Chi‐Min Chen

19 papers receiving 406 citations

Peers

Chi‐Min Chen
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 114
  • Polymers and Plastics 67
  • Animal Science and Zoology 42
  • Oncology 80
  • Cognitive Neuroscience 49
Replace Zhongyu Zhang with:
Zhongyu Zhang China
Shinwon Kang South Korea
Ketki Patil United States
Shringika Soni India
Xi-xiu Xie China
Georgina Harris United States
Abhijit Kundu United States
Esther Zurita Spain
Yogesh S. Singh India
Piotr Kossoń Poland
Chi‐Min Chen relative to Zhongyu Zhang China Zhongyu Zhang's profile →
Citations per field
00.5×2×4×6×8.4×
Zhongyu Zhang · 1×
Citations per year

Countries citing papers authored by Chi‐Min Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Min Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2 201748
3 201039
4 201134
5 201129
6 201127
7 201427
8 201924
9 201522
10 199516
11 200716
12 201014
13 202313
14 20196
15 20204
16 20054
17 20073
18 20062
19 20212
20 20071

About Chi‐Min Chen

Chi‐Min Chen is a scholar working on Animal Science and Zoology, Infectious Diseases, Cellular and Molecular Neuroscience, Agronomy and Crop Science and Electrical and Electronic Engineering, having authored 22 papers that have together received 417 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Organic Electronics and Photovoltaics (3 papers), Animal Disease Management and Epidemiology (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Polymers and Plastics (67 citations), Animal Science and Zoology (42 citations), Oncology (80 citations) and Cognitive Neuroscience (49 citations). Chi‐Min Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Show‐An Chen, Neale Scott Mason, William Gordon Frankle, Tzu‐Hao Jen, Rajesh Narendran, Chester A. Mathis, Eugenii A. Rabiner, Yu‐Sheng Chao, Marc A. Laruelle and Jiajing Wu. Their work appears in journals such as Pedobiologia, ACS Applied Materials & Interfaces, Antimicrobial Agents and Chemotherapy, Journal of Materials Chemistry C and Journal of Materials Chemistry.

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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