Lance Cadle‐Davidson

4.0k total citations
88 papers, 2.1k citations indexed

About

Lance Cadle‐Davidson is a scholar working on Plant Science, Cell Biology and Food Science. According to data from OpenAlex, Lance Cadle‐Davidson has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Plant Science, 51 papers in Cell Biology and 24 papers in Food Science. Recurrent topics in Lance Cadle‐Davidson's work include Horticultural and Viticultural Research (53 papers), Plant Pathogens and Fungal Diseases (51 papers) and Powdery Mildew Fungal Diseases (40 papers). Lance Cadle‐Davidson is often cited by papers focused on Horticultural and Viticultural Research (53 papers), Plant Pathogens and Fungal Diseases (51 papers) and Powdery Mildew Fungal Diseases (40 papers). Lance Cadle‐Davidson collaborates with scholars based in United States, Australia and Chile. Lance Cadle‐Davidson's co-authors include David M. Gadoury, Bruce I. Reisch, Wayne F. Wilcox, Michael G. Milgroom, Ian B. Dry, Paola Barba, Robert C. Seem, Qi Sun, Katie E. Hyma and Jason P. Londo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lance Cadle‐Davidson

87 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lance Cadle‐Davidson United States 27 1.9k 958 541 434 219 88 2.1k
Eva Zyprian Germany 28 2.1k 1.1× 772 0.8× 1.1k 2.0× 713 1.6× 99 0.5× 72 2.4k
Summaira Riaz United States 25 2.1k 1.1× 537 0.6× 1.1k 1.9× 516 1.2× 145 0.7× 72 2.2k
Sabine Wiedemann‐Merdinoglu France 15 1.5k 0.8× 601 0.6× 477 0.9× 548 1.3× 62 0.3× 27 1.8k
Pere Mestre France 29 2.2k 1.2× 742 0.8× 312 0.6× 631 1.5× 69 0.3× 44 2.5k
Michela Troggio Italy 22 1.4k 0.7× 281 0.3× 391 0.7× 553 1.3× 134 0.6× 54 1.7k
Andrea Minio United States 22 1.2k 0.6× 255 0.3× 420 0.8× 662 1.5× 61 0.3× 43 1.4k
Silvia Vezzulli Italy 20 990 0.5× 230 0.2× 422 0.8× 368 0.8× 52 0.2× 49 1.2k
Mélanie Massonnet United States 17 1.1k 0.6× 210 0.2× 462 0.9× 655 1.5× 56 0.3× 29 1.3k
G. Cipriani Italy 29 3.1k 1.6× 788 0.8× 861 1.6× 1.2k 2.9× 428 2.0× 95 3.7k
Patrice This France 21 2.2k 1.1× 219 0.2× 1.4k 2.6× 733 1.7× 162 0.7× 36 2.5k

Countries citing papers authored by Lance Cadle‐Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Lance Cadle‐Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lance Cadle‐Davidson. 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 Lance Cadle‐Davidson. The network helps show where Lance Cadle‐Davidson may publish in the future.

Co-authorship network of co-authors of Lance Cadle‐Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of Lance Cadle‐Davidson. A scholar is included among the top collaborators of Lance Cadle‐Davidson 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 Lance Cadle‐Davidson. Lance Cadle‐Davidson 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
2.
Jiang, Yu, et al.. (2023). Non-Destructive Monitoring of Foliar Fungicide Efficacy with Hyperspectral Sensing in Grapevine. Phytopathology. 114(2). 464–473. 4 indexed citations
3.
Karn, Avinash, David C. Manns, Anna Katharine Mansfield, et al.. (2022). Stable QTL for malate levels in ripe fruit and their transferability across Vitis species. Horticulture Research. 9. uhac009–uhac009. 13 indexed citations
5.
Zou, Cheng, Avinash Karn, Bruce I. Reisch, et al.. (2022). Genetic Analyses for Leaf Variegation in Hybrid Grape Populations (Vitis spp.) Reveals Two Loci, Lvar1 and Lvar2. HortScience. 57(11). 1416–1423. 2 indexed citations
6.
Gold, Kaitlin M., et al.. (2022). Deep semantic segmentation for the quantification of grape foliar diseases in the vineyard. Frontiers in Plant Science. 13. 978761–978761. 11 indexed citations
7.
Zou, Cheng, Mélanie Massonnet, Andrea Minio, et al.. (2021). Multiple independent recombinations led to hermaphroditism in grapevine. Proceedings of the National Academy of Sciences. 118(15). 30 indexed citations
8.
Cadle‐Davidson, Lance, et al.. (2021). Comparison of Short-Read Sequence Aligners Indicates Strengths and Weaknesses for Biologists to Consider. Frontiers in Plant Science. 12. 657240–657240. 37 indexed citations
9.
Lu, Yin, Avinash Karn, Lance Cadle‐Davidson, et al.. (2021). Fine Mapping of Leaf Trichome Density Revealed a 747-kb Region on Chromosome 1 in Cold-Hardy Hybrid Wine Grape Populations. Frontiers in Plant Science. 12. 587640–587640. 12 indexed citations
10.
Ergon, Åshild, Arne Stensvand, H.R. Gislerød, et al.. (2020). Functional Characterization of Pseudoidium neolycopersici Photolyase Reveals Mechanisms Behind the Efficacy of Nighttime UV on Powdery Mildew Suppression. Frontiers in Microbiology. 11. 1091–1091. 13 indexed citations
12.
Bierman, Andrew, et al.. (2019). A High-Throughput Phenotyping System Using Machine Vision to Quantify Severity of Grapevine Powdery Mildew. Plant Phenomics. 2019. 9209727–9209727. 37 indexed citations
13.
Fresnedo‐Ramírez, Jonathan, S Samuel Yang, Qi Sun, et al.. (2019). Computational Analysis of AmpSeq Data for Targeted, High-Throughput Genotyping of Amplicons. Frontiers in Plant Science. 10. 599–599. 6 indexed citations
14.
Barba, Paola, Jacquelyn Lillis, Renaud Travadon, et al.. (2018). Two dominant loci determine resistance to Phomopsis cane lesions in F1 families of hybrid grapevines. Theoretical and Applied Genetics. 131(5). 1173–1189. 15 indexed citations
15.
Feechan, Angela, Marianna Kocsis, Summaira Riaz, et al.. (2015). Strategies for RUN1 Deployment Using RUN2 and REN2 to Manage Grapevine Powdery Mildew Informed by Studies of Race Specificity. Phytopathology. 105(8). 1104–1113. 48 indexed citations
16.
Kono, Atsushi, Akihiko Sato, Bruce I. Reisch, & Lance Cadle‐Davidson. (2015). Effect of Detergent on the Quantification of Grapevine Downy Mildew Sporangia from Leaf Discs. HortScience. 50(5). 656–660. 10 indexed citations
17.
Hyma, Katie E., Paola Barba, Minghui Wang, et al.. (2015). Heterozygous Mapping Strategy (HetMappS) for High Resolution Genotyping-By-Sequencing Markers: A Case Study in Grapevine. PLoS ONE. 10(8). e0134880–e0134880. 80 indexed citations
18.
Gadoury, David M., Lance Cadle‐Davidson, Wayne F. Wilcox, et al.. (2011). Grapevine powdery mildew ( Erysiphe necator ): a fascinating system for the study of the biology, ecology and epidemiology of an obligate biotroph. Molecular Plant Pathology. 13(1). 1–16. 203 indexed citations
19.
Brewer, Marin T., Lance Cadle‐Davidson, P. Cortesi, Pietro D. Spanu, & Michael G. Milgroom. (2011). Identification and structure of the mating-type locus and development of PCR-based markers for mating type in powdery mildew fungi. Fungal Genetics and Biology. 48(7). 704–713. 42 indexed citations
20.
Ramming, David W., F. Mlikota Gabler, Joseph L. Smilanick, et al.. (2011). Identification of Race-Specific Resistance in North American Vitis spp. Limiting Erysiphe necator Hyphal Growth. Phytopathology. 102(1). 83–93. 22 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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