Zhongyang Lv
Impact in
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
Papers in
- Rheumatology 17
- Osteoarthritis Treatment and Mechanisms 17
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- Circular RNAs in diseases 3
- Co-authors
- Dongquan Shi (25 shared papers)Ziying Sun (23 shared papers)Rui Wu (20 shared papers)Qing Jiang (16 shared papers)Kuoyang Sun (9 shared papers)Xingquan Xu (16 shared papers)Hu Guo (13 shared papers)Shiro Ikegawa (6 shared papers)
- Journals
- Journal of Orthopaedic Translation (7 papers)Small (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Bioactive Materials (2 papers)Acta Pharmacologica Sinica (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Zhongyang Lv
38 papers receiving 1.2k citations
Zhongyang Lv's Hit Papers
Peers
Comparison fields: 5 of 107
- Rheumatology 357
- Orthopedics and Sports Medicine 94
- Sensory Systems 47
- Pharmaceutical Science 44
- Cancer Research 104
Countries citing papers authored by Zhongyang Lv
This map shows the geographic impact of Zhongyang Lv'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 Zhongyang Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongyang Lv more than expected).
Fields of papers citing papers by Zhongyang Lv
This network shows the impact of papers produced by Zhongyang Lv. 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 Zhongyang Lv. The network helps show where Zhongyang Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhongyang Lv, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TRPV1 alleviates osteoarthritis by inhibiting M1 macrophage polarization via Ca2+/CaMKII/Nrf2 signaling pathway Hit paper breakdown → | 2021 | 180 |
| 2 | 2018 | 153 | |
| 3 | 2021 | 129 | |
| 4 | 2021 | 66 | |
| 5 | 2021 | 62 | |
| 6 | 2021 | 60 | |
| 7 | 2021 | 55 | |
| 8 | 2022 | 50 | |
| 9 | 2022 | 46 | |
| 10 | 2022 | 46 | |
| 11 | 2020 | 45 | |
| 12 | 2022 | 44 | |
| 13 | 2021 | 38 | |
| 14 | 2024 | 35 | |
| 15 | 2022 | 29 | |
| 16 | 2024 | 26 | |
| 17 | 2022 | 26 | |
| 18 | 2024 | 23 | |
| 19 | 2021 | 23 | |
| 20 | 2021 | 20 |
About Zhongyang Lv
Zhongyang Lv is a scholar working on Rheumatology, Molecular Biology, Cancer Research, Materials Chemistry and Surgery, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (17 papers), MXene and MAX Phase Materials (5 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer-related molecular mechanisms research (4 papers), Inflammatory mediators and NSAID effects (4 papers), Circular RNAs in diseases (3 papers), Tendon Structure and Treatment (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Rheumatology (357 citations), Orthopedics and Sports Medicine (94 citations), Sensory Systems (47 citations), Pharmaceutical Science (44 citations) and Cancer Research (104 citations). Zhongyang Lv has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Dongquan Shi, Ziying Sun, Rui Wu, Qing Jiang, Kuoyang Sun, Xingquan Xu, Hu Guo, Shiro Ikegawa, Yizhang Wu and Huiming Jiang. Their work appears in journals such as Journal of Orthopaedic Translation, Small, Frontiers in Cell and Developmental Biology, Bioactive Materials and Acta Pharmacologica Sinica.
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.