Heather M. Way

803 total citations
13 papers, 587 citations indexed

About

Heather M. Way is a scholar working on Plant Science, Molecular Biology and Communication. According to data from OpenAlex, Heather M. Way has authored 13 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Molecular Biology and 1 paper in Communication. Recurrent topics in Heather M. Way's work include Plant tissue culture and regeneration (8 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant Virus Research Studies (3 papers). Heather M. Way is often cited by papers focused on Plant tissue culture and regeneration (8 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant Virus Research Studies (3 papers). Heather M. Way collaborates with scholars based in Australia, United States and Belgium. Heather M. Way's co-authors include John M. Manners, C. Lynne McIntyre, Gang‐Ping Xue, Janneke Drenth, Priya Joyce, Terese Richardson, Kemal Kazan, Robert G. Birch, Neena Mitter and Adrienne R. Hardham and has published in prestigious journals such as Plant Molecular Biology, Plant Science and Molecular Plant-Microbe Interactions.

In The Last Decade

Heather M. Way

13 papers receiving 546 citations

Peers

Heather M. Way
Christian Lehmann Germany
Shobhana Lakshmi Chelliah United States
Alice Wright United States
Terry Anderson Canada
Dan O’Sullivan Ireland
María del Mar Román García Spain
Kenneth E. Rowe United States
Alessandro Nicolia Italy
Huey‐Ling Lin Taiwan
Ann Taylor United States
Christian Lehmann Germany
Heather M. Way
Citations per year, relative to Heather M. Way Heather M. Way (= 1×) peers Christian Lehmann

Countries citing papers authored by Heather M. Way

Since Specialization
Citations

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

Fields of papers citing papers by Heather M. Way

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather M. Way. 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 Heather M. Way. The network helps show where Heather M. Way may publish in the future.

Co-authorship network of co-authors of Heather M. Way

This figure shows the co-authorship network connecting the top 25 collaborators of Heather M. Way. A scholar is included among the top collaborators of Heather M. Way 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 Heather M. Way. Heather M. Way is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Xue, Gang‐Ping, Heather M. Way, Terese Richardson, et al.. (2011). Overexpression of TaNAC69 Leads to Enhanced Transcript Levels of Stress Up-Regulated Genes and Dehydration Tolerance in Bread Wheat. Molecular Plant. 4(4). 697–712. 204 indexed citations
2.
Way, Heather M., Robert G. Birch, & John M. Manners. (2011). A comparison of individual and combined l-phenylalanine ammonia lyase and cationic peroxidase transgenes for engineering resistance in tobacco to necrotrophic pathogens. Plant Biotechnology Reports. 5(4). 301–308. 9 indexed citations
3.
Albarran, Alan B., et al.. (2007). “What Happened to our Audience?” Radio and New Technology Uses and Gratifications Among Young Adult Users. Journal of Radio Studies. 14(2). 92–101. 76 indexed citations
4.
Xue, Gang‐Ping, C. Lynne McIntyre, Scott Chapman, et al.. (2006). Differential gene expression of wheat progeny with contrasting levels of transpiration efficiency. Plant Molecular Biology. 61(6). 863–881. 35 indexed citations
5.
Kemmerer, David, et al.. (2006). Big brown dog or brown big dog? An electrophysiological study of semantic constraints on prenominal adjective order. Brain and Language. 100(3). 238–256. 34 indexed citations
6.
Way, Heather M., Paul A. Howles, Jo Luck, et al.. (2004). Tobacco Transgenic for the Flax Rust Resistance Gene L Expresses Allele-Specific Activation of Defense Responses. Molecular Plant-Microbe Interactions. 17(2). 224–232. 70 indexed citations
7.
Way, Heather M., Scott Chapman, C. Lynne McIntyre, et al.. (2004). Identification of differentially expressed genes in wheat undergoing gradual water deficit stress using a subtractive hybridisation approach. Plant Science. 168(3). 661–670. 14 indexed citations
8.
Way, Heather M., et al.. (2002). Constitutive expression of a phenylalanine ammonia-lyase gene from Stylosanthes humilis in transgenic tobacco leads to enhanced disease resistance but impaired plant growth. Physiological and Molecular Plant Pathology. 60(6). 275–282. 37 indexed citations
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Mitter, Neena, Kemal Kazan, Heather M. Way, Willem F. Broekaert, & John M. Manners. (1998). Systemic induction of an Arabidopsis plant defensin gene promoter by tobacco mosaic virus and jasmonic acid in transgenic tobacco. Plant Science. 136(2). 169–180. 23 indexed citations
12.
Kazan, Kemal, Ken C. Goulter, Heather M. Way, & John M. Manners. (1998). Expression of a pathogenesis-related peroxidase of Stylosanthes humilis in transgenic tobacco and canola and its effect on disease development. Plant Science. 136(2). 207–217. 22 indexed citations
13.

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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