John Bates

50 papers receiving 1.5k citations

Peers

John Bates
Comparison fields: 5 of 122
  • Pollution 401
  • Endocrinology 154
  • Molecular Medicine 101
  • Applied Microbiology and Biotechnology 39
  • Microbiology 113
Replace M. Papapetropoulou with:
M. Papapetropoulou Greece
Habib Bokhari Pakistan
Marthie M. Ehlers South Africa
Mohammad Kargar Iran
Carlos Emílio Levy Brazil
Munawar Sultana Bangladesh
Steffen Engelhart Germany
Shawn G. Gibbs United States
Hong Fang China
Alain Lozniewski France
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Citations per field
00.5×4.3×
M. Papapetropoulou · 1×
Citations per year

Countries citing papers authored by John Bates

Since Specialization
Citations

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

Fields of papers citing papers by John Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004459
2 2008109
3 1982104
4 201082
5 199767
6 199665
7 200652
8 200750
9 199948
10 200447
11 200443
12 201030
13 201429
14 200728
15 200526
16 199425
17 200425
18 201324
19 200421
20 200620

About John Bates

John Bates is a scholar working on Food Science, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Microbiology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Bacterial Infections and Vaccines (6 papers), Listeria monocytogenes in Food Safety (5 papers), Cardiovascular Function and Risk Factors (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Fecal contamination and water quality (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Pollution (401 citations), Endocrinology (154 citations), Molecular Medicine (101 citations), Applied Microbiology and Biotechnology (39 citations) and Microbiology (113 citations). John Bates has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include S. D. Costanzo, John Murby, Gregor Lawrence, Bixing Huang, Mohammad Katouli, Douglas S. Segar, Stephen G. Sawada, Thomas Ryan, R.S. Miles and Adam J. Merritt. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Medical Microbiology, Journal of the American Society of Echocardiography, Applied and Environmental Microbiology and Diagnostic Microbiology and Infectious Disease.

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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