Gabrielle Stack

408 citations
11 papers · 320 · h-index 9

Impact in

    • Escherichia coli research studies
    • interferon and immune responses
    • Toxin Mechanisms and Immunotoxins
    • T-cell and B-cell Immunology

Papers in

    • Salmonella and Campylobacter epidemiology 5
    • Toxin Mechanisms and Immunotoxins 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Immune Cell Function and Interaction 1

Gabrielle Stack

11 papers receiving 317 citations

Peers

Gabrielle Stack
Comparison fields: 5 of 48
  • Endocrinology 32
  • Immunology 109
  • Food Science 71
  • Epidemiology 52
  • Microbiology 8
Replace Nicholas A. Eisele with:
Nicholas A. Eisele United States
Ruth E. Coughlan United Kingdom
Dorothée L. Berthold United Kingdom
Jorge E. Mora Chile
Wan Jin Hong Singapore
Jayaum S. Booth United States
Holger C. Müller Germany
Vincent S. Tchang Switzerland
Mark A. Boyer United States
Hope O’Donnell United States
Gabrielle Stack relative to Nicholas A. Eisele United States Nicholas A. Eisele's profile →
Citations per field
00.5×1.5×1.9×
Nicholas A. Eisele · 1×
Citations per year

Countries citing papers authored by Gabrielle Stack

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201462
2 201740
3 201740
4 201740
5 201636
6 201934
7 201925
8 201219
9 201518
10 20205
11 20251

About Gabrielle Stack

Gabrielle Stack is a scholar working on Food Science, Immunology, Endocrinology, Epidemiology and Oncology, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Toxin Mechanisms and Immunotoxins (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Escherichia coli research studies (2 papers), Bacterial Infections and Vaccines (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Immune Cell Function and Interaction (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Endocrinology (32 citations), Immunology (109 citations), Food Science (71 citations), Epidemiology (52 citations) and Microbiology (8 citations). Gabrielle Stack has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ian Robert Humphreys, Maria A. Stacey, Jorge E. Galán, Casey C. Fowler, Xiang Gao, Tobias Geiger, Shu-Jung Chang, Silvia Gimeno Brias, ALEC JAMES REDWOOD and Xuyao Jiao. Their work appears in journals such as Nature Microbiology, Journal of Clinical Investigation, Frontiers in Immunology, PLoS Pathogens and Cell Host & Microbe.

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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