Chin‐Hsiu Liu

486 citations
21 papers · 320 indexed · h-index 12
Topics
Spondyloarthritis Studies and Treatments (11 papers)Psoriasis: Treatment and Pathogenesis (6 papers)Rheumatoid Arthritis Research and Therapies (4 papers)

In The Last Decade

Chin‐Hsiu Liu

21 papers receiving 314 citations

Peers

Chin‐Hsiu Liu
Comparison fields: 5 of 56
  • Rheumatology 177
  • Immunology 114
  • Molecular Biology 90
  • Hematology 44
  • Pathology and Forensic Medicine 32
Replace Tadeja Kuret with:
Tadeja Kuret Slovenia
Ali Taylan Türkiye
Renfang Han China
Michele Gilio Italy
N. Ota Japan
Dominik Majewski Poland
Verónica Mijares Spain
Wataru Fujii Japan
Soken-Nakazawa J. Song Japan
Toshihide Masuzawa Japan
Chin‐Hsiu Liu relative to Tadeja Kuret Slovenia Tadeja Kuret's profile →
Citations per field
00.5×1.5×1.8×
Tadeja Kuret · 1×
Citations per year

Countries citing papers authored by Chin‐Hsiu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Hsiu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Hsiu Liu. 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 Chin‐Hsiu Liu. The network helps show where Chin‐Hsiu Liu may publish in the future.

Co-authorship network of co-authors of Chin‐Hsiu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Hsiu Liu. A scholar is included among the top collaborators of Chin‐Hsiu Liu 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 Chin‐Hsiu Liu. Chin‐Hsiu Liu 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
#WorkIndexed citations
1 2
2 10
3 14
4 5
5 6
6 14
7 19
8 11
9 12
10 57
11 34
12 13
13 30
14
Suppressors of cytokine signalling in ankylosing spondylitis and their associations with disease severity, acute-phase reactants and serum cytokines.
4
15 16
16 18
17 6
18 35
19 8
20 2

About Chin‐Hsiu Liu

Chin‐Hsiu Liu is a scholar working on Rheumatology, Immunology and Nephrology, having authored 21 papers that have together received 320 indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (11 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). The work is most often cited by research in Rheumatology (177 citations), Immunology (114 citations) and Nephrology (30 citations). Chin‐Hsiu Liu has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Chung‐Tei Chou, Hsien‐Tzung Liao, Chang‐Youh Tsai, James Cheng‐Chung Wei, Kuo‐I Lin, Chun‐Hsiung Chen, Chun-Hsiung Chen, Kuo-Hsuan Hung, I‐Ying Lin and Ming‐Nan Lin. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Frontiers in Immunology.

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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