Chin-Ching Wu

1.4k citations
37 papers · 1.2k · h-index 20

Impact in

Papers in

Chin-Ching Wu

36 papers receiving 1.1k citations

Peers

Chin-Ching Wu
Comparison fields: 5 of 136
  • Health, Toxicology and Mutagenesis 545
  • Environmental Chemistry 175
  • Nutrition and Dietetics 222
  • Pollution 130
  • Cell Biology 106
Replace Yunfeng Zou with:
Yunfeng Zou China
Airton C. Martins Brazil
Petra Haberzettl United States
Sanae Kanno Japan
Eleni Fthenou Greece
Emma S. Calderón‐Aranda Mexico
Yi Hu China
Yinyin Xia China
Tianyu Dong China
Ang Li China
Chin-Ching Wu relative to Yunfeng Zou China Yunfeng Zou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chin-Ching Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Ching Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010158
2 2013153
3 2013127
4 201768
5 201959
6 201554
7 202049
8 200248
9 201736
10 201534
11 201332
12 200928
13 201927
14 201227
15 201626
16 201624
17 200624
18 201124
19 202221
20 201120

About Chin-Ching Wu

Chin-Ching Wu is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Nutrition and Dietetics, Cell Biology and Molecular Biology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (19 papers), Heavy metals in environment (8 papers), Mercury impact and mitigation studies (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Trace Elements in Health (5 papers), Arsenic contamination and mitigation (4 papers), Air Quality and Health Impacts (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (545 citations), Environmental Chemistry (175 citations), Nutrition and Dietetics (222 citations), Pollution (130 citations) and Cell Biology (106 citations). Chin-Ching Wu has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Chin‐Chuan Su, Ya‐Wen Chen, Ching‐Yao Yang, Shing‐Hwa Liu, Tien-Hui Lu, Dong‐Zong Hung, Chun-Fa Huang, Cheng‐Chieh Yen, Kuo‐Liang Chen and Feng‐Cheng Tang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Toxicology Letters, Obesity Surgery, PLoS ONE and The Science of The Total Environment.

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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