Gabrielle Stack

404 citations
9 papers · 221 · h-index 7

Impact in

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

Papers in

    • IL-33, ST2, and ILC Pathways 2
    • Immune Cell Function and Interaction 2
    • Salmonella and Campylobacter epidemiology 4

Gabrielle Stack

8 papers receiving 221 citations

Peers

Gabrielle Stack
Comparison fields: 5 of 55
  • Endocrinology 42
  • Immunology 92
  • Food Science 42
  • Infectious Diseases 42
  • Molecular Medicine 11
Replace Françoise Donnadieu with:
Françoise Donnadieu France
Zsuzsanna Kovách Australia
Maximilian Rieß United States
Guruswamy Karnam India
Paul R. C. Imbert France
Jasmine Ramirez United States
Katrin Ehrhardt Germany
Paula Niewold Australia
Hugo E. Tobar Chile
Mark A. Boyer United States
Gabrielle Stack relative to Françoise Donnadieu France Françoise Donnadieu's profile →
Citations per field
00.5×1.5×2.2×
Françoise Donnadieu · 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 201457
2 201736
3 201735
4 201634
5 201922
6 201219
7 201513
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 221 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), IL-33, ST2, and ILC Pathways (2 papers), Bacterial Genetics and Biotechnology (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Endocrinology (42 citations), Immunology (92 citations), Food Science (42 citations), Infectious Diseases (42 citations) and Molecular Medicine (11 citations). Gabrielle Stack has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Maria A. Stacey, Ian R. Humphreys, Jorge E. Galán, Xiang Gao, Casey C. Fowler, Alec Redwood, Silvia Gimeno Brias, Shu-Jung Chang, Tobias Geiger and Xuyao Jiao. Their work appears in journals such as Nature Microbiology, PLoS Pathogens, Infection and Immunity, Nature Communications 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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