Su Ni
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Bone Metabolism and Diseases 3
- Rheumatology 11
- Osteoarthritis Treatment and Mechanisms 8
- Co-authors
- Chao Zhuang (9 shared papers)Kaisong Miao (5 shared papers)Nanwei Xu (5 shared papers)Yuji Wang (6 shared papers)Chenkai Li (6 shared papers)Dong Li (1 shared paper)Xianju Zhou (2 shared papers)André J. van Wijnen (4 shared papers)
- Journals
- Oxidative Medicine and Cellular Longevity (4 papers)International Journal of Biological Macromolecules (2 papers)Gene (2 papers)Arthritis Research & Therapy (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Su Ni
25 papers receiving 804 citations
Peers
Comparison fields: 5 of 97
- Rheumatology 217
- Cancer Research 142
- Biochemistry 44
- Molecular Biology 376
- Complementary and alternative medicine 44
Countries citing papers authored by Su Ni
This map shows the geographic impact of Su 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 Su Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Ni more than expected).
Fields of papers citing papers by Su Ni
This network shows the impact of papers produced by Su 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 Su Ni. The network helps show where Su Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Su 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 100 | |
| 2 | 2018 | 80 | |
| 3 | 2015 | 73 | |
| 4 | 2016 | 68 | |
| 5 | 2018 | 61 | |
| 6 | 2015 | 54 | |
| 7 | 2020 | 54 | |
| 8 | 2022 | 39 | |
| 9 | 2019 | 37 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 24 | |
| 12 | 2023 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2023 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2019 | 15 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 10 |
About Su Ni
Su Ni is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Biomedical Engineering and Pharmacology, having authored 25 papers that have together received 809 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Bone Tissue Engineering Materials (6 papers), Inflammatory mediators and NSAID effects (5 papers), Cancer-related molecular mechanisms research (4 papers), Traditional Chinese Medicine Analysis (4 papers), MicroRNA in disease regulation (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Rheumatology (217 citations), Cancer Research (142 citations), Biochemistry (44 citations), Molecular Biology (376 citations) and Complementary and alternative medicine (44 citations). Su Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chao Zhuang, Kaisong Miao, Nanwei Xu, Yuji Wang, Chenkai Li, Dong Li, Xianju Zhou, André J. van Wijnen, Zhicheng Yang and Ruixia Zhu. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, International Journal of Biological Macromolecules, Gene, Arthritis Research & Therapy and Scientific Reports.
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.