Sarah J. Pethybridge

7.1k total citations · 1 hit paper
179 papers, 4.6k citations indexed

About

Sarah J. Pethybridge is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sarah J. Pethybridge has authored 179 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Plant Science, 89 papers in Cell Biology and 32 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sarah J. Pethybridge's work include Plant Pathogens and Fungal Diseases (89 papers), Plant Pathogens and Resistance (43 papers) and Plant pathogens and resistance mechanisms (33 papers). Sarah J. Pethybridge is often cited by papers focused on Plant Pathogens and Fungal Diseases (89 papers), Plant Pathogens and Resistance (43 papers) and Plant pathogens and resistance mechanisms (33 papers). Sarah J. Pethybridge collaborates with scholars based in United States, Australia and New Zealand. Sarah J. Pethybridge's co-authors include Paul D. Esker, N. McRoberts, Serge Savary, Laetitia Willocquet, Andy Nelson, Frank S. Hay, CR Wilson, Scot Nelson, Julie R. Kikkert and Niloofar Vaghefi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sarah J. Pethybridge

167 papers receiving 4.5k citations

Hit Papers

The global burden of pathogens and pests on major food crops 2019 2026 2021 2023 2019 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah J. Pethybridge United States 26 3.9k 1.4k 781 641 492 179 4.6k
Laetitia Willocquet France 32 4.0k 1.0× 870 0.6× 728 0.9× 530 0.8× 516 1.0× 70 4.8k
N. McRoberts United States 22 3.3k 0.8× 729 0.5× 718 0.9× 498 0.8× 575 1.2× 110 4.3k
Mogens Nicolaisen Denmark 34 3.0k 0.8× 867 0.6× 741 0.9× 354 0.6× 524 1.1× 111 3.8k
Paul D. Esker United States 29 3.9k 1.0× 1.0k 0.7× 792 1.0× 471 0.7× 538 1.1× 100 4.7k
Clive H. Bock United States 32 3.4k 0.9× 1.3k 0.9× 462 0.6× 504 0.8× 331 0.7× 174 3.9k
Ilaria Pertot Italy 45 4.8k 1.2× 2.2k 1.6× 948 1.2× 653 1.0× 759 1.5× 215 6.0k
Vittorio Rossi Italy 36 4.2k 1.1× 2.5k 1.8× 442 0.6× 919 1.4× 504 1.0× 295 4.9k
Gary P. Munkvold United States 38 5.0k 1.3× 2.8k 2.0× 1.1k 1.4× 424 0.7× 484 1.0× 134 5.5k
S. Chakraborty Australia 35 3.6k 0.9× 1.7k 1.2× 471 0.6× 695 1.1× 222 0.5× 97 4.6k
Fiona M. Doohan Ireland 39 4.3k 1.1× 2.2k 1.6× 852 1.1× 537 0.8× 322 0.7× 126 5.0k

Countries citing papers authored by Sarah J. Pethybridge

Since Specialization
Citations

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

Fields of papers citing papers by Sarah J. Pethybridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah J. Pethybridge

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah J. Pethybridge. A scholar is included among the top collaborators of Sarah J. Pethybridge 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 Sarah J. Pethybridge. Sarah J. Pethybridge 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.
Murphy, Sean, et al.. (2025). Role of Infested Seed as Primary Inoculum for Cercospora Leaf Spot in Table Beet. Plant Disease. 109(12). 2499–2513.
2.
Kikkert, Julie R., et al.. (2024). Evaluation of foliar fungicides for Cercospora leaf spot management in table beet in New York. Crop Protection. 188. 107028–107028.
3.
Pethybridge, Sarah J., et al.. (2024). Development of a sequential sampling plan for classifying Thrips tabaci (Thysanoptera: Thripidae) populations in onion fields. Journal of Economic Entomology. 117(5). 2151–2158.
4.
Murphy, Sean, et al.. (2024). Susceptibility of Table Beet Cultivars to Foliar Diseases in New York. Plant Health Progress. 25(4). 399–409. 1 indexed citations
5.
Pethybridge, Sarah J., et al.. (2023). Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery. Remote Sensing. 15(3). 794–794. 5 indexed citations
7.
Heck, Daniel W., Frank S. Hay, & Sarah J. Pethybridge. (2023). Enabling Population Biology Studies of Stemphylium vesicarium from Onion with Microsatellites. Plant Disease. 107(12). 3886–3895. 2 indexed citations
8.
Spanner, Rebecca, Jonathan K. Richards, Viviana Rivera-Varas, et al.. (2021). Genome-Wide Association and Selective Sweep Studies Reveal the Complex Genetic Architecture of DMI Fungicide Resistance in Cercospora beticola. Genome Biology and Evolution. 13(9). 21 indexed citations
9.
Bock, Clive H., Sarah J. Pethybridge, Jayme Garcia Arnal Barbedo, et al.. (2021). A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues. Tropical Plant Pathology. 47(1). 14–24. 42 indexed citations
10.
Kikkert, Julie R., et al.. (2021). Comparison of UAS-Based Structure-from-Motion and LiDAR for Structural Characterization of Short Broadacre Crops. Remote Sensing. 13(19). 3975–3975. 20 indexed citations
11.
Pethybridge, Sarah J., et al.. (2020). Growth Stage Classification and Harvest Scheduling of Snap Bean Using Hyperspectral Sensing: A Greenhouse Study. Remote Sensing. 12(22). 3809–3809. 18 indexed citations
12.
14.
Pethybridge, Sarah J., et al.. (2020). Optimizing Cercospora Leaf Spot Control in Table Beet Using Action Thresholds and Disease Forecasting. Plant Disease. 104(6). 1831–1840. 17 indexed citations
15.
Savary, Serge, Laetitia Willocquet, Sarah J. Pethybridge, et al.. (2019). The global burden of pathogens and pests on major food crops. Nature Ecology & Evolution. 3(3). 430–439. 2254 indexed citations breakdown →
16.
Vaghefi, Niloofar, et al.. (2018). Genetic Diversity and Differentiation in Phoma betae Populations on Table Beet in New York and Washington States. Plant Disease. 103(7). 1487–1497. 10 indexed citations
17.
Ponte, Emerson M. Del, Scot Nelson, & Sarah J. Pethybridge. (2018). Evaluation of App-Embedded Disease Scales for Aiding Visual Severity Estimation of Cercospora Leaf Spot of Table Beet. Plant Disease. 103(6). 1347–1356. 13 indexed citations
18.
Pethybridge, Sarah J., et al.. (2016). Meta‐analytic modelling of the incidence–yield and incidence–sclerotial production relationships in soybean white mould epidemics. Plant Pathology. 66(3). 460–468. 43 indexed citations
19.
Kikkert, Julie R., et al.. (2015). Tan spot of lima bean caused by Boeremia exigua var. exigua in New York State, USA. Canadian Journal of Plant Pathology. 37(4). 523–528. 8 indexed citations
20.
Pethybridge, Sarah J., J. D. Fletcher, Fiona R. Hay, & R.A. Beatson. (2009). Prevalence and incidence of viruses in New Zealand hop ( Humulus lupulus ) gardens. New Zealand Journal of Crop and Horticultural Science. 37(3). 235–241.

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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