Ying‐Chun Dou

498 citations
14 papers · 402 · h-index 10

Impact in

    • Dermatology and Skin Diseases
  • Neurology top 10%
    • Myasthenia Gravis and Thymoma
    • Peripheral Neuropathies and Disorders

Papers in

    • Myasthenia Gravis and Thymoma 4
    • Peripheral Neuropathies and Disorders 3
    • Cytokine Signaling Pathways and Interactions 3

Ying‐Chun Dou

14 papers receiving 397 citations

Peers

Ying‐Chun Dou
Comparison fields: 5 of 64
  • Dermatology 84
  • Neurology 98
  • Immunology and Allergy 32
  • Immunology 113
  • Rheumatology 51
Replace Haritz Irizar with:
Haritz Irizar United States
David Perret France
Adam J. Wieschhaus United States
Liza Rijvers Netherlands
M Chiba Japan
Bianca Saveria Fioretto Italy
Margherita Aglianò Italy
Fereshteh Alsahebfosoul Iran
Zela Keuylian France
Marcela T Taruselli United States
Ying‐Chun Dou relative to Haritz Irizar United States Haritz Irizar's profile →
Citations per field
00.5×8.9×
Haritz Irizar · 1×
Citations per year

Countries citing papers authored by Ying‐Chun Dou

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Chun Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Chun Dou. 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 Ying‐Chun Dou. The network helps show where Ying‐Chun Dou may publish in the future.

Co-authors

The 25 scholars most cited alongside Ying‐Chun Dou, 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 Ying‐Chun Dou Line = papers co-authored together Ying‐Chun Dou links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200699
2 202065
3 201158
4 201642
5 201338
6 201918
7 202117
8 201215
9 201915
10 200911
11 20189
12 20236
13 20186
14 20163

About Ying‐Chun Dou

Ying‐Chun Dou is a scholar working on Neurology, Oncology, Immunology, Molecular Biology and Dermatology, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (4 papers), Peripheral Neuropathies and Disorders (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), T-cell and B-cell Immunology (2 papers), Dermatology and Skin Diseases (2 papers), Systemic Lupus Erythematosus Research (2 papers), Extracellular vesicles in disease (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Dermatology (84 citations), Neurology (98 citations), Immunology and Allergy (32 citations), Immunology (113 citations) and Rheumatology (51 citations). Ying‐Chun Dou has collaborated with scholars based in China, Sweden and Slovakia. Frequent co-authors include Rui‐Sheng Duan, Lennart Emtestam, Ӧlle Johansson, Lena Hagströmer, Heng Li, Xiaoli Li, Chunlin Yang, Tong Du, Yudong Liu and Long-Tao Yue. Their work appears in journals such as Journal of Neuroinflammation, Journal of Neuroimmunology, Archives of Dermatological Research, Molecular and Cellular Neuroscience and Cellular Immunology.

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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