Gail Betts

1.5k citations
19 papers · 1.1k indexed · 1 hit paper · h-index 8

Gail Betts

13 papers receiving 1.1k citations

Hit Papers

Membrane Toxicity of Antimicrobial Compounds from Essenti...5302007202620132019100200300400500

Peers

Gail Betts
Comparison fields: 5 of 97
  • Food Science 783
  • Biotechnology 198
  • Biochemistry 91
  • Animal Science and Zoology 129
  • Drug Discovery 2
Replace Rosangela Di Pasqua with:
Rosangela Di Pasqua Italy
Alireza Vasiee Iran
E.P.W. Kets Netherlands
Jiamu Kang China
D.A. Golden United States
Gamal Enan Egypt
Maria Lúcia da Conceição Brazil
Margarita Terentjeva Latvia
Mario Eduardo Arena Argentina
John R. Mount United States
Gail Betts relative to Rosangela Di Pasqua Italy Rosangela Di Pasqua's profile →
Citations per field
00.5×1.5×
Rosangela Di Pasqua · 1×
Citations per year

Countries citing papers authored by Gail Betts

Since Specialization
Citations

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

Fields of papers citing papers by Gail Betts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Gail Betts, 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 Gail Betts Line = papers co-authored together Gail Betts links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20242
2 20230
3 20220
4 20220
5 20191
6 20190
7 20190
8 20191
9 20170
10 20172
11 20125
12
Membrane Toxicity of Antimicrobial Compounds from Essential Oilsbreakdown →
2007530
13 2006411
14 200125
15 200134
16 200017
17 200017
18 199962
19 199529

About Gail Betts

Gail Betts is a scholar working on Biotechnology, Food Science, Animal Science and Zoology, Environmental Chemistry and Endocrinology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (8 papers), Food Safety and Hygiene (6 papers), Microbial Inactivation Methods (5 papers), Fermentation and Sensory Analysis (4 papers), Essential Oils and Antimicrobial Activity (3 papers), Meat and Animal Product Quality (3 papers), Identification and Quantification in Food (3 papers) and Microbial Metabolism and Applications (2 papers). The work is most often cited by research in Food Science (783 citations), Biotechnology (198 citations), Biochemistry (91 citations), Animal Science and Zoology (129 citations) and Drug Discovery (2 citations). Gail Betts has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Rosangela Di Pasqua, Gianluigi Mauriello, Danilo Ercolini, Patricia Linton, J.E. Gaze, W.M. Waites, Keith Warriner, Yi Chen and Michael H. Brodsky. Their work appears in journals such as Journal of AOAC International, Food Control, Journal of Agricultural and Food Chemistry, Journal of the Institute of Brewing and Journal of Food Protection.

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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