Peter Warn

8.1k total citations · 2 hit papers
74 papers, 5.3k citations indexed

About

Peter Warn is a scholar working on Infectious Diseases, Epidemiology and Pharmacology. According to data from OpenAlex, Peter Warn has authored 74 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Infectious Diseases, 38 papers in Epidemiology and 18 papers in Pharmacology. Recurrent topics in Peter Warn's work include Antifungal resistance and susceptibility (44 papers), Fungal Infections and Studies (31 papers) and Antibiotics Pharmacokinetics and Efficacy (12 papers). Peter Warn is often cited by papers focused on Antifungal resistance and susceptibility (44 papers), Fungal Infections and Studies (31 papers) and Antibiotics Pharmacokinetics and Efficacy (12 papers). Peter Warn collaborates with scholars based in United Kingdom, United States and Kenya. Peter Warn's co-authors include David W. Denning, Robert W. Snow, Paul Bowyer, Norbert Peshu, Alessandro C. Pasqualotto, Mohammad Taghi Hedayati, Kevin Marsh, Joanne Sharp, Charles R. Newton and Geoffrey Pasvol and has published in prestigious journals such as Nature, New England Journal of Medicine and PLoS ONE.

In The Last Decade

Peter Warn

74 papers receiving 5.1k citations

Hit Papers

Indicators of Life-Threatening Malaria in African Children 1995 2026 2005 2015 1995 2007 250 500 750

Peers

Peter Warn
Comparison fields: 5 of 150
  • Infectious Diseases 2.0k
  • Epidemiology 1.5k
  • Public Health, Environmental and Occupational Health 1.5k
  • Molecular Biology 745
  • Plant Science 596
Replace Caroline Charlier with:
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Ulrich Bienzle Germany
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Costi D. Sifri United States
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Caroline Charlier France View profile →
Citations per field, relative to Peter Warn
Peter Warn · 1×
Citations per year, relative to Peter Warn
Peter Warn · 1×

Countries citing papers authored by Peter Warn

Since Specialization
Citations

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

Fields of papers citing papers by Peter Warn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Warn

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Warn. A scholar is included among the top collaborators of Peter Warn 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 Peter Warn. Peter Warn 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
# Work Indexed citations
1 15
2 69
3 113
4 45
5 81
6 103
7 115
8 54
9 31
10 27
11
In Vivo Efficacy of a New Antifungal Agent, FG3409 in a Murine Model of Disseminated Aspergillosis
1
12
Efficacy of FG3409 a New Antifungal Agent, in Reducing Tissue Burden in Murine Models of Disseminated Aspergillosis
2
13
Aspergillus flavus: human pathogen, allergen and mycotoxin producer breakdown →
703
14 71
15 16
16 76
17 133
18 283
19 12
20 12

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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