Kay Howard

33 papers receiving 514 citations

Peers

Kay Howard
Comparison fields: 5 of 68
  • Cell Biology 147
  • Endocrinology 42
  • Plant Science 275
  • Epidemiology 161
  • Small Animals 16
Replace Anne van Diepeningen with:
Anne van Diepeningen Netherlands
Frédéric G. Masclaux Switzerland
S A Harding United States
Elke Göttlich Netherlands
Ann Kristin Knutsen Norway
Dante L. Adorada Australia
Marike Palmer South Africa
Adelheid Schwartz Germany
María Clara Portugal
Sandra Buczolits Austria
Kay Howard relative to Anne van Diepeningen Netherlands Anne van Diepeningen's profile →
Citations per field
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Anne van Diepeningen · 1×
Citations per year

Countries citing papers authored by Kay Howard

Since Specialization
Citations

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

Fields of papers citing papers by Kay Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 200348
3 201743
4 200541
5 200335
6 201432
7 200027
8 202026
9 201125
10 201625
11 201619
12 201516
13 199116
14 201812
15 201112
16 201811
17
Management of Phytophthora cinnamomi for biodiversity conservation in Australia: Part 2. National best practiceguidelines
200510
18 20119
19 20149
20 20098

About Kay Howard

Kay Howard is a scholar working on Plant Science, Cell Biology, Ecology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 547 indexed citations. Recurring topics across this work include Plant Pathogens and Resistance (19 papers), Plant Pathogens and Fungal Diseases (15 papers), Burkholderia infections and melioidosis (5 papers), Yeasts and Rust Fungi Studies (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Forest Insect Ecology and Management (3 papers), Mollusks and Parasites Studies (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Cell Biology (147 citations), Endocrinology (42 citations), Plant Science (275 citations), Epidemiology (161 citations) and Small Animals (16 citations). Kay Howard has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Timothy J. J. Inglis, G.E.St.J. Hardy, Treena I. Burgess, W. Dunstan, B. L. Shearer, Trudy Paap, Anastácio Q. Sousa, Gerry Harnett, Dionne Bezerra Rolim and Lyn C. O'Reilly. Their work appears in journals such as Australian Journal of Botany, European Journal of Plant Pathology, Emerging infectious diseases, Forest Ecology and Management and Plant Pathology.

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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