Hannah E. Gavin

548 citations
12 papers · 403 · h-index 9

Impact in

Papers in

    • Vibrio bacteria research studies 8
    • Escherichia coli research studies 2
    • Bacterial biofilms and quorum sensing 2
    • FOXO transcription factor regulation 1
    • Genomics and Phylogenetic Studies 1

Hannah E. Gavin

12 papers receiving 403 citations

Peers

Hannah E. Gavin
Comparison fields: 5 of 65
  • Endocrinology 165
  • Molecular Medicine 25
  • Ecology 122
  • Genetics 132
  • Immunology 98
Replace Brandon Sit with:
Brandon Sit United States
Stefan Behr Germany
Cristina Giogha Australia
Gwladys Sevrin France
Xiaofang Zhu China
Ritesh Ranjan Pal India
Kyung Ku Jang South Korea
Elodie Ramond France
Keith S. Robinson United Kingdom
Bernadette M. Meberg United States
Hannah E. Gavin relative to Brandon Sit United States Brandon Sit's profile →
Citations per field
00.5×8.5×
Brandon Sit · 1×
Citations per year

Countries citing papers authored by Hannah E. Gavin

Since Specialization
Citations

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

Fields of papers citing papers by Hannah E. Gavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah E. Gavin. 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 Hannah E. Gavin. The network helps show where Hannah E. Gavin may publish in the future.

Co-authors

The 24 scholars most cited alongside Hannah E. Gavin, 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 Hannah E. Gavin Line = papers co-authored together Hannah E. Gavin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2021118
2 201494
3 201551
4 201536
5 201734
6 201725
7 201814
8 201714
9 201713
10 20232
11 20231
12 20221

About Hannah E. Gavin

Hannah E. Gavin is a scholar working on Endocrinology, Molecular Biology, Genetics, Food Science and Oncology, having authored 12 papers that have together received 403 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (8 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacterial biofilms and quorum sensing (2 papers), Escherichia coli research studies (2 papers), FOXO transcription factor regulation (1 paper), Genomics and Phylogenetic Studies (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Endocrinology (165 citations), Molecular Medicine (25 citations), Ecology (122 citations), Genetics (132 citations) and Immunology (98 citations). Hannah E. Gavin has collaborated with scholars based in United States, Spain and France. Frequent co-authors include K.J.F. Satchell, Byoung Sik Kim, P. Kay Lund, Scott T. Magness, Laurianne Van Landeghem, Martin F. Polz, Fatima A. Hussain, Kathryn M. Kauffman, Philip Arevalo and Javier Dubert. Their work appears in journals such as PLoS Pathogens, Frontiers in Psychiatry, Pathogens and Disease, Science and BMC Microbiology.

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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