Malcolm Whiteway

14.6k citations
197 papers · 11.9k · h-index 61

Impact in

Papers in

    • Fungal and yeast genetics research 108
    • Polyamine Metabolism and Applications 16
    • Plant Reproductive Biology 12
    • Antifungal resistance and susceptibility 99

Malcolm Whiteway

192 papers receiving 11.6k citations

Peers

Malcolm Whiteway
Comparison fields: 5 of 132
  • Infectious Diseases 5.0k
  • Molecular Biology 7.6k
  • Epidemiology 3.1k
  • Cell Biology 1.6k
  • Aging 133
Replace César Nombela with:
César Nombela Spain
Judith Berman United States
Aaron P. Mitchell United States
Frans M. Klis Netherlands
Leah E. Cowen Canada
Karl Kuchler Austria
Phillips W. Robbins United States
Jeffery S. Cox United States
Kay‐Hooi Khoo Taiwan
Markus Aebi Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm Whiteway

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Whiteway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989459
2 1992388
3 2007343
4 2002330
5 2001313
6 1998295
7 2002290
8 2003241
9 2003241
10 2009213
11 2000210
12 1992203
13 1997202
14 1998197
15 1995187
16 2004164
17 1995163
18 1995157
19 2004156
20 2000155

About Malcolm Whiteway

Malcolm Whiteway is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Pharmacology and Cell Biology, having authored 197 papers that have together received 11.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (108 papers), Antifungal resistance and susceptibility (99 papers), Fungal Infections and Studies (49 papers), Fungal Biology and Applications (16 papers), Polyamine Metabolism and Applications (16 papers), Peptidase Inhibition and Analysis (15 papers), Plant Reproductive Biology (12 papers) and Probiotics and Fermented Foods (12 papers). The work is most often cited by research in Infectious Diseases (5.0k citations), Molecular Biology (7.6k citations), Epidemiology (3.1k citations), Cell Biology (1.6k citations) and Aging (133 citations). Malcolm Whiteway has collaborated with scholars based in Canada, United States and China. Frequent co-authors include David Y. Thomas, Daniel Dignard, André Nantel, Ekkehard Leberer, Doreen Harcus, Catherine Bachewich, Cunle Wu, Hervé Hogues, Anne Marcil and Brice Enjalbert. Their work appears in journals such as Eukaryotic Cell, Molecular Biology of the Cell, Molecular and Cellular Biology, Molecular Microbiology and Journal of Biological Chemistry.

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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