P. T. Magee

88 papers receiving 5.2k citations

P. T. Magee's Hit Papers

The diploid genome sequence of Candida albicans 2004 · 617 citations
6170+7+14Years since publication200400600

Peers

P. T. Magee
Comparison fields: 5 of 129
  • Infectious Diseases 3.0k
  • Epidemiology 2.2k
  • Food Science 875
  • Molecular Biology 3.0k
  • Cell Biology 621
Replace Peter E. Sudbery with:
Peter E. Sudbery United Kingdom
Joachim F. Ernst Germany
Janet Quinn United Kingdom
Ken Haynes United Kingdom
Rafael Sentandreu Spain
William A. Fonzi United States
Geraldine Butler Ireland
Guilhem Janbon France
Concha Gil Spain
Stewart Scherer United States
P. T. Magee relative to Peter E. Sudbery United Kingdom Peter E. Sudbery's profile →
Citations per field
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Peter E. Sudbery · 1×
Citations per year

Countries citing papers authored by P. T. Magee

Since Specialization
Citations

This map shows the geographic impact of P. T. Magee'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 P. T. Magee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. T. Magee more than expected).

Fields of papers citing papers by P. T. Magee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. T. Magee. 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 P. T. Magee. The network helps show where P. T. Magee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The diploid genome sequence of Candida albicans
Hit paper breakdown →
2004617
2 2000392
3 1985237
4 1990197
5 1987196
6 1988166
7 1987154
8 1974144
9 1980142
10 2007137
11 1988129
12 1993123
13 2009122
14 1981121
15 1979112
16 1989108
17 2002104
18 200493
19 199288
20 199085

About P. T. Magee

P. T. Magee is a scholar working on Infectious Diseases, Epidemiology, Food Science, Molecular Biology and Cell Biology, having authored 90 papers that have together received 5.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (46 papers), Fungal and yeast genetics research (34 papers), Fungal Infections and Studies (29 papers), Probiotics and Fermented Foods (16 papers), Biofuel production and bioconversion (9 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Plant Pathogens and Fungal Diseases (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Epidemiology (2.2k citations), Food Science (875 citations), Molecular Biology (3.0k citations) and Cell Biology (621 citations). P. T. Magee has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include B B Magee, Stephen W. Scherer, William L. Whelan, Huguette de Robichon-Szulmajster, Hiroji Chibana, Anja Forche, Erik H. A. Rikkerink, Stewart Scherer, Georgiana May and Trevor M. D’Souza. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Genetics, Proceedings of the National Academy of Sciences and Anaesthesia.

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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