Kun Fu
Impact in
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- Parathyroid Disorders and Treatments
Papers in
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- Silk-based biomaterials and applications 2
- biodegradable polymer synthesis and properties 2
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- Fibroblast Growth Factor Research 3
- Co-authors
- Zhidao Xia (5 shared papers)Jinghua Liu (7 shared papers)Patrick Ho (1 shared paper)James T. Triffitt (2 shared papers)J.W.M. Lawton (1 shared paper)Jan T. Czernuszka (3 shared papers)Grace Tang (1 shared paper)Qingguo Xu (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)CNS & Neurological Disorders - Drug Targets (1 paper)3D Printing and Additive Manufacturing (1 paper)Respiration (1 paper)Biomedical Materials (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kun Fu
26 papers receiving 380 citations
Peers
Comparison fields: 5 of 73
- Nephrology 32
- Biomaterials 56
- Rehabilitation 23
- Genetics 31
- Rheumatology 37
Countries citing papers authored by Kun Fu
This map shows the geographic impact of Kun 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 Kun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fu more than expected).
Fields of papers citing papers by Kun Fu
This network shows the impact of papers produced by Kun 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 Kun Fu. The network helps show where Kun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 53 | |
| 2 | Immunologic studies in patients with premature ovarian failure. | 1988 | 43 |
| 3 | 2013 | 39 | |
| 4 | 2017 | 31 | |
| 5 | 2020 | 27 | |
| 6 | 2015 | 25 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2009 | 12 | |
| 14 | 2019 | 11 | |
| 15 | A simple score for predicting renal artery stenosis in patients with ischemic heart disease. | 2015 | 5 |
| 16 | 2002 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2017 | 4 |
About Kun Fu
Kun Fu is a scholar working on Biomaterials, Molecular Biology, Biomedical Engineering, Nephrology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 385 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (5 papers), Parathyroid Disorders and Treatments (4 papers), Fibroblast Growth Factor Research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Silk-based biomaterials and applications (2 papers), Connective tissue disorders research (2 papers), biodegradable polymer synthesis and properties (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Nephrology (32 citations), Biomaterials (56 citations), Rehabilitation (23 citations), Genetics (31 citations) and Rheumatology (37 citations). Kun Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhidao Xia, Jinghua Liu, Patrick Ho, James T. Triffitt, J.W.M. Lawton, Jan T. Czernuszka, Grace Tang, Qingguo Xu, Liang Huang and Lijun Zheng. Their work appears in journals such as Biochemical and Biophysical Research Communications, CNS & Neurological Disorders - Drug Targets, 3D Printing and Additive Manufacturing, Respiration and Biomedical Materials.
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.