Po‐Ku Chen

444 citations
35 papers · 338 · h-index 14

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology

Papers in

    • Autoimmune and Inflammatory Disorders Research 12
    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 2
    • Atherosclerosis and Cardiovascular Diseases 2

Po‐Ku Chen

35 papers receiving 336 citations

Peers

Po‐Ku Chen
Comparison fields: 5 of 69
  • Hematology 79
  • Immunology 95
  • Periodontics 14
  • Rheumatology 42
  • Otorhinolaryngology 9
Replace Bojana Stamenković with:
Bojana Stamenković Serbia
Ruchira Fernando Australia
Bingni Chen China
Amina Barakat Morocco
Lidia La Barbera Italy
Viktoriya Pavlych Italy
Yuki Sakazaki Japan
Maili Zimmermann Netherlands
Julian Friebel Germany
Zeqing Zhai China
Po‐Ku Chen relative to Bojana Stamenković Serbia Bojana Stamenković's profile →
Citations per field
00.5×2×2.7×
Bojana Stamenković · 1×
Citations per year

Countries citing papers authored by Po‐Ku Chen

Since Specialization
Citations

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

Fields of papers citing papers by Po‐Ku Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po‐Ku Chen. 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 Po‐Ku Chen. The network helps show where Po‐Ku Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202138
2 202133
3 201523
4 202117
5 201717
6 202416
7 202116
8 202016
9 202015
10 202313
11 202013
12 202313
13 201513
14 201813
15 201312
16 202111
17 20229
18 20207
19 20226
20 20216

About Po‐Ku Chen

Po‐Ku Chen is a scholar working on Hematology, Immunology, Rheumatology, Molecular Biology and Surgery, having authored 35 papers that have together received 338 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (12 papers), Systemic Lupus Erythematosus Research (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Inflammasome and immune disorders (5 papers), Immune Cell Function and Interaction (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Galectins and Cancer Biology (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Hematology (79 citations), Immunology (95 citations), Periodontics (14 citations), Rheumatology (42 citations) and Otorhinolaryngology (9 citations). Po‐Ku Chen has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Der‐Yuan Chen, Der‐Yuan Chen, Joung‐Liang Lan, Kuo‐Tung Tang, Yi‐Ming Chen, Tsai‐Ling Liao, Chu‐Huang Chen, Hung‐Jen Liu, Jye‐Lin Hsu and Hui‐Ju Lin. Their work appears in journals such as International Journal of Molecular Sciences, Clinical and Experimental Rheumatology, Journal of Immunology Research, Life and Biomedicines.

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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