Xiaolin Su
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Neurological Disease Mechanisms and Treatments
- Toxicology top 5%
Papers in
-
- Cancer therapeutics and mechanisms 7
- Genomics, phytochemicals, and oxidative stress 3
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- Electronic Packaging and Soldering Technologies 4
- 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 Oncology (3 papers)Frontiers in Aging Neuroscience (3 papers)Cellular Physiology and Biochemistry (2 papers)Frontiers in Pharmacology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaolin Su
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 154
- Neurology 189
- Toxicology 36
- Biological Psychiatry 22
- Cancer Research 126
- Complementary and alternative medicine 51
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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2013 | 101 | |
| 3 | 2015 | 83 | |
| 4 | 2018 | 81 | |
| 5 | 2015 | 70 | |
| 6 | 2019 | 67 | |
| 7 | 2015 | 66 | |
| 8 | 2013 | 38 | |
| 9 | 2020 | 35 | |
| 10 | 2014 | 32 | |
| 11 | 2020 | 27 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2008 | 24 | |
| 16 | 2013 | 24 | |
| 17 | 2021 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2015 | 19 | |
| 20 | 2019 | 19 |
About Xiaolin Su
Xiaolin Su is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Neurology, Cognitive Neuroscience and Toxicology, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (10 papers), Bioactive Compounds and Antitumor Agents (7 papers), Functional Brain Connectivity Studies (7 papers), Cancer therapeutics and mechanisms (7 papers), EEG and Brain-Computer Interfaces (4 papers), Power Systems and Renewable Energy (4 papers), Electronic Packaging and Soldering Technologies (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Neurology (189 citations), Toxicology (36 citations), Biological Psychiatry (22 citations), Cancer Research (126 citations) and Complementary and alternative medicine (51 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 Oncology, Frontiers in Aging Neuroscience, Cellular Physiology and Biochemistry, Frontiers in Pharmacology and PLoS ONE.
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.