Ching-Wen Wu

1.1k citations
20 papers · 834 · h-index 10

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

Ching-Wen Wu

19 papers receiving 823 citations

Peers

Ching-Wen Wu
Comparison fields: 5 of 93
  • Developmental Neuroscience 62
  • Neurology 123
  • Complementary and alternative medicine 99
  • Cellular and Molecular Neuroscience 228
  • Genetics 105
Replace Joanna Kosacka with:
Joanna Kosacka Germany
Giou-Teng Yiang Taiwan
Maria-Giulia Perrelli Italy
Ya‐Shuo Zhao China
Qin Yang China
Pengzhou Hang China
Nian‐Sheng Li China
Min Jeong Ryu South Korea
Cansheng Zhu China
Mariagrazia Rinaldi Italy
Ching-Wen Wu relative to Joanna Kosacka Germany Joanna Kosacka's profile →
Citations per field
00.5×3.4×
Joanna Kosacka · 1×
Citations per year

Countries citing papers authored by Ching-Wen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Wen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2007243
2 2005131
3 2004129
4 2008111
5 202362
6 200339
7 201736
8 200918
9 202017
10 201913
11 20227
12 20056
13 20196
14 20195
15 20233
16 20203
17
Combined analysis of serum lactic dehydrogenase levels and isozyme patterns in ovarian neoplasms.
19912
18 20222
19 20251
20 20210

About Ching-Wen Wu

Ching-Wen Wu is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Epidemiology, Neurology and Biochemistry, having authored 20 papers that have together received 834 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (5 papers), Climate Change and Health Impacts (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Air Quality Monitoring and Forecasting (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Developmental Neuroscience (62 citations), Neurology (123 citations), Complementary and alternative medicine (99 citations), Cellular and Molecular Neuroscience (228 citations) and Genetics (105 citations). Ching-Wen Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Su‐Lan Liao, Yen‐Chuan Ou, Tsung-Kuei Kao, Chun‐Jung Chen, Chun‐Jung Chen, Wen‐Yin Chen, Wen‐Ying Chen, Yong‐San Huang, Shih‐Yun Chen and Shan‐hui Hsu. Their work appears in journals such as Journal of Toxicology and Environmental Health, Toxicologic Pathology, Toxicology Letters, Cell Reports and Hepatology.

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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