J.S. Bailey

6.8k citations
172 papers · 5.1k indexed · h-index 40

J.S. Bailey

171 papers receiving 4.7k citations

Peers

J.S. Bailey
Comparison fields: 5 of 114
  • Animal Science and Zoology 2.4k
  • Food Science 3.6k
  • Biotechnology 1.5k
  • Endocrinology 385
  • Infectious Diseases 902
Replace G.C. Mead with:
G.C. Mead United Kingdom
N.A. Cox United States
M.E. Berrang United States
Norman J. Stern United States
Richard K. Gast United States
Donald E. Corrier United States
Lieve Herman Belgium
Gregory R. Siragusa United States
Winy Messens Belgium
Michael E. Hume United States
J.S. Bailey relative to G.C. Mead United Kingdom G.C. Mead's profile →
Citations per field
00.5×
G.C. Mead · 1×
Citations per year

Countries citing papers authored by J.S. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Bailey. 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 J.S. Bailey. The network helps show where J.S. Bailey may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201129
2
Detection of Campylobacter from broiler carcass rinse samples utilizing the TECRA Visual Immunoassay (VIA)
20081
3 200637
4 200581
5 200568
6 199471
7 199294
8 199115
9 1991192
10 1990110
11 19906
12 199039
13
Factors affecting microbial competitive exclusion in poultry
198741
14 19873
15 198493
16 198429
17 19848
18 19815
19 197916
20 197842

About J.S. Bailey

J.S. Bailey is a scholar working on Animal Science and Zoology, Food Science and Biotechnology, having authored 172 papers that have together received 5.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (109 papers), Animal Nutrition and Physiology (71 papers), Listeria monocytogenes in Food Safety (49 papers), Food Safety and Hygiene (32 papers), Viral gastroenteritis research and epidemiology (17 papers), Meat and Animal Product Quality (16 papers), Identification and Quantification in Food (15 papers) and Probiotics and Fermented Foods (15 papers). The work is most often cited by research in Animal Science and Zoology (2.4k citations), Food Science (3.6k citations) and Biotechnology (1.5k citations). J.S. Bailey has collaborated with scholars based in United States, Australia and France. Frequent co-authors include N.A. Cox, L.C. Blankenship, M.E. Berrang, Norman J. Stern, James E. Thomson, N.J. Stern, S.E. Craven, D.E. Cosby, Paula J. Fedorka–Cray and R.J. Buhr. Their work appears in journals such as Poultry Science, Journal of Food Protection, The Journal of Applied Poultry Research, Avian Diseases and Journal of Food Science.

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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