Douglass Wu

3.6k citations
18 papers · 3.0k indexed · 2 hit papers · h-index 18
Topics
Immune Cell Function and Interaction (16 papers)T-cell and B-cell Immunology (9 papers)Immunotherapy and Immune Responses (4 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Douglass Wu

18 papers receiving 2.9k citations

Hit Papers

Recognition of bacterial glycosphingolipids by natural ki...200520262012201920052006200400600

Peers

Douglass Wu
Comparison fields: 5 of 101
  • Immunology 2.2k
  • Molecular Biology 592
  • Oncology 370
  • Infectious Diseases 332
  • Organic Chemistry 284
Replace Carlos Cantu with:
Carlos Cantu United States
Alexandre Morrot Brazil
Łukasz Kedzierski Australia
Zakaria Hmama Canada
Fernando Rock United States
Sarah A. Stanley United States
Patricia Constant France
Kim C. Williamson United States
Luis M. Schang Canada
Christina L. Stallings United States
Douglass Wu relative to Carlos Cantu United States Carlos Cantu's profile →
Citations per field
00.5×3.2×
Carlos Cantu · 1×
Citations per year

Countries citing papers authored by Douglass Wu

Since Specialization
Citations

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

Fields of papers citing papers by Douglass Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglass Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Douglass Wu. A scholar is included among the top collaborators of Douglass Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Douglass Wu. Douglass Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 17
2 37
3 150
4 38
5 48
6 50
7 139
8 103
9 83
10
Natural killer T cells recognize diacylglycerol antigens from pathogenic bacteriabreakdown →
496
11 102
12 114
13 43
14 162
15
Recognition of bacterial glycosphingolipids by natural killer T cellsbreakdown →
742
16 189
17 406
18 35

About Douglass Wu

Douglass Wu is a scholar working on Immunology, Virology and Biotechnology, having authored 18 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (2.2k citations), Infectious Diseases (332 citations) and Physiology (66 citations). Douglass Wu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Chi‐Huey Wong, Moriya Tsuji, Masakazu Fujio, David D. Ho, Yuki Kinjo, Mitchell Kronenberg, Michael A. Poles, Guo‐wen Xing, Kazuyoshi Kawahara and Gisen Kim. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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