Shan-Yu Su

1.4k total citations
62 papers, 1.1k citations indexed

About

Shan-Yu Su is a scholar working on Complementary and alternative medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Shan-Yu Su has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Complementary and alternative medicine, 9 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Shan-Yu Su's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Endometriosis Research and Treatment (7 papers) and Traditional Chinese Medicine Analysis (5 papers). Shan-Yu Su is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Endometriosis Research and Treatment (7 papers) and Traditional Chinese Medicine Analysis (5 papers). Shan-Yu Su collaborates with scholars based in Taiwan, China and United States. Shan-Yu Su's co-authors include Ching‐Liang Hsieh, Tin-Yun Ho, Chin-Yi Cheng, Nou-Ying Tang, Su‐Yin Chiang, E-Jian Lee, Wan-Yu Lo, Donald E. Morisky, Chih‐Hsin Muo and Chien‐Yun Hsiang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Brain Research.

In The Last Decade

Shan-Yu Su

57 papers receiving 1.1k citations

Peers

Shan-Yu Su
Comparison fields: 5 of 124
  • Molecular Biology 293
  • Complementary and alternative medicine 291
  • Neurology 219
  • Pharmacology 181
  • Pharmacology 149
Replace Chin-Yi Cheng with:
Chin-Yi Cheng Taiwan
Parichat Prachaney Thailand
Zhixian Mo China
Youngmin Bu South Korea
Xueyang Deng China
Yue Zhu China
Ho‐Young Choi South Korea
Mariane G. Tadros Egypt
Kelvin Chan Australia
Chin-Yi Cheng Taiwan View profile →
Citations per field, relative to Shan-Yu Su
Shan-Yu Su · 1×
Citations per year, relative to Shan-Yu Su
Shan-Yu Su · 1×

Countries citing papers authored by Shan-Yu Su

Since Specialization
Citations

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

Fields of papers citing papers by Shan-Yu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan-Yu Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shan-Yu Su. A scholar is included among the top collaborators of Shan-Yu Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shan-Yu Su. Shan-Yu Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 3
5 5
6 4
7 4
8 6
9 14
10 9
11 18
12 16
13 13
14 15
15 14
16 35
17 8
18 40
19 1
20 18

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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2026