Xiaolin Su
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Toxicology top 5%
Papers in
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- Cancer therapeutics and mechanisms 6
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- Functional Brain Connectivity Studies 10
- EEG and Brain-Computer Interfaces 6
- Co-authors
- Yunzhou Zhang (7 shared papers)Huiyu Liu (3 shared papers)Yi Guo (3 shared papers)Hui Che (4 shared papers)Xu Cao (1 shared paper)Qiuhong Wang (5 shared papers)Haixue Kuang (4 shared papers)Jiangwei Wang (7 shared papers)
- Journals
- Frontiers in Aging Neuroscience (3 papers)Frontiers in Oncology (3 papers)Frontiers in Molecular Neuroscience (2 papers)Frontiers in Pharmacology (2 papers)Cellular Physiology and Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaolin Su
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 154
- Neurology 194
- Toxicology 39
- Cancer Research 153
- Biological Psychiatry 22
- Health Informatics 11
Countries citing papers authored by Xiaolin Su
This map shows the geographic impact of Xiaolin Su'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 Xiaolin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Su more than expected).
Fields of papers citing papers by Xiaolin Su
This network shows the impact of papers produced by Xiaolin Su. 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 Xiaolin Su. The network helps show where Xiaolin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Su, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2013 | 99 | |
| 3 | 2015 | 79 | |
| 4 | 2018 | 78 | |
| 5 | 2015 | 67 | |
| 6 | 2019 | 62 | |
| 7 | 2015 | 52 | |
| 8 | 2014 | 33 | |
| 9 | 2013 | 32 | |
| 10 | 2020 | 30 | |
| 11 | 2020 | 26 | |
| 12 | 2014 | 24 | |
| 13 | 2013 | 24 | |
| 14 | 2017 | 24 | |
| 15 | 2008 | 24 | |
| 16 | 2021 | 23 | |
| 17 | 2021 | 21 | |
| 18 | 2022 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 2012 | 18 |
About Xiaolin Su
Xiaolin Su is a scholar working on Molecular Biology, Cognitive Neuroscience, Neurology, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (10 papers), Functional Brain Connectivity Studies (10 papers), Bioactive Compounds and Antitumor Agents (6 papers), EEG and Brain-Computer Interfaces (6 papers), Cancer therapeutics and mechanisms (6 papers), Power Systems and Renewable Energy (4 papers), High-Voltage Power Transmission Systems (3 papers) and Smart Grid and Power Systems (3 papers). The work is most often cited by research in Neurology (194 citations), Toxicology (39 citations), Cancer Research (153 citations), Biological Psychiatry (22 citations) and Health Informatics (11 citations). Xiaolin Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunzhou Zhang, Huiyu Liu, Yi Guo, Hui Che, Xu Cao, Qiuhong Wang, Haixue Kuang, Jiangwei Wang, Changfu Wang and Jing Ai. Their work appears in journals such as Frontiers in Aging Neuroscience, Frontiers in Oncology, Frontiers in Molecular Neuroscience, Frontiers in Pharmacology and Cellular Physiology and Biochemistry.
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.