Stephen Guy

1.3k citations
24 papers · 589 · h-index 11

Impact in

Papers in

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

Stephen Guy

23 papers receiving 569 citations

Peers

Stephen Guy
Comparison fields: 5 of 72
  • Infectious Diseases 294
  • Molecular Medicine 44
  • Small Animals 53
  • Epidemiology 223
  • Endocrinology 27
Replace Pei Yee Tiew with:
Pei Yee Tiew Singapore
Vijaya Lakshmi Nag India
Nitin Bhanot United States
J Ryan Bariola United States
Aynur Gülcan Türkiye
Joseph A. McBride United States
Nazish Fatima India
Sigifredo Ospina Colombia
Azar Hadadi Iran
Philippe El‐Helou Canada
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Citations per field
00.5×11.8×
Pei Yee Tiew · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013179
2 200269
3 201466
4 200850
5 201448
6 201230
7 201829
8 201624
9 201120
10 201716
11 202111
12 20138
13 20225
14 20155
15 20035
16 20215
17 20164
18 20234
19 20243
20 20053

About Stephen Guy

Stephen Guy is a scholar working on Infectious Diseases, Epidemiology, Surgery, Oncology and Neurology, having authored 24 papers that have together received 589 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (3 papers), Neutropenia and Cancer Infections (3 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Infectious Diseases (294 citations), Molecular Medicine (44 citations), Small Animals (53 citations), Epidemiology (223 citations) and Endocrinology (27 citations). Stephen Guy has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Nicole Gilroy, Monica A. Slavin, Karin Thursky, Tania C. Sorrell, Adrian R Tramontana, C. Orla Morrissey, Anthony P. Schwarer, John J. Moore, Catriona Halliday and Kenneth F. Bradstock. Their work appears in journals such as The Medical Journal of Australia, The Lancet Infectious Diseases, Infection, American Journal of Ophthalmology 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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