Ron Read

54 papers receiving 1.5k citations

Peers

Ron Read
Comparison fields: 5 of 66
  • Applied Microbiology and Biotechnology 201
  • Molecular Medicine 457
  • Microbiology 433
  • Microbiology 31
  • Endocrinology 74
Replace Jorge Luiz Mello Sampaio with:
Jorge Luiz Mello Sampaio Brazil
Silvia García-Cobos Spain
Kaitlin A. Tagg United States
Claire Nonhoff Belgium
Brenda C. Love United States
Satowa Suzuki Japan
Joshua B. Daniels United States
Marleen Magdalena Kock South Africa
Vivian M. Nicholson Canada
Jiru Xu United Kingdom
Ron Read relative to Jorge Luiz Mello Sampaio Brazil Jorge Luiz Mello Sampaio's profile →
Citations per field
00.5×2×4×5.2×
Jorge Luiz Mello Sampaio · 1×
Citations per year

Countries citing papers authored by Ron Read

Since Specialization
Citations

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

Fields of papers citing papers by Ron Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 2008115
3 201490
4 201379
5 200971
6 200566
7 200963
8 201054
9 200846
10 200641
11 201941
12 201039
13 201439
14 201735
15 200634
16 201929
17 201327
18 201527
19 202027
20 200824

About Ron Read

Ron Read is a scholar working on Microbiology, Molecular Medicine, Pollution, Applied Microbiology and Biotechnology and Endocrinology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive tract infections research (22 papers), Antibiotic Resistance in Bacteria (15 papers), Syphilis Diagnosis and Treatment (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Escherichia coli research studies (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Antibiotic Use and Resistance (4 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (201 citations), Molecular Medicine (457 citations), Microbiology (433 citations), Microbiology (31 citations) and Endocrinology (74 citations). Ron Read has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tim Angus McAllister, Ameeta Singh, L. J. Yanke, Shaun R. Cook, Jennifer Gratrix, Douglas Walter Morck, Rahat Zaheer, Edward Topp, Calvin W. Booker and Merle S. Olson. Their work appears in journals such as Sexually Transmitted Diseases, Journal of Clinical Microbiology, Sexually Transmitted Infections, Applied and Environmental Microbiology and BMJ Open.

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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