Wei-Ching Chen

682 citations
10 papers · 353 · h-index 7

Impact in

Papers in

Wei-Ching Chen

9 papers receiving 352 citations

Peers

Wei-Ching Chen
Comparison fields: 5 of 84
  • Cancer Research 89
  • Health, Toxicology and Mutagenesis 49
  • Molecular Biology 178
  • Oncology 55
  • Biochemistry 13
Replace Kumiko Yamamoto with:
Kumiko Yamamoto Japan
Shanji Fu China
Donglin Yan United States
Qiying Lu China
Fatemeh Esmaeili Iran
Shizhen Song China
Márcia Costa United States
Edison Leung United States
Grace M. Choong United States
Woan-Fang Tzeng Taiwan
Wei-Ching Chen relative to Kumiko Yamamoto Japan Kumiko Yamamoto's profile →
Citations per field
00.5×1.5×2.4×
Kumiko Yamamoto · 1×
Citations per year

Countries citing papers authored by Wei-Ching Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019154
2 202055
3 201741
4 202135
5 201433
6 200621
7 20229
8
AN RFID APPLICATION MODEL FOR THE PUBLICATION INDUSTRY: A TAIWAN PERSPECTIVE
20054
9 20101
10 20140

About Wei-Ching Chen

Wei-Ching Chen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering, Cancer Research and Computer Networks and Communications, having authored 10 papers that have together received 353 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), RFID technology advancements (1 paper), Polyamine Metabolism and Applications (1 paper), Adsorption and biosorption for pollutant removal (1 paper), Wind and Air Flow Studies (1 paper) and Water Treatment and Disinfection (1 paper). The work is most often cited by research in Cancer Research (89 citations), Health, Toxicology and Mutagenesis (49 citations), Molecular Biology (178 citations), Oncology (55 citations) and Biochemistry (13 citations). Wei-Ching Chen has collaborated with scholars based in Taiwan, United States and Israel. Frequent co-authors include Mark R. Philips, Allan Balmain, Helen Court, Jie Shi, Ian M. Ahearn, Richard Possemato, Caroline R. Amendola, Michael J. Morten, Stevan R. Hubbard and Seth J. Parker. Their work appears in journals such as Journal of Food and Drug Analysis, Nature Communications, Cancer Nursing, Nature and Journal of the Air & Waste Management Association.

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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