Zhenlan Fu
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Rheumatology 12
- Osteoarthritis Treatment and Mechanisms 11
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- Natural product bioactivities and synthesis 1
- Extracellular vesicles in disease 1
- Co-authors
- Cheng Chen (10 shared papers)Junjun Yang (10 shared papers)Jiangyi Wu (3 shared papers)Liu Yang (1 shared paper)Zhenhong Ni (1 shared paper)Liang Kuang (1 shared paper)Jiamiao Li (1 shared paper)Shu Huang (1 shared paper)
- Journals
- Molecular Biology Reports (2 papers)Frontiers in Bioengineering and Biotechnology (2 papers)Stem Cell Research & Therapy (1 paper)The American Journal of Sports Medicine (1 paper)Arthritis Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Zhenlan Fu
17 papers receiving 619 citations
Zhenlan Fu's Hit Papers
Peers
Comparison fields: 5 of 72
- Rheumatology 259
- Cancer Research 180
- Genetics 85
- Orthopedics and Sports Medicine 66
- Urology 31
Countries citing papers authored by Zhenlan Fu
This map shows the geographic impact of Zhenlan Fu'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 Zhenlan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenlan Fu more than expected).
Fields of papers citing papers by Zhenlan Fu
This network shows the impact of papers produced by Zhenlan Fu. 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 Zhenlan Fu. The network helps show where Zhenlan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenlan Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | miR-100-5p-abundant exosomes derived from infrapatellar fat pad MSCs protect articular cartilage and ameliorate gait abnormalities via inhibition of mTOR in osteoarthritis Hit paper breakdown → | 2019 | 448 |
| 2 | 2020 | 52 | |
| 3 | 2020 | 33 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 14 | |
| 6 | 2018 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 8 | |
| 9 | 2019 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 |
About Zhenlan Fu
Zhenlan Fu is a scholar working on Rheumatology, Molecular Biology, Genetics, Urology and Biomaterials, having authored 17 papers that have together received 623 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (11 papers), Periodontal Regeneration and Treatments (3 papers), Silk-based biomaterials and applications (3 papers), Mesenchymal stem cell research (3 papers), Tendon Structure and Treatment (3 papers), Medical Imaging and Pathology Studies (1 paper), Natural product bioactivities and synthesis (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Rheumatology (259 citations), Cancer Research (180 citations), Genetics (85 citations), Orthopedics and Sports Medicine (66 citations) and Urology (31 citations). Zhenlan Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Cheng Chen, Junjun Yang, Jiangyi Wu, Liu Yang, Zhenhong Ni, Liang Kuang, Jiamiao Li, Shu Huang, Tao Li and Hao Chen. Their work appears in journals such as Molecular Biology Reports, Frontiers in Bioengineering and Biotechnology, Stem Cell Research & Therapy, The American Journal of Sports Medicine and Arthritis Research & Therapy.
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.