Amy Saunders

598 citations
17 papers · 436 · h-index 11

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 4
    • Immune Response and Inflammation 3
    • IL-33, ST2, and ILC Pathways 2
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 1

Amy Saunders

16 papers receiving 430 citations

Peers

Amy Saunders
Comparison fields: 5 of 76
  • Virology 58
  • Immunology 174
  • Infectious Diseases 75
  • Physiology 17
  • Rehabilitation 14
Replace Jhen Tsang with:
Jhen Tsang United Kingdom
Gabriel Duette Argentina
Jiyi Yin United States
Arron Hearn United Kingdom
C. G. Munn United States
Elizabeth A. Schwarzkopf United States
Carol A. Ayala United States
Catherine M. Crosby United States
Cristine J. Cooper United States
Amy Saunders relative to Jhen Tsang United Kingdom Jhen Tsang's profile →
Citations per field
00.5×1.5×2×2.4×
Jhen Tsang · 1×
Citations per year

Countries citing papers authored by Amy Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Amy Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009125
2 201175
3 201051
4 201044
5 201029
6 202019
7 200618
8 202115
9 202113
10 200912
11 202112
12 20239
13 20147
14 20224
15 20122
16 20171
17 20250

About Amy Saunders

Amy Saunders is a scholar working on Immunology, Infectious Diseases, Surgery, Molecular Biology and Virology, having authored 17 papers that have together received 436 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers), Immune Response and Inflammation (3 papers), IL-33, ST2, and ILC Pathways (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Nanoporous metals and alloys (1 paper), Epigenetics and DNA Methylation (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Virology (58 citations), Immunology (174 citations), Infectious Diseases (75 citations), Physiology (17 citations) and Rehabilitation (14 citations). Amy Saunders has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Pauline Johnson, Wendy Bernhard, Ivan Sadowski, Kris Barreto, Matthew S. Dahabieh, Geoffrey W. Butcher, Amanda Hutchings, John C. Pascall, Annette Sterr and Christine Carter. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Cell Death Discovery, Neurorehabilitation and Malaria Journal.

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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