Ronald A. Skurray

13.4k citations
134 papers · 10.6k indexed · 2 hit papers · h-index 53
Topics
Antimicrobial Resistance in Staphylococcus (83 papers)Bacterial Genetics and Biotechnology (76 papers)RNA and protein synthesis mechanisms (37 papers)

In The Last Decade

Ronald A. Skurray

134 papers receiving 10.0k citations

Hit Papers

Proton-dependent multidrug efflux systems198720262000201319961987250500750

Peers

Ronald A. Skurray
Comparison fields: 5 of 135
  • Molecular Biology 5.5k
  • Molecular Medicine 3.7k
  • Infectious Diseases 3.6k
  • Genetics 3.3k
  • Ecology 1.6k
Replace Steven J. Projan with:
Steven J. Projan United States
Michel Arthur France
Karl Drlica United States
Don B. Clewell United States
Hanne Ingmer Denmark
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Paul M. Dunman United States
Diane E. Taylor Canada
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Ronald A. Skurray relative to Steven J. Projan United States Steven J. Projan's profile →
Citations per field
00.5×1.7×
Steven J. Projan · 1×
Citations per year

Countries citing papers authored by Ronald A. Skurray

Since Specialization
Citations

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

Fields of papers citing papers by Ronald A. Skurray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald A. Skurray

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald A. Skurray. A scholar is included among the top collaborators of Ronald A. Skurray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronald A. Skurray. Ronald A. Skurray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 33
3 39
4 13
5 14
6 8
7 80
8 34
9 1
10 36
11 329
12 7
13 34
14 41
15 4
16 56
17 53
18 51
19 6
20 22

About Ronald A. Skurray

Ronald A. Skurray is a scholar working on Molecular Medicine, Infectious Diseases and Genetics, having authored 134 papers that have together received 10.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (83 papers), Bacterial Genetics and Biotechnology (76 papers) and RNA and protein synthesis mechanisms (37 papers). The work is most often cited by research in Molecular Medicine (3.7k citations), Infectious Diseases (3.6k citations) and Endocrinology (845 citations). Ronald A. Skurray has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Melissa H. Brown, Ian T. Paulsen, B. R. Lyon, Steve Grkovic, Neville Firth, Duncan A. Rouch, Tim Littlejohn, Matthew T. Gillespie, John W. May and Laura S. Frost. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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