Scott A. Beatson

22.3k citations
156 papers · 13.8k indexed · 4 hit papers · h-index 48

Scott A. Beatson

152 papers receiving 13.6k citations

Hit Papers

Antimicrobial Resistance in ESKAP...1.4k201120262016202150010001.5k2.0k2.5k

Peers

Scott A. Beatson
Comparison fields: 5 of 158
  • Molecular Medicine 5.0k
  • Endocrinology 4.5k
  • Microbiology 1.2k
  • Applied Microbiology and Biotechnology 283
  • Ecology 3.3k
Replace Mark A. Schembri with:
Mark A. Schembri Australia
Nicholas R. Thomson United Kingdom
Ryan R. Wick Australia
Érick Denamur France
Sylvain Brisse France
Claire L. Gorrie Australia
Fernando de la Cruz Spain
Ruth M. Hall Australia
Roger Stephan Switzerland
Lenie Dijkshoorn Netherlands
Scott A. Beatson relative to Mark A. Schembri Australia Mark A. Schembri's profile →
Citations per field
00.5×1.5×
Mark A. Schembri · 1×
Citations per year

Countries citing papers authored by Scott A. Beatson

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Beatson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Beatson. 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 Scott A. Beatson. The network helps show where Scott A. Beatson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20240
4 20248
5 20248
6 20244
7 202311
8 20225
9 202247
10 20227
11 202212
12 202131
13 202126
14 202040
15 201827
16 2016166
17 201524
18 2006362
19 2003117
20 2002112

About Scott A. Beatson

Scott A. Beatson is a scholar working on Endocrinology, Molecular Medicine, Clinical Biochemistry, Microbiology and Infectious Diseases, having authored 156 papers that have together received 13.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (58 papers), Escherichia coli research studies (55 papers), Bacterial Genetics and Biotechnology (35 papers), Bacteriophages and microbial interactions (21 papers), Bacterial biofilms and quorum sensing (19 papers), Genomics and Phylogenetic Studies (17 papers), Vibrio bacteria research studies (16 papers) and Streptococcal Infections and Treatments (16 papers). The work is most often cited by research in Molecular Medicine (5.0k citations), Endocrinology (4.5k citations), Microbiology (1.2k citations), Applied Microbiology and Biotechnology (283 citations) and Ecology (3.3k citations). Scott A. Beatson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nicola K. Petty, Mitchell J. Sullivan, Nouri L. Ben Zakour, Nabil-Fareed Alikhan, Mark A. Schembri, Brian M. Forde, David L. Paterson, Mark J. Walker, Patrick N. A. Harris and Mark J. Pallen. Their work appears in journals such as PLoS ONE, Journal of Bacteriology, Molecular Microbiology, mBio and Microbial Genomics.

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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