Kunlong Ma
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
- Surgery 8
- Tissue Engineering and Regenerative Medicine 3
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- Intracerebral and Subarachnoid Hemorrhage Research 3
- Co-authors
- Zhenghua Xiao (6 shared papers)Xiaomei Ren (6 shared papers)Gang Yang (6 shared papers)Hai‐Qiang Wang (7 shared papers)Jiang Zhang (1 shared paper)Junpeng Zhang (1 shared paper)Fu-Jun Luan (8 shared papers)Yue Fang (7 shared papers)
- Journals
- Scientific Reports (2 papers)PeerJ (2 papers)Journal of Inflammation (2 papers)Pain Research and Management (1 paper)iScience (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Kunlong Ma
32 papers receiving 989 citations
Peers
Comparison fields: 5 of 113
- Biomaterials 205
- Molecular Medicine 59
- Orthopedics and Sports Medicine 79
- Surgery 325
- Urology 43
Countries citing papers authored by Kunlong Ma
This map shows the geographic impact of Kunlong Ma'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 Kunlong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunlong Ma more than expected).
Fields of papers citing papers by Kunlong Ma
This network shows the impact of papers produced by Kunlong Ma. 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 Kunlong Ma. The network helps show where Kunlong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunlong Ma, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 238 | |
| 2 | 2016 | 120 | |
| 3 | 2014 | 110 | |
| 4 | 2022 | 82 | |
| 5 | 2013 | 76 | |
| 6 | 2020 | 72 | |
| 7 | 2016 | 57 | |
| 8 | 2017 | 34 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2017 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2016 | 18 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2017 | 15 | |
| 17 | 2021 | 11 | |
| 18 | 2018 | 9 | |
| 19 | The stress response and anesthetic potency of unilateral spinal anesthesia for total Hip Replacement in geriatric patients. | 2014 | 7 |
| 20 | 2022 | 4 |
About Kunlong Ma
Kunlong Ma is a scholar working on Surgery, Neurology, Molecular Biology, Biomaterials and Cell Biology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Advanced Measurement and Metrology Techniques (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Periodontal Regeneration and Treatments (2 papers), Therapeutic Uses of Natural Elements (2 papers), Myofascial pain diagnosis and treatment (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Non-Destructive Testing Techniques (2 papers). The work is most often cited by research in Biomaterials (205 citations), Molecular Medicine (59 citations), Orthopedics and Sports Medicine (79 citations), Surgery (325 citations) and Urology (43 citations). Kunlong Ma has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhenghua Xiao, Xiaomei Ren, Gang Yang, Hai‐Qiang Wang, Jiang Zhang, Junpeng Zhang, Fu-Jun Luan, Yue Fang, Hong Qian and Hongtao Xu. Their work appears in journals such as Scientific Reports, PeerJ, Journal of Inflammation, Pain Research and Management and iScience.
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.