paper)
- Journals
- Molecular Neurobiology (5 papers)Virology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Molecular Neuroscience (3 papers)Veterinary Sciences (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Sun
116 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Sensory Systems 144
- Cancer Research 375
- Molecular Biology 1.4k
- Immunology 249
- Neurology 89
Countries citing papers authored by Jing Sun
This map shows the geographic impact of Jing 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 Jing Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Sun more than expected).
Fields of papers citing papers by Jing Sun
This network shows the impact of papers produced by Jing 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 Jing Sun. The network helps show where Jing Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 147 | |
| 2 | 2011 | 138 | |
| 3 | 2020 | 132 | |
| 4 | 2004 | 123 | |
| 5 | 2013 | 110 | |
| 6 | 2011 | 109 | |
| 7 | 2009 | 86 | |
| 8 | 2021 | 74 | |
| 9 | 2012 | 64 | |
| 10 | 2014 | 58 | |
| 11 | 2018 | 58 | |
| 12 | 2019 | 57 | |
| 13 | 2011 | 51 | |
| 14 | 2018 | 47 | |
| 15 | 2018 | 44 | |
| 16 | 2018 | 43 | |
| 17 | 2019 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2021 | 37 | |
| 20 | 2018 | 36 |
About Jing Sun
Jing Sun is a scholar working on Molecular Biology, Epidemiology, Plant Science, Immunology and Cancer Research, having authored 126 papers that have together received 2.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Prion Diseases and Protein Misfolding (13 papers), interferon and immune responses (8 papers), RNA regulation and disease (6 papers), RNA Interference and Gene Delivery (5 papers), Plant Molecular Biology Research (5 papers), Plant Gene Expression Analysis (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Sensory Systems (144 citations), Cancer Research (375 citations), Molecular Biology (1.4k citations), Immunology (249 citations) and Neurology (89 citations). Jing Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiulong Xu, Jun Tao, Laura E. Benjamin, Richard A. Prinz, Jiasong Meng, Daqiu Zhao, Irit Adini, Isaac Rabinovitz, George C. Prendergast and Keliang Zhang. Their work appears in journals such as Molecular Neurobiology, Virology, Biochemical and Biophysical Research Communications, Journal of Molecular Neuroscience and Veterinary Sciences.
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.