Po‐Ku Chen

424 citations
35 papers · 318 · h-index 13

Impact in

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

Papers in

    • Immune Cell Function and Interaction 7
    • Galectins and Cancer Biology 2
    • Autoimmune and Inflammatory Disorders Research 13

Po‐Ku Chen

33 papers receiving 316 citations

Peers

Po‐Ku Chen
Comparison fields: 5 of 77
  • Hematology 82
  • Immunology 121
  • Rheumatology 56
  • Periodontics 15
  • Infectious Diseases 36
Replace Dominik Majewski with:
Dominik Majewski Poland
Marta Madej Poland
Agnieszka Bińczak‐Kuleta Poland
Lidia La Barbera Italy
Julian Friebel Germany
Maili Zimmermann Netherlands
Samuel Bitoun France
Liqi Bi China
Zhengxu Sun China
Long Chu United States
Po‐Ku Chen relative to Dominik Majewski Poland Dominik Majewski's profile →
Citations per field
00.5×
Dominik Majewski · 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 202131
3 201523
4 201717
5 202115
6 202015
7 202115
8 202014
9 202414
10 201513
11 202312
12 201812
13 202012
14 201312
15 202111
16 202310
17 20229
18 20207
19 20226
20 20216

About Po‐Ku Chen

Po‐Ku Chen is a scholar working on Immunology, Hematology, Molecular Biology, Rheumatology and Surgery, having authored 35 papers that have together received 318 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (13 papers), Inflammasome and immune disorders (9 papers), Immune Cell Function and Interaction (7 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Systemic Lupus Erythematosus Research (6 papers), Lipoproteins and Cardiovascular Health (3 papers), Galectins and Cancer Biology (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Hematology (82 citations), Immunology (121 citations), Rheumatology (56 citations), Periodontics (15 citations) and Infectious Diseases (36 citations). Po‐Ku Chen has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Der‐Yuan Chen, Der‐Yuan Chen, Joung‐Liang Lan, Kuo‐Tung Tang, Chu‐Huang Chen, Yi‐Ming Chen, Tsai‐Ling Liao, Hui‐Ju Lin, Hung‐Jen Liu and Ni Tien. Their work appears in journals such as International Journal of Molecular Sciences, Clinical and Experimental Rheumatology, Journal of Immunology Research, Biomedicines and Life.

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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