Su-Fen Liao

795 total citations
41 papers, 622 citations indexed

About

Su-Fen Liao is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Su-Fen Liao has authored 41 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Physiology. Recurrent topics in Su-Fen Liao's work include Lymphatic System and Diseases (8 papers), Adipose Tissue and Metabolism (6 papers) and Muscle metabolism and nutrition (5 papers). Su-Fen Liao is often cited by papers focused on Lymphatic System and Diseases (8 papers), Adipose Tissue and Metabolism (6 papers) and Muscle metabolism and nutrition (5 papers). Su-Fen Liao collaborates with scholars based in Taiwan, United States and China. Su-Fen Liao's co-authors include Shuhua Li, Ta‐Sen Wei, Tien‐Yow Chuang, Henrich Cheng, Rai‐Chi Chan, Kwong-Kum Liao, Yang‐Hsin Shih, Shou‐Tung Chen, Shou‐Jen Kuo and Ann‐Shyn Chiang and has published in prestigious journals such as PLoS ONE, Spine and Journal of Allergy and Clinical Immunology.

In The Last Decade

Su-Fen Liao

40 papers receiving 599 citations

Peers

Su-Fen Liao
Comparison fields: 5 of 105
  • Oncology 148
  • Surgery 138
  • Molecular Biology 108
  • Pathology and Forensic Medicine 94
  • Psychiatry and Mental health 84
Replace Masako Yokoyama with:
Masako Yokoyama Japan
Mélanie Tremblay Canada
Amnon A. Berger United States
Lisa Melton United Kingdom
Michelle Tran United States
S. Gauthier France
Hye Sun Kim South Korea
Monica L. Litsky United States
Carlos M. Barrera United States
Alan N. Elias United States
Masako Yokoyama Japan View profile →
Citations per field, relative to Su-Fen Liao
Su-Fen Liao · 1×
Citations per year, relative to Su-Fen Liao
Su-Fen Liao · 1×

Countries citing papers authored by Su-Fen Liao

Since Specialization
Citations

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

Fields of papers citing papers by Su-Fen Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su-Fen Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Fen Liao. A scholar is included among the top collaborators of Su-Fen Liao 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 Su-Fen Liao. Su-Fen Liao 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 1
2 17
3 24
4 2
5 13
6 22
7 9
8 12
9 43
10 2
11 12
12 3
13 10
14 41
15 10
16
Complex Decongestive Physiotherapy for Severe Lower Limb Lymphedema Following Pelvic Cancer Treatment: Report of Two Cases
0
17 4
18 10
19 64
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026