Xiaofeng Ma
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Ion channel regulation and function 3
-
- Neuroscience and Neural Engineering 6
- Co-authors
- Junwei Hao (13 shared papers)Yating He (3 shared papers)Daojing Li (3 shared papers)Xiaoyun Qian (12 shared papers)Xia Gao (11 shared papers)Yue Zhao (1 shared paper)Zuo Wang (1 shared paper)Shuang Li (1 shared paper)
- Journals
- Scientific Reports (3 papers)ACS Sustainable Chemistry & Engineering (2 papers)International Journal of Biological Macromolecules (2 papers)Cellular Physiology and Biochemistry (2 papers)CNS Neuroscience & Therapeutics (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaofeng Ma
78 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 150
- Neurology 183
- Sensory Systems 89
- Cancer Research 204
- Immunology 200
- Molecular Biology 648
Countries citing papers authored by Xiaofeng Ma
This map shows the geographic impact of Xiaofeng 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 Xiaofeng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Ma more than expected).
Fields of papers citing papers by Xiaofeng Ma
This network shows the impact of papers produced by Xiaofeng 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 Xiaofeng Ma. The network helps show where Xiaofeng Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 130 | |
| 2 | 2016 | 111 | |
| 3 | 2017 | 65 | |
| 4 | 2017 | 65 | |
| 5 | 2021 | 61 | |
| 6 | 2016 | 54 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 52 | |
| 9 | 2017 | 52 | |
| 10 | 2012 | 51 | |
| 11 | 2016 | 48 | |
| 12 | 2009 | 45 | |
| 13 | 2021 | 41 | |
| 14 | 2018 | 39 | |
| 15 | 1998 | 39 | |
| 16 | 2013 | 38 | |
| 17 | 2019 | 38 | |
| 18 | 2021 | 37 | |
| 19 | 2016 | 36 | |
| 20 | 2019 | 36 |
About Xiaofeng Ma
Xiaofeng Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Immunology, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Neuroscience and Neural Engineering (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Wound Healing and Treatments (5 papers), ERP Systems Implementation and Impact (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Information Technology Governance and Strategy (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Neurology (183 citations), Sensory Systems (89 citations), Cancer Research (204 citations), Immunology (200 citations) and Molecular Biology (648 citations). Xiaofeng Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Junwei Hao, Yating He, Daojing Li, Xiaoyun Qian, Xia Gao, Yue Zhao, Zuo Wang, Shuang Li, Xinglan He and Xiaolong Lin. Their work appears in journals such as Scientific Reports, ACS Sustainable Chemistry & Engineering, International Journal of Biological Macromolecules, Cellular Physiology and Biochemistry and CNS Neuroscience & Therapeutics.
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.