Min Su

716 citations
29 papers · 540 · h-index 12

Impact in

  • Neurology top 10%
    • Neurological Disease Mechanisms and Treatments
    • Transcranial Magnetic Stimulation Studies
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disorders and Treatments

Papers in

    • Transcranial Magnetic Stimulation Studies 5
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Neurological Disorders and Treatments 2
    • Urinary Bladder and Prostate Research 2

Min Su

25 papers receiving 529 citations

Peers

Min Su
Comparison fields: 5 of 88
  • Neurology 110
  • Complementary and alternative medicine 39
  • Geriatrics and Gerontology 16
  • Pharmaceutical Science 25
  • Biomaterials 51
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Min Su relative to Tingting Huang China Tingting Huang's profile →
Citations per field
00.5×2×3.4×
Tingting Huang · 1×
Citations per year

Countries citing papers authored by Min Su

Since Specialization
Citations

This map shows the geographic impact of Min 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 Min Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Su more than expected).

Fields of papers citing papers by Min Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min 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 Min Su. The network helps show where Min Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Min 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 Min Su Line = papers co-authored together Min Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201078
2 201775
3 201665
4 201056
5 201547
6 201535
7 202334
8 202028
9 202024
10 201121
11 201818
12 201916
13 20209
14 20197
15 20146
16
GABA-induced motor improvement following acute cerebral infarction.
20205
17 20204
18
Clinical study of treating Parkinson disease by repetitive transcranial magnetic stimulation
20053
19 20112
20 20122

About Min Su

Min Su is a scholar working on Neurology, Urology, Physiology, Epidemiology and Oncology, having authored 29 papers that have together received 540 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (5 papers), Urinary Bladder and Prostate Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurological Disorders and Treatments (2 papers), Cancer Treatment and Pharmacology (2 papers), Muscle activation and electromyography studies (2 papers), Autophagy in Disease and Therapy (2 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Neurology (110 citations), Complementary and alternative medicine (39 citations), Geriatrics and Gerontology (16 citations), Pharmaceutical Science (25 citations) and Biomaterials (51 citations). Min Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yan‐Qiong Ouyang, Hui-fen Zheng, Chun-Feng Liu, Jinzhong Huang, Yaping Yang, Xing Tang, Jing Chen, Xia Lin, Shihao Wu and Xintian Hu. Their work appears in journals such as Frontiers in Neuroscience, International Journal of Pharmaceutics, Cell Death and Disease, Neural Plasticity and Pharmaceutical Research.

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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