Jing Sui
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
Papers in
-
- RNA modifications and cancer 16
- Circular RNAs in diseases 11
-
- Cancer-related molecular mechanisms research 26
- MicroRNA in disease regulation 9
- Co-authors
- Geyu Liang (25 shared papers)Yuepu Pu (17 shared papers)Lihong Yin (15 shared papers)Siyi Xu (17 shared papers)Sheng Yang (19 shared papers)Xian Shen (7 shared papers)Chengyun Li (9 shared papers)Wenzhuo Yao (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)Cancer Medicine (4 papers)Journal of Cellular Biochemistry (4 papers)Oncology Reports (4 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Jing Sui
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 726
- Molecular Biology 850
- Epidemiology 209
- Endocrinology, Diabetes and Metabolism 99
- Hepatology 39
Countries citing papers authored by Jing Sui
This map shows the geographic impact of Jing Sui'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 Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Sui more than expected).
Fields of papers citing papers by Jing Sui
This network shows the impact of papers produced by Jing Sui. 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 Sui. The network helps show where Jing Sui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Sui, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 112 | |
| 2 | 2016 | 106 | |
| 3 | 2019 | 102 | |
| 4 | 2018 | 84 | |
| 5 | 2019 | 81 | |
| 6 | 2017 | 55 | |
| 7 | 2019 | 53 | |
| 8 | 2017 | 53 | |
| 9 | 2016 | 51 | |
| 10 | 2020 | 50 | |
| 11 | 2019 | 46 | |
| 12 | 2019 | 42 | |
| 13 | 2017 | 42 | |
| 14 | 2020 | 39 | |
| 15 | 2020 | 39 | |
| 16 | 2014 | 37 | |
| 17 | 2021 | 37 | |
| 18 | 2019 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2017 | 34 |
About Jing Sui
Jing Sui is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Pollution, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (16 papers), Circular RNAs in diseases (11 papers), Liver Disease Diagnosis and Treatment (9 papers), MicroRNA in disease regulation (9 papers), Nutritional Studies and Diet (7 papers), Antioxidant Activity and Oxidative Stress (6 papers) and Pesticide and Herbicide Environmental Studies (5 papers). The work is most often cited by research in Cancer Research (726 citations), Molecular Biology (850 citations), Epidemiology (209 citations), Endocrinology, Diabetes and Metabolism (99 citations) and Hepatology (39 citations). Jing Sui has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Geyu Liang, Yuepu Pu, Lihong Yin, Siyi Xu, Sheng Yang, Xian Shen, Chengyun Li, Wenzhuo Yao, Yanqiu Zhang and Wanshui Yang. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Medicine, Journal of Cellular Biochemistry, Oncology Reports and International Journal of Molecular 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.