Pei‐Chen Hsu

439 citations
25 papers · 370 · h-index 13

Impact in

    • Protease and Inhibitor Mechanisms
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Curcumin's Biomedical Applications

Papers in

Pei‐Chen Hsu

23 papers receiving 365 citations

Peers

Pei‐Chen Hsu
Comparison fields: 5 of 51
  • Cancer Research 96
  • Molecular Medicine 30
  • Public Health, Environmental and Occupational Health 101
  • Rheumatology 19
  • Molecular Biology 80
Replace Cheng Shi with:
Cheng Shi China
I‐Ying Lin Taiwan
Xianfeng Shao China
Annamarie E. Allen United States
Thomas Seeholzer Germany
Jafar Fallahi Iran
Ottaviano Serlupi‐Crescenzi Italy
Geraldine Laven‐Law Australia
Pei‐Chen Hsu relative to Cheng Shi China Cheng Shi's profile →
Citations per field
00.5×2×4×6.3×
Cheng Shi · 1×
Citations per year

Countries citing papers authored by Pei‐Chen Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chen Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200844
2 201436
3 200725
4 200824
5 202022
6 202022
7 201621
8 201720
9 201718
10 202118
11 202016
12 201914
13 201813
14 202111
15 202411
16 20089
17 20109
18 20229
19 20197
20 20216

About Pei‐Chen Hsu

Pei‐Chen Hsu is a scholar working on Public Health, Environmental and Occupational Health, Cancer Research, Neurology, Molecular Biology and Molecular Medicine, having authored 25 papers that have together received 370 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (17 papers), Cell death mechanisms and regulation (3 papers), Polyamine Metabolism and Applications (3 papers), Genetic Associations and Epidemiology (2 papers), Cancer-related molecular mechanisms research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer-related gene regulation (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Cancer Research (96 citations), Molecular Medicine (30 citations), Public Health, Environmental and Occupational Health (101 citations), Rheumatology (19 citations) and Molecular Biology (80 citations). Pei‐Chen Hsu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hui‐Chih Hung, Ya-Fan Liao, Guang‐Yaw Liu, WEN-SHIN CHANG, JEN-SHENG PEI, Gregory Jiazer Tsay, Da‐Tian Bau, Chia-Wen Tsai, YUN-CHI WANG and Tzyh‐Chyuan Hour. Their work appears in journals such as Anticancer Research, Cancer Genomics & Proteomics, Leukemia Research, Molecules and Cells and Cancer Management and Research.

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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