Kai Hang
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Bone Metabolism and Diseases
- Extracellular vesicles in disease
Papers in
- Genetics 9
- Mesenchymal stem cell research 9
-
- Bone Metabolism and Diseases 11
- Co-authors
- Chenyi Ye (7 shared papers)Deting Xue (12 shared papers)Erman Chen (6 shared papers)Zhijun Pan (10 shared papers)Rongxin He (3 shared papers)Qianhai Ding (3 shared papers)Weiduo Hou (3 shared papers)Lan Fang Tang (3 shared papers)
- Journals
- Stem Cell Research & Therapy (4 papers)The FASEB Journal (3 papers)Cell Death and Disease (2 papers)Journal of Molecular Medicine (1 paper)Aging (1 paper)
- Partner nations
- China
In The Last Decade
Kai Hang
21 papers receiving 398 citations
Peers
Comparison fields: 5 of 65
- Genetics 74
- Molecular Biology 168
- Pharmacology 23
- Orthopedics and Sports Medicine 20
- Biomedical Engineering 72
Countries citing papers authored by Kai Hang
This map shows the geographic impact of Kai Hang'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 Hang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hang more than expected).
Fields of papers citing papers by Kai Hang
This network shows the impact of papers produced by Kai Hang. 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 Hang. The network helps show where Kai Hang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2019 | 55 | |
| 3 | 2018 | 40 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 32 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 2 |
About Kai Hang
Kai Hang is a scholar working on Genetics, Molecular Biology, Pharmacology, Biomedical Engineering and Rheumatology, having authored 21 papers that have together received 403 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (11 papers), Mesenchymal stem cell research (9 papers), Bone Tissue Engineering Materials (4 papers), Spine and Intervertebral Disc Pathology (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Autophagy in Disease and Therapy (2 papers), Telomeres, Telomerase, and Senescence (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Genetics (74 citations), Molecular Biology (168 citations), Pharmacology (23 citations), Orthopedics and Sports Medicine (20 citations) and Biomedical Engineering (72 citations). Kai Hang has collaborated with scholars based in China. Frequent co-authors include Chenyi Ye, Deting Xue, Erman Chen, Zhijun Pan, Rongxin He, Qianhai Ding, Weiduo Hou, Lan Fang Tang, Mo Chen and Jinwei Lu. Their work appears in journals such as Stem Cell Research & Therapy, The FASEB Journal, Cell Death and Disease, Journal of Molecular Medicine and Aging.
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.