Fangda Fu
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
- Spondyloarthritis Studies and Treatments
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
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- Inflammasome and immune disorders 6
- Bone Metabolism and Diseases 5
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- Osteoarthritis Treatment and Mechanisms 3
- Co-authors
- Hongfeng Ruan (22 shared papers)Chengliang Wu (21 shared papers)Sai Yao (14 shared papers)Hongting Jin (16 shared papers)Peijian Tong (8 shared papers)Weibin Du (7 shared papers)Huan Yu (5 shared papers)Di Chen (4 shared papers)
- Journals
- Journal of Inflammation Research (5 papers)Frontiers in Immunology (2 papers)Polymers (2 papers)International Immunopharmacology (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Fangda Fu
23 papers receiving 518 citations
Peers
Comparison fields: 5 of 89
- Rheumatology 129
- Nephrology 60
- Pathology and Forensic Medicine 104
- Pharmacology 82
- Orthopedics and Sports Medicine 36
Countries citing papers authored by Fangda Fu
This map shows the geographic impact of Fangda 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 Fangda Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangda Fu more than expected).
Fields of papers citing papers by Fangda Fu
This network shows the impact of papers produced by Fangda 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 Fangda Fu. The network helps show where Fangda Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangda 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2020 | 92 | |
| 3 | 2021 | 51 | |
| 4 | 2019 | 41 | |
| 5 | 2022 | 32 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 29 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 3 |
About Fangda Fu
Fangda Fu is a scholar working on Molecular Biology, Rheumatology, Pathology and Forensic Medicine, Immunology and Pharmacology, having authored 26 papers that have together received 521 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (6 papers), Inflammasome and immune disorders (6 papers), Bone Metabolism and Diseases (5 papers), Biomarkers in Disease Mechanisms (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Pregnancy-related medical research (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). The work is most often cited by research in Rheumatology (129 citations), Nephrology (60 citations), Pathology and Forensic Medicine (104 citations), Pharmacology (82 citations) and Orthopedics and Sports Medicine (36 citations). Fangda Fu has collaborated with scholars based in China and United States. Frequent co-authors include Hongfeng Ruan, Chengliang Wu, Sai Yao, Hongting Jin, Peijian Tong, Weibin Du, Huan Yu, Di Chen, Huan Luo and Yuying Chen. Their work appears in journals such as Journal of Inflammation Research, Frontiers in Immunology, Polymers, International Immunopharmacology and Journal of Ethnopharmacology.
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.