Stephen Guy

1.2k citations
25 papers · 554 · h-index 10

Impact in

Papers in

    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 4
    • Antifungal resistance and susceptibility 4
    • Tuberculosis Research and Epidemiology 3
    • Fungal Infections and Studies 4
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Stephen Guy

23 papers receiving 540 citations

Peers

Stephen Guy
Comparison fields: 5 of 81
  • Infectious Diseases 312
  • Molecular Medicine 43
  • Epidemiology 284
  • Small Animals 57
  • Clinical Biochemistry 38
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J Ryan Bariola United States
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Nitin Bhanot United States
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Citations per field
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013170
2 200267
3 201462
4 201446
5 200845
6 201230
7 201827
8 201623
9 201117
10 201716
11 20219
12 20137
13 20155
14 20215
15 20234
16 20164
17 20224
18 20034
19 20243
20 20182

About Stephen Guy

Stephen Guy is a scholar working on Infectious Diseases, Epidemiology, Surgery, Neurology and Oncology, having authored 25 papers that have together received 554 indexed citations. Recurring topics across this work include Fungal Infections and Studies (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Antifungal resistance and susceptibility (4 papers), Tuberculosis Research and Epidemiology (3 papers), Neutropenia and Cancer Infections (3 papers), Long-Term Effects of COVID-19 (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (312 citations), Molecular Medicine (43 citations), Epidemiology (284 citations), Small Animals (57 citations) and Clinical Biochemistry (38 citations). Stephen Guy has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicole Gilroy, Karin Thursky, Monica A. Slavin, Tania C. Sorrell, Adrian R Tramontana, C. Orla Morrissey, Timothy Spelman, Kenneth F. Bradstock, Anthony P. Schwarer and Ashish Bajel. Their work appears in journals such as The Medical Journal of Australia, BMJ Open, Journal of Foot and Ankle Research, The Lancet Infectious Diseases and International Journal of Antimicrobial Agents.

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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