Stephen Guy

1.2k citations
35 papers · 914 · h-index 13

Impact in

Papers in

Stephen Guy

33 papers receiving 884 citations

Peers

Stephen Guy
Comparison fields: 5 of 65
  • Infectious Diseases 526
  • Applied Microbiology and Biotechnology 40
  • Molecular Medicine 49
  • Endocrinology 18
  • Microbiology 3
Replace Eva María León Jiménez with:
Eva María León Jiménez Spain
Sami KINIKLI Türkiye
Timothy James Gray Australia
Federica Calò Italy
Lloyd G. Clarke United States
Kerry O. Cleveland United States
Vincenzo Spagnuolo Italy
Enrique Nuño Spain
Jonathan E. Folb United Kingdom
Analía Mykietiuk Argentina
Stephen Guy relative to Eva María León Jiménez Spain Eva María León Jiménez's profile →
Citations per field
00.5×5×10×12.6×
Eva María León Jiménez · 1×
Citations per year

Countries citing papers authored by Stephen Guy

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020216
2 2013190
3 202281
4 201475
5 200852
6 201449
7 201230
8 201830
9 202029
10 201626
11 201123
12 202318
13 201717
14 202112
15 20138
16 20226
17 20226
18 20246
19 20155
20 20215

About Stephen Guy

Stephen Guy is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Pharmacology, Nephrology and Surgery, having authored 35 papers that have together received 914 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Surgical site infection prevention (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Antifungal resistance and susceptibility (3 papers), COVID-19 Clinical Research Studies (3 papers), Acute Kidney Injury Research (2 papers), Antibiotic Use and Resistance (2 papers) and Drug-Induced Adverse Reactions (2 papers). The work is most often cited by research in Infectious Diseases (526 citations), Applied Microbiology and Biotechnology (40 citations), Molecular Medicine (49 citations), Endocrinology (18 citations) and Microbiology (3 citations). Stephen Guy has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Nicole M. Gilroy, Karin Thursky, Monica A. Slavin, Tania Christine Sorrell, Adrian R Tramontana, Catherine Orla Morrissey, Ashish R. Bajel, Peter Bardy, Catriona L Halliday and Jeff Szer. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, The Medical Journal of Australia, Journal of Foot and Ankle Research and The Lancet Regional Health - Western Pacific.

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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