Sally V. Watt

1.1k citations
10 papers · 669 · h-index 8

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immunodeficiency and Autoimmune Disorders
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 2
    • IL-33, ST2, and ILC Pathways 2
    • Cell death mechanisms and regulation 2
    • Inflammasome and immune disorders 2

Sally V. Watt

10 papers receiving 663 citations

Peers

Sally V. Watt
Comparison fields: 5 of 71
  • Immunology 498
  • Rheumatology 110
  • Hematology 45
  • Physiology 13
  • Virology 12
Replace André van Maurik with:
André van Maurik United Kingdom
Inka Albrecht Germany
James C. Brooks United States
Federica Capolunghi Italy
Jason M. Bannock United States
Qingyu Cheng Germany
Janne Ø. Bohnhorst Norway
Thamara Beyer Germany
Calogero Tulone United Kingdom
Magdalena Hagn Australia
Sally V. Watt relative to André van Maurik United Kingdom André van Maurik's profile →
Citations per field
00.5×4.3×
André van Maurik · 1×
Citations per year

Countries citing papers authored by Sally V. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Sally V. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally V. Watt. 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 Sally V. Watt. The network helps show where Sally V. Watt may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2007302
2 2010125
3 201080
4 200851
5 201245
6 201427
7 200719
8 201115
9 20203
10 20242

About Sally V. Watt

Sally V. Watt is a scholar working on Immunology, Molecular Biology, Epidemiology, Physiology and Oncology, having authored 10 papers that have together received 669 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (2 papers), Cell death mechanisms and regulation (2 papers), Inflammasome and immune disorders (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Adenosine and Purinergic Signaling (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Immunology (498 citations), Rheumatology (110 citations), Hematology (45 citations), Physiology (13 citations) and Virology (12 citations). Sally V. Watt has collaborated with scholars based in Australia, Japan and France. Frequent co-authors include Mark J. Smyth, Daniel M. Andrews, Joseph A. Trapani, Shane T. Grey, Stacey N. Walters, Fabienne Mackay, Charles R. Mackay, Matthew J. Sweet, Carrie A. Fletcher and Joanna R. Groom. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Journal of Leukocyte Biology, Nature Immunology and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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