Dawei Ou

717 citations
31 papers · 627 · h-index 16

Impact in

    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Diabetes and associated disorders

Papers in

    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 3
    • vaccines and immunoinformatics approaches 13
    • Viral Infectious Diseases and Gene Expression in Insects 1

Dawei Ou

31 papers receiving 606 citations

Peers

Dawei Ou
Comparison fields: 5 of 55
  • Immunology 147
  • Genetics 136
  • Oncology 72
  • Epidemiology 89
  • Rheumatology 34
Replace Evelyn Rodrigo with:
Evelyn Rodrigo United States
Tomonari Shigemura Japan
Tiziana Parrello Italy
Teresa M.J. Fritz Austria
Isaac V. Snowhite United States
Cheng Hiang Lee Australia
Erhua Zhu Australia
Bryan Coon United States
Sarah Allan Canada
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Citations per field
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Citations per year

Countries citing papers authored by Dawei Ou

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawei Ou. 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 Dawei Ou. The network helps show where Dawei Ou may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199874
2 201144
3 201244
4 200639
5 200937
6 199933
7 201327
8 199325
9 199325
10 200525
11 200523
12 200221
13 199720
14 199417
15 201116
16 201316
17 199615
18 199815
19 199214
20 199614

About Dawei Ou

Dawei Ou is a scholar working on Immunology, Molecular Biology, Genetics, Surgery and Virology, having authored 31 papers that have together received 627 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (13 papers), Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (8 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (3 papers), Rabies epidemiology and control (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Medicinal Plant Research (1 paper). The work is most often cited by research in Immunology (147 citations), Genetics (136 citations), Oncology (72 citations), Epidemiology (89 citations) and Rheumatology (34 citations). Dawei Ou has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Aubrey J. Tingle, Daniel L. Metzger, LESLIE ANN MITCHELL, Xiaojie Wang, Garth L. Warnock, Ziliang Ao, Lieping Chen, C. Bruce Verchere, Shirley Su Gillam and Jianqiang Hao. Their work appears in journals such as Human Immunology, Virology, Cell Transplantation, Transplantation and Pancreas.

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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