Andrew Wight

1.0k citations
22 papers · 515 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 12
    • Immune cells in cancer 4
    • Lipid Membrane Structure and Behavior 2

Andrew Wight

21 papers receiving 488 citations

Peers

Andrew Wight
Comparison fields: 5 of 89
  • Immunology 259
  • Neurology 53
  • Biological Psychiatry 9
  • Biochemistry 20
  • Molecular Biology 180
Replace Gillian M. Tannahill with:
Gillian M. Tannahill United Kingdom
Nikolai N. Belyaev Kazakhstan
Jonathan Jung United States
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Philippe Leclerc France
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Citations per field
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Gillian M. Tannahill · 1×
Citations per year

Countries citing papers authored by Andrew Wight

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Wight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197872
2 201471
3 197868
4 202235
5 202335
6 201532
7 201428
8 201823
9 201621
10 201821
11 201520
12 201619
13 202213
14 202212
15 197912
16 202010
17 20209
18 20137
19 20234
20 20162

About Andrew Wight

Andrew Wight is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 22 papers that have together received 515 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (12 papers), CAR-T cell therapy research (4 papers), Immune cells in cancer (4 papers), Lipid Membrane Structure and Behavior (2 papers), Influenza Virus Research Studies (2 papers), Adipose Tissue and Metabolism (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Immunology (259 citations), Neurology (53 citations), Biological Psychiatry (9 citations), Biochemistry (20 citations) and Molecular Biology (180 citations). Andrew Wight has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Andrew P. Makrigiannis, Mir Munir A. Rahim, Ahmad Bakur Mahmoud, Alan F. Horwitz, Megan M. Tu, Rosemary B. Cornell, P. Ludwig, Daniel Axelrod, W. W. Webb and Elias Abou-Samra. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Nature Communications, The Journal of Cell Biology and PLoS Pathogens.

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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