Kai Nan
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone and Joint Diseases
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- Rheumatoid Arthritis Research and Therapies
Papers in
- Oncology 5
- Clusterin in disease pathology 2
- Bone health and treatments 2
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- Rheumatoid Arthritis Research and Therapies 2
- Systemic Lupus Erythematosus Research 2
- Co-authors
- Xiaoqian Dang (7 shared papers)Lihong Fan (5 shared papers)Kunzheng Wang (2 shared papers)Jun‐Peng Pei (2 shared papers)Zhaopu Jing (4 shared papers)Jia Li (1 shared paper)Jialin Liang (3 shared papers)Guangyang Zhang (3 shared papers)
- Journals
- Frontiers in Endocrinology (2 papers)Journal of Clinical Medicine (2 papers)Lipids in Health and Disease (2 papers)The Journal of Knee Surgery (1 paper)Scientific Reports (1 paper)
- Partner nations
- China
In The Last Decade
Kai Nan
15 papers receiving 306 citations
Kai Nan's Hit Papers
Peers
Comparison fields: 5 of 85
- Orthopedics and Sports Medicine 66
- Rheumatology 49
- Cancer Research 38
- Neurology 19
- Pathology and Forensic Medicine 36
Countries citing papers authored by Kai Nan
This map shows the geographic impact of Kai Nan'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 Kai Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Nan more than expected).
Fields of papers citing papers by Kai Nan
This network shows the impact of papers produced by Kai Nan. 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 Kai Nan. The network helps show where Kai Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Nan, 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 | 2017 | 76 | |
| 2 | The Burden of Rheumatoid Arthritis: Findings from the 2019 Global Burden of Diseases Study and Forecasts for 2030 by Bayesian Age-Period-Cohort Analysis Hit paper breakdown → | 2023 | 75 |
| 3 | 2021 | 56 | |
| 4 | 2017 | 36 | |
| 5 | 2021 | 18 | |
| 6 | 2015 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 0 |
About Kai Nan
Kai Nan is a scholar working on Oncology, Rheumatology, Orthopedics and Sports Medicine, Infectious Diseases and Surgery, having authored 16 papers that have together received 309 indexed citations. Recurring topics across this work include Bone and Joint Diseases (3 papers), Tuberculosis Research and Epidemiology (2 papers), Clusterin in disease pathology (2 papers), Genetic Associations and Epidemiology (2 papers), Bone health and treatments (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Biomarkers in Disease Mechanisms (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (66 citations), Rheumatology (49 citations), Cancer Research (38 citations), Neurology (19 citations) and Pathology and Forensic Medicine (36 citations). Kai Nan has collaborated with scholars based in China. Frequent co-authors include Xiaoqian Dang, Lihong Fan, Kunzheng Wang, Jun‐Peng Pei, Zhaopu Jing, Jia Li, Jialin Liang, Guangyang Zhang, Leifeng Lv and Jianan Zhang. Their work appears in journals such as Frontiers in Endocrinology, Journal of Clinical Medicine, Lipids in Health and Disease, The Journal of Knee Surgery and Scientific Reports.
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.