Chi‐Min Chen

476 citations
23 papers · 384 · h-index 12

Impact in

Papers in

Chi‐Min Chen

20 papers receiving 378 citations

Peers

Chi‐Min Chen
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 111
  • Polymers and Plastics 65
  • Animal Science and Zoology 43
  • Oncology 75
  • Cognitive Neuroscience 47
Replace Zhongyu Zhang with:
Zhongyu Zhang China
Shinwon Kang South Korea
Chen-Zhong Li United States
Michał Komoszyński Poland
Yogesh Singh India
Shringika Soni India
Mi Ra Park South Korea
Shengnan Feng China
Georgina Harris United States
Damon Smith United Kingdom
Chi‐Min Chen relative to Zhongyu Zhang China Zhongyu Zhang's profile →
Citations per field
00.5×8.1×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200977
2 201747
3 201035
4 201131
5 201127
6 201425
7 201124
8 201923
9 201522
10 199516
11 200714
12 201012
13 202311
14 20204
15 20194
16 20073
17 20063
18 20053
19
Effects of a Chinese herbal medicine yi-kang-kong on TGEV infectivity in tissue culture.
20001
20 20071

About Chi‐Min Chen

Chi‐Min Chen is a scholar working on Electrical and Electronic Engineering, Infectious Diseases, Cellular and Molecular Neuroscience, Animal Science and Zoology and Molecular Biology, having authored 23 papers that have together received 384 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Organic Electronics and Photovoltaics (3 papers), Conducting polymers and applications (2 papers), Virus-based gene therapy research (2 papers), Vector-Borne Animal Diseases (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (111 citations), Polymers and Plastics (65 citations), Animal Science and Zoology (43 citations), Oncology (75 citations) and Cognitive Neuroscience (47 citations). Chi‐Min Chen has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Show‐An Chen, Tzu‐Hao Jen, Chester A. Mathis, W. Gordon Frankle, Rajesh Narendran, N. Scott Mason, Eugenii A. Rabiner, Marc Laruelle, Yu‐Sheng Chao and Michael L. Himes. Their work appears in journals such as Virus Research, Journal of Food and Drug Analysis, Dalton Transactions, Antimicrobial Agents and Chemotherapy and Green 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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