Eva Barrett

30 papers receiving 1.7k citations

Eva Barrett's Hit Papers

γ-Aminobutyric acid production by culturable bacteria from the human intestine 2012 · 974 citations
9740+4+9Years since publication250500750

Peers

Eva Barrett
Comparison fields: 5 of 140
  • Biological Psychiatry 296
  • Gastroenterology 192
  • Physiology 388
  • Pharmacy 68
  • Food Science 239
Replace Amy Loughman with:
Amy Loughman Australia
Sophie Legrain–Raspaud France
Ángela Moya-Pérez Spain
Amine Nejdi France
Kazufumi Yoshihara Japan
Kirsten Berding Ireland
Philip Strandwitz United States
Conall Strain Ireland
Lívia H. Morais United States
Annunziata Scirocco Italy
Eva Barrett relative to Amy Loughman Australia Amy Loughman's profile →
Citations per field
00.5×6.7×
Amy Loughman · 1×
Citations per year

Countries citing papers authored by Eva Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Eva Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
γ-Aminobutyric acid production by culturable bacteria from the human intestine
Hit paper breakdown →
2012974
2 2013132
3 2018113
4 200786
5 201181
6 201662
7 201349
8 202047
9 200730
10 201929
11 201728
12 200925
13 201820
14 201919
15 197214
16 202013
17 202113
18 202012
19 201810
20
Fermentation, cell factories and bioactive peptides: food grade bacteria for production of biogenic compounds.
20058

About Eva Barrett

Eva Barrett is a scholar working on Surgery, Food Science, Molecular Biology, Social Psychology and Artificial Intelligence, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (5 papers), Probiotics and Fermented Foods (5 papers), Fatty Acid Research and Health (3 papers), AI in Service Interactions (3 papers), Technology Use by Older Adults (3 papers), Social Robot Interaction and HRI (3 papers), Scoliosis diagnosis and treatment (3 papers) and Occupational Therapy Practice and Research (2 papers). The work is most often cited by research in Biological Psychiatry (296 citations), Gastroenterology (192 citations), Physiology (388 citations), Pharmacy (68 citations) and Food Science (239 citations). Eva Barrett has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include R. Paul Ross, Catherine Stanton, Gerald F. Fitzgerald, Paul W. O’Toole, Karen McCreesh, Jeremy Lewis, Dympna Casey, Sally Whelan, Adam Santorelli and Kathy Murphy. Their work appears in journals such as Age and Ageing, International Journal of Social Robotics, International Journal of Environmental Research and Public Health, Journal of Medical Microbiology and Journal of Bacteriology.

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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