Randall S. Singer

150 papers receiving 5.3k citations

Peers

Randall S. Singer
Comparison fields: 5 of 159
  • Molecular Medicine 1.3k
  • Applied Microbiology and Biotechnology 280
  • Endocrinology 633
  • Pollution 1.4k
  • Food Science 1.4k
Replace Juan J. Carrique-Mas with:
Juan J. Carrique-Mas United Kingdom
Nicola J. Williams United Kingdom
Heather K. Allen United States
Lieve Herman Belgium
Thomas E. Wittum United States
Wondwossen Abebe Gebreyes United States
Hilde Kruse Norway
Karl Pedersen Denmark
MARY D. BARTON Australia
Ernesto Liébana United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Randall S. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Randall S. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2003240
3 2012210
4 2019189
5 2016164
6 2009155
7 2013146
8 2011136
9 2006135
10 2006134
11 1998127
12 2002118
13 2019114
14 2010103
15 201983
16 201582
17 200980
18 201278
19 200876
20 201476

About Randall S. Singer

Randall S. Singer is a scholar working on Pollution, Molecular Medicine, Microbiology, Food Science and Endocrinology, having authored 151 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (49 papers), Salmonella and Campylobacter epidemiology (33 papers), Antibiotic Resistance in Bacteria (26 papers), Microbial infections and disease research (25 papers), Gut microbiota and health (12 papers), Antibiotic Use and Resistance (12 papers), Escherichia coli research studies (11 papers) and Aquaculture disease management and microbiota (11 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Applied Microbiology and Biotechnology (280 citations), Endocrinology (633 citations), Pollution (1.4k citations) and Food Science (1.4k citations). Randall S. Singer has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Richard E. Isaacson, Srinand Sreevatsan, Charles L. Hofacre, Klaudyna Borewicz, Timothy J. Johnson, Marc Lipsitch, Hyeun Bum Kim, Bryan A. White, Zheng Jin Tu and Jessica S Williams-Nguyen. Their work appears in journals such as Zoonoses and Public Health, Applied and Environmental Microbiology, Frontiers in Veterinary Science, Preventive Veterinary Medicine and Veterinary 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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