Xiaolin Su

1.9k citations
90 papers · 1.4k · h-index 20

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neurological Disease Mechanisms and Treatments
  • Toxicology top 5%

Papers in

    • Transcranial Magnetic Stimulation Studies 11
    • Bioactive Compounds and Antitumor Agents 7

Xiaolin Su

81 papers receiving 1.4k citations

Peers

Xiaolin Su
Comparison fields: 5 of 156
  • Neurology 210
  • Toxicology 37
  • Biological Psychiatry 23
  • Cancer Research 127
  • Complementary and alternative medicine 52
Replace Jorge Miquel Barcia with:
Jorge Miquel Barcia Spain
Ting Shen China
Hojin Choi South Korea
Xiaotong Wang China
Keiichi Abe Japan
Chenhui Yang China
Xiong Zhang China
Tzu‐Yu Lin Taiwan
Darren F. Boehning United States
Xiaolin Su relative to Jorge Miquel Barcia Spain Jorge Miquel Barcia's profile →
Citations per field
00.5×2×2.9×
Jorge Miquel Barcia · 1×
Citations per year

Countries citing papers authored by Xiaolin Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaolin Su Line = papers co-authored together Xiaolin Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 2013103
3 201889
4 201583
5 201572
6 201970
7 201566
8 201338
9 202035
10 201432
11 201726
12 202126
13 202026
14 201425
15 200824
16 202324
17 201324
18 202123
19 202422
20 202021

About Xiaolin Su

Xiaolin Su is a scholar working on Neurology, Toxicology, Cognitive Neuroscience, Energy Engineering and Power Technology and Molecular Biology, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (11 papers), Functional Brain Connectivity Studies (7 papers), Bioactive Compounds and Antitumor Agents (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 Smart Grid and Power Systems (3 papers). The work is most often cited by research in Neurology (210 citations), Toxicology (37 citations), Biological Psychiatry (23 citations), Cancer Research (127 citations) and Complementary and alternative medicine (52 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, PLoS ONE, Cellular Physiology and Biochemistry and Frontiers in Molecular Neuroscience.

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.

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