I.J. Horner

479 total citations
25 papers, 338 citations indexed

About

I.J. Horner is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, I.J. Horner has authored 25 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 18 papers in Cell Biology and 8 papers in Molecular Biology. Recurrent topics in I.J. Horner's work include Plant Pathogens and Fungal Diseases (18 papers), Plant Pathogens and Resistance (17 papers) and Yeasts and Rust Fungi Studies (8 papers). I.J. Horner is often cited by papers focused on Plant Pathogens and Fungal Diseases (18 papers), Plant Pathogens and Resistance (17 papers) and Yeasts and Rust Fungi Studies (8 papers). I.J. Horner collaborates with scholars based in New Zealand, Australia and Portugal. I.J. Horner's co-authors include Nick Waipara, Samantha L. L. Hill, R.M. Beresford, Tod D. Ramsfield, Ellen Michaels Goheen, Susan J. Frankel, J.T.S. Walker, Ross E. Beever, Andy Hodson and M. Horner and has published in prestigious journals such as Phytopathology, Plant Pathology and Forests.

In The Last Decade

I.J. Horner

24 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I.J. Horner New Zealand 10 250 155 122 63 44 25 338
Nenad Keča Serbia 12 277 1.1× 192 1.2× 75 0.6× 82 1.3× 43 1.0× 40 377
T. L. Cech Austria 10 223 0.9× 204 1.3× 118 1.0× 62 1.0× 27 0.6× 29 306
Margarita Elvira‐Recuenco Spain 13 276 1.1× 193 1.2× 80 0.7× 106 1.7× 16 0.4× 18 384
Brenda E. Callan Canada 12 288 1.2× 233 1.5× 106 0.9× 44 0.7× 26 0.6× 25 389
Maneesh S. Bhandari India 11 202 0.8× 119 0.8× 120 1.0× 42 0.7× 12 0.3× 60 315
John A. Roncoroni United States 6 262 1.0× 112 0.7× 47 0.4× 90 1.4× 43 1.0× 10 337
Karel Černý Czechia 11 217 0.9× 192 1.2× 120 1.0× 127 2.0× 51 1.2× 32 348
Marı́a Havrylenko Argentina 11 460 1.8× 315 2.0× 238 2.0× 33 0.5× 49 1.1× 28 524
Wojciech Kraj Poland 10 198 0.8× 138 0.9× 85 0.7× 136 2.2× 42 1.0× 35 307

Countries citing papers authored by I.J. Horner

Since Specialization
Citations

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

Fields of papers citing papers by I.J. Horner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.J. Horner. 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 I.J. Horner. The network helps show where I.J. Horner may publish in the future.

Co-authorship network of co-authors of I.J. Horner

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

All Works

20 of 20 papers shown
1.
Horner, I.J., J. R. Hosking, Nick Waipara, et al.. (2024). Phytophthora Communities Associated with Agathis australis (kauri) in Te Wao Nui o Tiriwa/Waitākere Ranges, New Zealand. Forests. 15(5). 735–735. 2 indexed citations
2.
Horner, I.J., et al.. (2023). Evaluating scent detection dogs as a tool to detect pathogenic Phytophthora species. Conservation Science and Practice. 5(9). 2 indexed citations
3.
Scott, Peter, J. F. Gardner, I. A. Hood, et al.. (2019). Phytophthora aleatoria sp. nov., associated with root and collar damage on Pinus radiata from nurseries and plantations. Australasian Plant Pathology. 48(4). 313–321. 12 indexed citations
4.
Horner, M., et al.. (2017). Molecular detection of <i>Helicobasidium purpureum</i> on carrots. Proceedings of the New Zealand Weed Control Conference. 70. 325–325.
5.
Horner, I.J., et al.. (2017). Ingestion of infected roots by feral pigs provides a minor vector pathway for kauri dieback disease Phytophthora agathidicida. Forestry An International Journal of Forest Research. 90(5). 640–648. 12 indexed citations
6.
Horner, I.J., et al.. (2015). Forest efficacy trials on phosphite for control of kauri dieback. Proceedings of the New Zealand Weed Control Conference. 68. 7–12. 15 indexed citations
7.
Horner, I.J., et al.. (2015). CAUTERISING OR PRUNING TO MINIMISE SPREAD OF CANKERS CAUSED BY PSEUDOMONAS SYRINGAE PV. ACTINIDIAE IN KIWIFRUIT. Acta Horticulturae. 145–152. 1 indexed citations
8.
Horner, I.J., et al.. (2014). Pathogenicity of four <i>Phytophthora</i> species on kauri in vitro and glasshouse trials. Proceedings of the New Zealand Weed Control Conference. 67. 54–59. 15 indexed citations
9.
Jamieson, Alan J., et al.. (2014). Aerial surveillance to detect kauri dieback in New Zealand. Proceedings of the New Zealand Weed Control Conference. 67. 60–65. 4 indexed citations
10.
Horner, I.J., et al.. (2013). Phosphorous acid for controlling <i>Phytophthora</i> taxon Agathis in kauri glasshouse trials. Proceedings of the New Zealand Weed Control Conference. 66. 242–248. 20 indexed citations
11.
Waipara, Nick, et al.. (2013). Surveillance methods to determine tree health distribution of kauri dieback disease and associated pathogens. Proceedings of the New Zealand Weed Control Conference. 66. 235–241. 51 indexed citations
12.
Horner, I.J., et al.. (2010). Preplant soil fumigation for control of violet root rot of carrots. Proceedings of the New Zealand Weed Control Conference. 63. 123–132. 1 indexed citations
13.
Jones, E. Eirian, et al.. (2010). The effect ofTrichodermabio-inoculants on specific apple replant disease (SARD) symptoms in apple rootstocks in New Zealand. Australasian Plant Pathology. 39(4). 312–312. 7 indexed citations
14.
Tustin, D.S., et al.. (2008). GROWTH RESPONSES OF YOUNG APPLE PLANTS INDUCED BY SOIL REMEDIATION TREATMENTS FOR SPECIFIC APPLE REPLANT DISEASE. Acta Horticulturae. 407–411. 4 indexed citations
15.
Jones, E. Eirian, et al.. (2006). Colonisation of apple roots by arbuscular mycorrhiza in specific apple replant disease affected soil. Proceedings of the New Zealand Weed Control Conference. 59. 92–96. 4 indexed citations
16.
Horner, I.J. & M. Horner. (2002). Relationships between autumn black spot leaf litter and <i>Venturia inaequalis</i> ascospore production in apple orchards. Proceedings of the New Zealand Weed Control Conference. 55. 121–124. 2 indexed citations
17.
Beresford, R.M., et al.. (1997). Integrated fruit production (IFP) for New Zealand pipfruit: evaluation of disease management in a pilot programme. Proceedings of the New Zealand Weed Control Conference. 50. 252–257. 39 indexed citations
18.
Horner, I.J.. (1996). Temporal Changes in Activity and Dormant Spore Populations ofPhytophthora cactorumin New York Apple Orchard Soils. Phytopathology. 86(10). 1133–1133. 9 indexed citations
19.
Horner, I.J.. (1996). Spatial Distribution ofPhytophthora cactorumin New York Apple Orchard Soils. Phytopathology. 86(10). 1122–1122. 11 indexed citations
20.
Horner, I.J.. (1995). SADAMCAP, a Technique for Quantifying Populations ofPhytophthora cactorumin Apple Orchard Soils. Phytopathology. 85(11). 1400–1400. 4 indexed citations

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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