Eric W. Brown

229 papers receiving 6.6k citations

Peers

Eric W. Brown
Comparison fields: 5 of 149
  • Endocrinology 1.4k
  • Biotechnology 1.7k
  • Food Science 3.2k
  • Molecular Medicine 508
  • Virology 280
Replace Wolfgang Rabsch with:
Wolfgang Rabsch Germany
Christine Pourcel France
Katelijne Dierick Belgium
Karl Pedersen Denmark
Sou‐ichi Makino Japan
Narelle Fegan Australia
José Francisco Fernández‐Garayzábal Spain
Martin Hunt United Kingdom
Jochen Blom Germany
B. Holmes Nepal
Eric W. Brown relative to Wolfgang Rabsch Germany Wolfgang Rabsch's profile →
Citations per field
00.5×5.4×
Wolfgang Rabsch · 1×
Citations per year

Countries citing papers authored by Eric W. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Eric W. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric W. Brown. 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 Eric W. Brown. The network helps show where Eric W. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016267
2 2013200
3 1999148
4 2016140
5 2019139
6 2017127
7 2016123
8 2014122
9 2012119
10 2013114
11 2009110
12 2016109
13 2013106
14 2013106
15 1994104
16 201499
17 200897
18 201294
19 201193
20 199691

About Eric W. Brown

Eric W. Brown is a scholar working on Food Science, Biotechnology, Molecular Biology, Endocrinology and Ecology, having authored 237 papers that have together received 6.8k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (122 papers), Listeria monocytogenes in Food Safety (75 papers), Bacteriophages and microbial interactions (46 papers), Genomics and Phylogenetic Studies (37 papers), Vibrio bacteria research studies (26 papers), Viral gastroenteritis research and epidemiology (25 papers), Escherichia coli research studies (25 papers) and Identification and Quantification in Food (21 papers). The work is most often cited by research in Endocrinology (1.4k citations), Biotechnology (1.7k citations), Food Science (3.2k citations), Molecular Medicine (508 citations) and Virology (280 citations). Eric W. Brown has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Marc W. Allard, Errol Strain, Narjol González‐Escalona, Andrea Ottesen, Steven M. Musser, Ruth Timme, Jie Zheng, Jianghong Meng, Stephen J. O’Brien and Thomas S. Hammack. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology, Frontiers in Microbiology, Journal of Food Protection and Journal of Clinical 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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