Gabrielle Stack

413 citations
9 papers · 230 · h-index 7

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
    • Immune Cell Function and Interaction

Papers in

    • Immune Cell Function and Interaction 2
    • IL-33, ST2, and ILC Pathways 2
    • Aquaculture disease management and microbiota 1
    • Salmonella and Campylobacter epidemiology 4

Gabrielle Stack

8 papers receiving 230 citations

Peers

Gabrielle Stack
Comparison fields: 5 of 53
  • Endocrinology 42
  • Immunology 94
  • Infectious Diseases 40
  • Molecular Medicine 11
  • Food Science 41
Replace Hugo E. Tobar with:
Hugo E. Tobar Chile
Paul R. C. Imbert France
Zsuzsanna Kovách Australia
Mark A. Boyer United States
Guruswamy Karnam India
Jasmine Ramirez United States
Juliane Krebes Germany
Paula Niewold Australia
Maximilian Rieß United States
Roberto A. Chavez United States
Gabrielle Stack relative to Hugo E. Tobar Chile Hugo E. Tobar's profile →
Citations per field
00.5×1.5×
Hugo E. Tobar · 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

9 of 9 papers shown
#Work
1 201459
2 201738
3 201738
4 201634
5 201923
6 201219
7 201514
8 20205
9 20250

About Gabrielle Stack

Gabrielle Stack is a scholar working on Immunology, Food Science, Infectious Diseases, Genetics and Endocrinology, having authored 9 papers that have together received 230 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Bacterial Genetics and Biotechnology (2 papers), Immune Cell Function and Interaction (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Aquaculture disease management and microbiota (1 paper), Adenosine and Purinergic Signaling (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Endocrinology (42 citations), Immunology (94 citations), Infectious Diseases (40 citations), Molecular Medicine (11 citations) and Food Science (41 citations). Gabrielle Stack has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Maria A. Stacey, Ian R. Humphreys, Jorge E. Galán, Xiang Gao, Casey C. Fowler, Alec Redwood, Silvia Gimeno Brias, Tobias Geiger, Shu-Jung Chang and Marı́a Lara-Tejero. Their work appears in journals such as Nature Microbiology, Infection and Immunity, Current Opinion in Microbiology, Cell Host & Microbe and Frontiers in 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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