Guy Baily

811 citations
24 papers · 495 · h-index 13

Impact in

    • Antifungal resistance and susceptibility
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • Fungal Infections and Studies 5
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Antifungal resistance and susceptibility 7
    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 3

Guy Baily

24 papers receiving 467 citations

Peers

Guy Baily
Comparison fields: 5 of 73
  • Microbiology 17
  • Infectious Diseases 305
  • Virology 39
  • Parasitology 51
  • Epidemiology 264
Replace M. Vergnaud with:
M. Vergnaud France
Roberta Maria Antonello Italy
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Ulf Bronner Sweden
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L L Van Etta United States
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H.‐J. Linde Germany
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Citations per field
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M. Vergnaud · 1×
Citations per year

Countries citing papers authored by Guy Baily

Since Specialization
Citations

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

Fields of papers citing papers by Guy Baily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guy Baily, 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 Guy Baily Line = papers co-authored together Guy Baily 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 1994113
2 199763
3 198835
4 199132
5 201130
6 199430
7 199727
8 198521
9 199621
10 201218
11 198817
12 199512
13 201112
14 199811
15 199411
16 201111
17 19898
18 19976
19 19956
20 19895

About Guy Baily

Guy Baily is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Virology and Surgery, having authored 24 papers that have together received 495 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (7 papers), Fungal Infections and Studies (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and Parasitic infections in humans and animals (2 papers). The work is most often cited by research in Microbiology (17 citations), Infectious Diseases (305 citations), Virology (39 citations), Parasitology (51 citations) and Epidemiology (264 citations). Guy Baily has collaborated with scholars based in United Kingdom, Zimbabwe and United States. Frequent co-authors include David W. Denning, B K Mandal, Stephen Hood, Arpita Nandy, Valerie J. Robertson, P. Neill, A H Moody, J. Burnie, P. R. Mason and Stéphane De Wit. Their work appears in journals such as Journal of Infection, Clinical Infectious Diseases, Transactions of the Royal Society of Tropical Medicine and Hygiene, AIDS and PLoS ONE.

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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