Malcolm Whiteway

14.6k citations
193 papers · 11.3k · h-index 59

Impact in

Papers in

    • Fungal and yeast genetics research 106
    • Polyamine Metabolism and Applications 15
    • Plant Reproductive Biology 12
    • Antifungal resistance and susceptibility 97

Malcolm Whiteway

189 papers receiving 11.1k citations

Peers

Malcolm Whiteway
Comparison fields: 5 of 130
  • Infectious Diseases 4.7k
  • Molecular Biology 7.3k
  • Epidemiology 2.9k
  • Cell Biology 1.5k
  • Aging 130
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
Jeffery S. Cox United States
Phillips W. Robbins United States
Markus Aebi Switzerland
Kay‐Hooi Khoo Taiwan
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Citations per field
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César Nombela · 1×
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 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989427
2 1992369
3 2007339
4 2002309
5 2001299
6 1998286
7 2002285
8 2003226
9 2003226
10 2000205
11 2009202
12 1997193
13 1992186
14 1998185
15 1995179
16 1995159
17 2004155
18 2000152
19 2004151
20 1995149

About Malcolm Whiteway

Malcolm Whiteway is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Pharmacology and Cell Biology, having authored 193 papers that have together received 11.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (106 papers), Antifungal resistance and susceptibility (97 papers), Fungal Infections and Studies (47 papers), Fungal Biology and Applications (16 papers), Peptidase Inhibition and Analysis (15 papers), Polyamine Metabolism and Applications (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 (4.7k citations), Molecular Biology (7.3k citations), Epidemiology (2.9k citations), Cell Biology (1.5k citations) and Aging (130 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 Adnane Sellam. Their work appears in journals such as Eukaryotic Cell, Molecular Biology of the Cell, Molecular and Cellular Biology, Molecular Microbiology and Genetics.

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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