John B. Barrett

57 papers receiving 1.9k citations

Peers

John B. Barrett
Comparison fields: 5 of 102
  • Molecular Medicine 457
  • Clinical Biochemistry 305
  • Infectious Diseases 715
  • Endocrinology 197
  • Applied Microbiology and Biotechnology 57
Replace María de Toro with:
María de Toro Spain
Christine F. Favier Netherlands
Thi Thu Hao Van Australia
Mariano E. Fernández-Miyakawa Argentina
Tom S. Edrington United States
Jae Young Oh South Korea
Tânia Curião Spain
Jung‐Whan Chon South Korea
Leen Timbermont Belgium
Mohammad Reza Pourshafie Iran
John B. Barrett relative to María de Toro Spain María de Toro's profile →
Citations per field
00.5×4.2×
María de Toro · 1×
Citations per year

Countries citing papers authored by John B. Barrett

Since Specialization
Citations

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

Fields of papers citing papers by John B. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004374
2 2013127
3 2019113
4 200492
5 200982
6 201367
7 200662
8 200161
9 201456
10 201848
11 200947
12 201546
13 200838
14 199036
15 201635
16 201335
17 200334
18 201833
19 201932
20 201430

About John B. Barrett

John B. Barrett is a scholar working on Infectious Diseases, Molecular Medicine, Food Science, Endocrinology and Molecular Biology, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (23 papers), Antibiotic Resistance in Bacteria (18 papers), Salmonella and Campylobacter epidemiology (12 papers), Escherichia coli research studies (8 papers), Bacterial Identification and Susceptibility Testing (8 papers), Bacteriophages and microbial interactions (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Molecular Medicine (457 citations), Clinical Biochemistry (305 citations), Infectious Diseases (715 citations), Endocrinology (197 citations) and Applied Microbiology and Biotechnology (57 citations). John B. Barrett has collaborated with scholars based in United States, Egypt and Nigeria. Frequent co-authors include Charlene R. Jackson, Paula J. Fedorka–Cray, Jonathan G. Frye, Lari M. Hiott, Johnnie A. Davis, C.R. Barb, Tiffanie A. Woodley, Robert R. Kraeling, Scott R. Ladely and George B. Rampacek. Their work appears in journals such as Domestic Animal Endocrinology, Journal of Applied Microbiology, Foodborne Pathogens and Disease, PLoS ONE and Avian Diseases.

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.

Explore authors with similar magnitude of impact