Po-Chuan Chen

440 citations
26 papers · 312 · h-index 11

Impact in

Papers in

Po-Chuan Chen

26 papers receiving 308 citations

Peers

Po-Chuan Chen
Comparison fields: 5 of 85
  • Virology 23
  • Paleontology 17
  • Endocrinology, Diabetes and Metabolism 39
  • Health Informatics 3
  • Aquatic Science 16
Replace Partha Pratim Chakraborty with:
Partha Pratim Chakraborty India
Kenji Ninomiya Japan
Wellington Ribeiro Brazil
Stephen A. Hoption Cann Canada
Parameswari Govindarajan Germany
Tamsin Zangerle-Murray United Kingdom
Annamaria D’Ostilio Italy
Regiane dos Santos Feliciano Brazil
H. S. Bal United States
Daniel Paulsen United States
Po-Chuan Chen relative to Partha Pratim Chakraborty India Partha Pratim Chakraborty's profile →
Citations per field
00.5×10×16×
Partha Pratim Chakraborty · 1×
Citations per year

Countries citing papers authored by Po-Chuan Chen

Since Specialization
Citations

This map shows the geographic impact of Po-Chuan 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-Chuan 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-Chuan Chen more than expected).

Fields of papers citing papers by Po-Chuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 201536
3 201835
4
Age and growth estimates of the whitespotted bamboo shark, Chiloscyllium plagiosum, in the northern waters of Taiwan
200728
5 202027
6 201919
7 202219
8 201314
9 202211
10 202210
11 202210
12 20238
13 20227
14 20227
15 20167
16 20227
17 20216
18 20224
19 20214
20 20194

About Po-Chuan Chen

Po-Chuan Chen is a scholar working on Pathology and Forensic Medicine, Oncology, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 312 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer Treatment and Pharmacology (2 papers), Neuroscience and Neural Engineering (2 papers), Muscle activation and electromyography studies (2 papers), Ferroptosis and cancer prognosis (2 papers), Diabetes Management and Research (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Virology (23 citations), Paleontology (17 citations), Endocrinology, Diabetes and Metabolism (39 citations), Health Informatics (3 citations) and Aquatic Science (16 citations). Po-Chuan Chen has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Shih‐Hung Tsai, Ying-Chuan Wang, Wen-I Liao, Chi‐Chen Lin, Min-Hung Chen, Po-Yuan Chiang, Kwang‐Ming Liu, Chun-Kuei Chen, Yu‐Min Yeh and Jia‐Feng Chang. Their work appears in journals such as Biosensors, The American Journal of Emergency Medicine, Cancers, British Journal of Cancer and Medicine.

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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