Su Ni
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
-
- Cancer-related molecular mechanisms research
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Circular RNAs in diseases 2
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- Osteoarthritis Treatment and Mechanisms 6
- Co-authors
- Chao Zhuang (9 shared papers)Kaisong Miao (5 shared papers)Yuji Wang (6 shared papers)Nanwei Xu (5 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)Arthritis Research & Therapy (2 papers)Gene (2 papers)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Su Ni
25 papers receiving 839 citations
Peers
Comparison fields: 5 of 91
- Rheumatology 198
- Cancer Research 113
- Biochemistry 42
- Molecular Biology 343
- Complementary and alternative medicine 36
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 | 102 | |
| 2 | 2018 | 84 | |
| 3 | 2015 | 76 | |
| 4 | 2016 | 70 | |
| 5 | 2018 | 62 | |
| 6 | 2015 | 57 | |
| 7 | 2020 | 55 | |
| 8 | 2022 | 40 | |
| 9 | 2019 | 38 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 25 | |
| 12 | 2023 | 25 | |
| 13 | 2023 | 24 | |
| 14 | 2024 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2022 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 15 | |
| 19 | 2023 | 12 | |
| 20 | 2020 | 12 |
About Su Ni
Su Ni is a scholar working on Molecular Biology, Rheumatology, Biomedical Engineering, Biomaterials and Pharmacology, having authored 25 papers that have together received 846 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Bone Tissue Engineering Materials (6 papers), Inflammatory mediators and NSAID effects (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers), Magnesium Alloys: Properties and Applications (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Rheumatology (198 citations), Cancer Research (113 citations), Biochemistry (42 citations), Molecular Biology (343 citations) and Complementary and alternative medicine (36 citations). Su Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chao Zhuang, Kaisong Miao, Yuji Wang, Nanwei Xu, Chenkai Li, Dong Li, Xianju Zhou, André J. van Wijnen, Ruixia Zhu and Zhicheng Yang. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, International Journal of Biological Macromolecules, Arthritis Research & Therapy, Gene and Cell Research.
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.