Wei‐Ling Tsou

877 citations
24 papers · 654 · h-index 14

Impact in

Papers in

Wei‐Ling Tsou

23 papers receiving 647 citations

Peers

Wei‐Ling Tsou
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 314
  • Pollution 112
  • Molecular Biology 468
  • Aging 10
  • Neurology 78
Replace Lena Will with:
Lena Will Netherlands
Gonzalo Blanco United Kingdom
Max Salganik United States
Mikio Sasoh Japan
Paola A. Lopez United States
Archi Joardar United States
Daisuke Takei Japan
Jeongwoo Kwon South Korea
Andreas Brachner Austria
Chuanyu Liu China
Wei‐Ling Tsou relative to Lena Will Netherlands Lena Will's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wei‐Ling Tsou

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ling Tsou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ling Tsou. 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‐Ling Tsou. The network helps show where Wei‐Ling Tsou may publish in the future.

Co-authors

The 21 scholars most cited alongside Wei‐Ling Tsou, 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‐Ling Tsou Line = papers co-authored together Wei‐Ling Tsou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020125
2 201463
3 201458
4 201258
5 201350
6 201545
7 201538
8 201737
9 201432
10 201123
11 201621
12 201920
13 202019
14 202214
15 201613
16 202213
17 202110
18 20205
19 20234
20 20242

About Wei‐Ling Tsou

Wei‐Ling Tsou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Cell Biology, having authored 24 papers that have together received 654 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (18 papers), Mitochondrial Function and Pathology (15 papers), Ubiquitin and proteasome pathways (12 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (314 citations), Pollution (112 citations), Molecular Biology (468 citations), Aging (10 citations) and Neurology (78 citations). Wei‐Ling Tsou has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Sokol V. Todi, Jessica R. Blount, Michelle Ouyang, K. Matthew Scaglione, Danielle Meyer, Tracie R. Baker, Camille Akemann, Henry L. Paulson, Bridget B. Baker and Yongli Zhang. Their work appears in journals such as Neurobiology of Disease, Frontiers in Molecular Neuroscience, Human Molecular Genetics, Journal of Biological Chemistry and Scientific Reports.

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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