Kaishun Xia
Impact in
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- Spine and Intervertebral Disc Pathology
- Spinal Cord Injury Research
- Developmental Neuroscience top 10%
Papers in
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- Spine and Intervertebral Disc Pathology 17
- Spinal Cord Injury Research 12
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- Pluripotent Stem Cells Research 4
- Co-authors
- Chengzhen Liang (41 shared papers)Fangcai Li (36 shared papers)Qixin Chen (28 shared papers)Jingkai Wang (24 shared papers)Chenggui Wang (22 shared papers)Liwei Ying (20 shared papers)Huimin Tao (11 shared papers)Jian Zhu (9 shared papers)
- Journals
- Current Stem Cell Research & Therapy (6 papers)Bioactive Materials (4 papers)ACS Nano (3 papers)Biomaterials (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kaishun Xia
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Pathology and Forensic Medicine 627
- Developmental Neuroscience 61
- Cellular and Molecular Neuroscience 270
- Pharmacology 234
- Biomaterials 192
Countries citing papers authored by Kaishun Xia
This map shows the geographic impact of Kaishun Xia'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 Kaishun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaishun Xia more than expected).
Fields of papers citing papers by Kaishun Xia
This network shows the impact of papers produced by Kaishun Xia. 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 Kaishun Xia. The network helps show where Kaishun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaishun Xia, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2021 | 109 | |
| 3 | 2018 | 107 | |
| 4 | 2017 | 90 | |
| 5 | 2020 | 89 | |
| 6 | 2021 | 85 | |
| 7 | 2019 | 63 | |
| 8 | 2019 | 61 | |
| 9 | 2020 | 61 | |
| 10 | 2020 | 59 | |
| 11 | 2019 | 59 | |
| 12 | 2019 | 48 | |
| 13 | 2017 | 45 | |
| 14 | 2021 | 42 | |
| 15 | 2019 | 35 | |
| 16 | 2019 | 34 | |
| 17 | 2020 | 33 | |
| 18 | 2023 | 33 | |
| 19 | 2021 | 32 | |
| 20 | 2022 | 31 |
About Kaishun Xia
Kaishun Xia is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Surgery, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (17 papers), Spinal Cord Injury Research (12 papers), Nerve injury and regeneration (10 papers), Musculoskeletal pain and rehabilitation (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Mesenchymal stem cell research (4 papers), Pluripotent Stem Cells Research (4 papers) and Tendon Structure and Treatment (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (627 citations), Developmental Neuroscience (61 citations), Cellular and Molecular Neuroscience (270 citations), Pharmacology (234 citations) and Biomaterials (192 citations). Kaishun Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chengzhen Liang, Fangcai Li, Qixin Chen, Jingkai Wang, Chenggui Wang, Liwei Ying, Huimin Tao, Jian Zhu, Xianpeng Huang and Chao Yu. Their work appears in journals such as Current Stem Cell Research & Therapy, Bioactive Materials, ACS Nano, Biomaterials and Cell Death and Disease.
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.