Zhenlan Fu

803 citations
17 papers · 591 · 1 hit paper · h-index 7

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Zhenlan Fu

16 papers receiving 587 citations

Zhenlan Fu's Hit Papers

miR-100-5p-abundant exosomes derived from infrapatellar fat pad MSCs protect articular cartilage and ameliorate gait abnormalities via inhibition of mTOR in osteoarthritis 2019 · 427 citations
4270+2+4Years since publication100200300400

Peers

Zhenlan Fu
Comparison fields: 5 of 74
  • Rheumatology 288
  • Cancer Research 206
  • Genetics 93
  • Orthopedics and Sports Medicine 75
  • Urology 37
Replace Taotao Xu with:
Taotao Xu China
Liangbo Lin China
Bingjiang Xia China
Zenjiro Maruyama Japan
Chun-Wai Suen China
Shanxing Zhang China
Hemanth Akkiraju United States
Rina Andriamanalijaona France
Jana Riegger Germany
Zhenlan Fu relative to Taotao Xu China Taotao Xu's profile →
Citations per field
00.5×1.5×
Taotao Xu · 1×
Citations per year

Countries citing papers authored by Zhenlan Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Zhenlan Fu Line = papers co-authored together Zhenlan Fu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#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 →
2019427
2 202048
3 202031
4 202122
5 202113
6 202211
7 201811
8 20236
9 20196
10 20244
11 20243
12 20243
13 20242
14 20242
15 20211
16 20241
17 20250

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 591 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (13 papers), Mesenchymal stem cell research (4 papers), Periodontal Regeneration and Treatments (4 papers), Tendon Structure and Treatment (3 papers), Silk-based biomaterials and applications (3 papers), Extracellular vesicles in disease (2 papers), Macrophage Migration Inhibitory Factor (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Rheumatology (288 citations), Cancer Research (206 citations), Genetics (93 citations), Orthopedics and Sports Medicine (75 citations) and Urology (37 citations). Zhenlan Fu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Cheng Chen, Junjun Yang, Jiangyi Wu, Hao Chen, Liang Kuang, Weinan Zeng, Zhenhong Ni, Lin Chen, Liu Yang and Tao Li. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Molecular Biology Reports, Cartilage, ACS Biomaterials Science & Engineering and Nature 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.

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