Kun‐Chi Wu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
- Rheumatology 10
- Osteoarthritis Treatment and Mechanisms 10
- Genetics 9
- Mesenchymal stem cell research 8
- Co-authors
- Dah‐Ching Ding (24 shared papers)Yu‐Hsun Chang (13 shared papers)Hwan-Wun Liu (4 shared papers)Chun‐Ling Lin (1 shared paper)Tang‐Yuan Chu (2 shared papers)Wei‐Ting Hung (1 shared paper)Shinn‐Zong Lin (2 shared papers)Yu-Hsun Chang (5 shared papers)
- Journals
- Cell Transplantation (5 papers)Cells (3 papers)International Journal of Molecular Sciences (3 papers)BMC Bioinformatics (1 paper)PLoS ONE (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Kun‐Chi Wu
25 papers receiving 360 citations
Peers
Comparison fields: 5 of 59
- Genetics 117
- Rheumatology 135
- Urology 54
- Health Information Management 30
- Radiology, Nuclear Medicine and Imaging 54
Countries citing papers authored by Kun‐Chi Wu
This map shows the geographic impact of Kun‐Chi Wu'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‐Chi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Chi Wu more than expected).
Fields of papers citing papers by Kun‐Chi Wu
This network shows the impact of papers produced by Kun‐Chi Wu. 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‐Chi Wu. The network helps show where Kun‐Chi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Chi Wu, 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 | 2023 | 67 | |
| 2 | 2016 | 52 | |
| 3 | 2014 | 42 | |
| 4 | 2018 | 38 | |
| 5 | 2020 | 28 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2012 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2012 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2008 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2013 | 4 |
About Kun‐Chi Wu
Kun‐Chi Wu is a scholar working on Rheumatology, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 27 papers that have together received 365 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (10 papers), Mesenchymal stem cell research (8 papers), Cancer Cells and Metastasis (4 papers), Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers), Periodontal Regeneration and Treatments (4 papers), Ovarian cancer diagnosis and treatment (2 papers) and Shoulder and Clavicle Injuries (2 papers). The work is most often cited by research in Genetics (117 citations), Rheumatology (135 citations), Urology (54 citations), Health Information Management (30 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Kun‐Chi Wu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Dah‐Ching Ding, Yu‐Hsun Chang, Hwan-Wun Liu, Chun‐Ling Lin, Tang‐Yuan Chu, Wei‐Ting Hung, Shinn‐Zong Lin, Yu-Hsun Chang, Tomor Harnod and Kuang‐Ting Yeh. Their work appears in journals such as Cell Transplantation, Cells, International Journal of Molecular Sciences, BMC Bioinformatics and PLoS ONE.
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.