Pei‐Chen Huang

21 papers receiving 613 citations

Peers

Pei‐Chen Huang
Comparison fields: 5 of 97
  • Sensory Systems 47
  • Rehabilitation 60
  • Pharmacology 62
  • Biochemistry 42
  • Complementary and alternative medicine 43
Replace Mohammad Afshar with:
Mohammad Afshar Iran
Jolanta Majka Poland
Morgana Duarte da Silva Brazil
Masataka Kusunoki Japan
Cheng-Ying Ho Taiwan
Lingshan Gou China
Ji Hwan Lee South Korea
Mohammad Ebrahim Rezvani Iran
Mehmet Yalçın Günal Türkiye
Joseph Jeffry United States
Pei‐Chen Huang relative to Mohammad Afshar Iran Mohammad Afshar's profile →
Citations per field
00.5×3.6×
Mohammad Afshar · 1×
Citations per year

Countries citing papers authored by Pei‐Chen Huang

Since Specialization
Citations

This map shows the geographic impact of Pei‐Chen Huang'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 Huang 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 Huang more than expected).

Fields of papers citing papers by Pei‐Chen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000124
2 201676
3 200072
4 200561
5 200358
6 201733
7 201632
8 200232
9 201628
10 201823
11 201218
12 202314
13 201913
14 200912
15 201512
16 201311
17 20197
18 20066
19 20175
20 20062

About Pei‐Chen Huang

Pei‐Chen Huang is a scholar working on Molecular Biology, Nephrology, Cellular and Molecular Neuroscience, Urology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 640 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (2 papers), Urinary Bladder and Prostate Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Magnesium in Health and Disease (2 papers), Diet, Metabolism, and Disease (2 papers), Neuropeptides and Animal Physiology (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Sensory Systems (47 citations), Rehabilitation (60 citations), Pharmacology (62 citations), Biochemistry (42 citations) and Complementary and alternative medicine (43 citations). Pei‐Chen Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chun‐Ching Lin, Jer‐Min Lin, Allen H. Li, Hung‐Li Wang, Woei‐Chyn Chu, Kuan-Ta Chen, Tu‐Hsueh Yeh, Chia‐Yu Hsu, Ying‐Ling Chen and Yueh‐Ting Lee. Their work appears in journals such as Environmental Toxicology, Neurourology and Urodynamics, Phytotherapy Research, Journal of Neurochemistry and Biochemical and Biophysical Research Communications.

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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