Gillian E. Wu

2.0k citations
65 papers · 1.5k indexed · h-index 22

Impact in

Papers in

    • T-cell and B-cell Immunology 31
    • Immune Cell Function and Interaction 24
    • Immunodeficiency and Autoimmune Disorders 12
    • Immunotherapy and Immune Responses 4

Gillian E. Wu

64 papers receiving 1.4k citations

Peers

Gillian E. Wu
Comparison fields: 5 of 102
  • Immunology 777
  • Cellular and Molecular Neuroscience 219
  • Hematology 113
  • Radiology, Nuclear Medicine and Imaging 220
  • Molecular Biology 645
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Tim VandenBos United States
Nelly Noraz France
Valérie Pinet France
Sylvia L. Anderson United States
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F L Battye Australia
T. Wilson United States
Hans-Joachim Schoenfeld Switzerland
David L. Ennist United States
Ken-ichi Arai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gillian E. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Gillian E. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201417
2 20123
3 20106
4 201034
5 200812
6 20079
7 200554
8 20043
9 200321
10 200211
11 200225
12 20017
13 200019
14 2000249
15 19997
16 199826
17 199744
18 19951
19 19937
20 19933

About Gillian E. Wu

Gillian E. Wu is a scholar working on Medical Terminology, Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Molecular Biology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (31 papers), Immune Cell Function and Interaction (24 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Immunodeficiency and Autoimmune Disorders (12 papers), Glycosylation and Glycoproteins Research (10 papers), vaccines and immunoinformatics approaches (7 papers), Influenza Virus Research Studies (6 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (777 citations), Cellular and Molecular Neuroscience (219 citations), Hematology (113 citations), Radiology, Nuclear Medicine and Imaging (220 citations) and Molecular Biology (645 citations). Gillian E. Wu has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Christopher J. Paige, Caren Furlonger, Liwei Lu, Yu Zhang, Aaron J. Marshall, Susanna M. Lewis, Helios Murialdo, Nobumichi Hozumi, Bhargavi Duvvuri and Heather E. Fleming. Their work appears in journals such as The Journal of Immunology, Immunogenetics, European Journal of Immunology, Seminars in Immunology and International 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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