Jun-sheng Ni
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- RNA modifications and cancer 8
- Circular RNAs in diseases 4
- Cancer-related gene regulation 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Weiping Zhou (12 shared papers)Yuan Yang (8 shared papers)Zhenguang Wang (5 shared papers)Hao Zheng (2 shared papers)Yonggang Hong (3 shared papers)Hongli Yan (3 shared papers)Ze‐Ya Pan (6 shared papers)Zhiping Huang (2 shared papers)
- Journals
- Surgical Oncology (3 papers)Oncotarget (2 papers)Biological Research (2 papers)Scientific Reports (1 paper)IEEE Wireless Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun-sheng Ni
26 papers receiving 482 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 206
- Hepatology 54
- Molecular Biology 335
- Biomaterials 52
- Oncology 74
Countries citing papers authored by Jun-sheng Ni
This map shows the geographic impact of Jun-sheng Ni'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 Jun-sheng Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-sheng Ni more than expected).
Fields of papers citing papers by Jun-sheng Ni
This network shows the impact of papers produced by Jun-sheng Ni. 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 Jun-sheng Ni. The network helps show where Jun-sheng Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-sheng Ni, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2017 | 42 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 38 | |
| 5 | 2014 | 37 | |
| 6 | 2019 | 34 | |
| 7 | 2022 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2013 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2014 | 21 | |
| 13 | 2023 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 2019 | 14 | |
| 16 | 2016 | 11 | |
| 17 | 2018 | 8 | |
| 18 | SnoRNAs as tools for RNA cleavage and modification. | 1997 | 6 |
| 19 | 2024 | 5 | |
| 20 | 2021 | 4 |
About Jun-sheng Ni
Jun-sheng Ni is a scholar working on Molecular Biology, Cancer Research, Oncology, Hepatology and Surgery, having authored 28 papers that have together received 484 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Circular RNAs in diseases (4 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (206 citations), Hepatology (54 citations), Molecular Biology (335 citations), Biomaterials (52 citations) and Oncology (74 citations). Jun-sheng Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weiping Zhou, Yuan Yang, Zhenguang Wang, Hao Zheng, Yonggang Hong, Hongli Yan, Ze‐Ya Pan, Zhiping Huang, Zhangwei Yang and Dandan Bao. Their work appears in journals such as Surgical Oncology, Oncotarget, Biological Research, Scientific Reports and IEEE Wireless 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.