James J. Luby

4.8k total citations
159 papers, 3.3k citations indexed

About

James J. Luby is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, James J. Luby has authored 159 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Plant Science, 26 papers in Cell Biology and 25 papers in Molecular Biology. Recurrent topics in James J. Luby's work include Horticultural and Viticultural Research (67 papers), Berry genetics and cultivation research (65 papers) and Plant Physiology and Cultivation Studies (61 papers). James J. Luby is often cited by papers focused on Horticultural and Viticultural Research (67 papers), Berry genetics and cultivation research (65 papers) and Plant Physiology and Cultivation Studies (61 papers). James J. Luby collaborates with scholars based in United States, Canada and Netherlands. James J. Luby's co-authors include James F. Hancock, Ann Marie Connor, Cindy B. S. Tong, Chad E. Finn, Richard Harrison, Eric J. Hanson, David S. Bedford, Douglas V. Shaw, Cameron Peace and Chengyan Yue and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

James J. Luby

152 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Luby United States 31 2.8k 861 508 469 464 159 3.3k
Ahmed Mliki Tunisia 28 2.1k 0.7× 913 1.1× 314 0.6× 208 0.4× 664 1.4× 143 2.6k
Gan‐Yuan Zhong United States 24 2.4k 0.9× 1.2k 1.3× 247 0.5× 241 0.5× 441 1.0× 55 3.0k
Laurent Torregrosa France 31 2.8k 1.0× 2.2k 2.5× 251 0.5× 376 0.8× 1.1k 2.4× 81 3.4k
Domenico Carputo Italy 31 2.3k 0.8× 1.1k 1.3× 179 0.4× 225 0.5× 846 1.8× 128 2.9k
E. Peterlunger Italy 24 2.4k 0.8× 997 1.2× 234 0.5× 261 0.6× 1.3k 2.7× 58 2.7k
Claudio Bonghi Italy 34 2.7k 1.0× 1.2k 1.4× 202 0.4× 250 0.5× 540 1.2× 91 3.1k
Stefano La Malfa Italy 26 1.7k 0.6× 910 1.1× 301 0.6× 225 0.5× 426 0.9× 129 2.3k
P. D. S. Caligari United Kingdom 35 3.0k 1.1× 1.1k 1.3× 161 0.3× 312 0.7× 580 1.3× 174 3.9k
Pablo F. Cavagnaro Argentina 26 1.4k 0.5× 778 0.9× 93 0.2× 324 0.7× 343 0.7× 68 2.0k
Massimo Iorizzo United States 28 1.5k 0.6× 1.0k 1.2× 222 0.4× 416 0.9× 349 0.8× 105 2.3k

Countries citing papers authored by James J. Luby

Since Specialization
Citations

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

Fields of papers citing papers by James J. Luby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J. Luby

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Luby. A scholar is included among the top collaborators of James J. Luby 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 James J. Luby. James J. Luby 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.
Powell, Ashley A., et al.. (2024). Genomewide prediction to target russet formation in apple. SHILAP Revista de lepidopterología. 4(1). 0–0. 1 indexed citations
2.
Clark, Matthew D., James J. Luby, & Amaya Atucha. (2023). ‘Clarion’ Grapevine: A White Wine Cultivar for Midwest United States Production. HortScience. 58(2). 231–233.
3.
Luby, James J., et al.. (2022). Extended Pedigrees of Apple Cultivars from the University of Minnesota Breeding Program Elucidated Using SNP Array Markers. HortScience. 57(3). 472–477. 17 indexed citations
4.
Howard, Nicholas P., Cameron Peace, Kevin A.T. Silverstein, et al.. (2021). The use of shared haplotype length information for pedigree reconstruction in asexually propagated outbreeding crops, demonstrated for apple and sweet cherry. Horticulture Research. 8(1). 202–202. 20 indexed citations
5.
Main, Dorrie, Sook Jung, Cameron Peace, et al.. (2019). Data Access and Use: From Rosbreed Data Management to Genomic Prediction. HortScience. 54(9).
6.
Yue, Chengyan, R. Karina Gallardo, James J. Luby, et al.. (2014). An Evaluation of U.S. Peach Producers’ Trait Prioritization: Evidence from Audience Surveys. HortScience. 49(10). 1309–1314. 10 indexed citations
7.
Clark, Matthew D., et al.. (2014). A consensus ‘Honeycrisp’ apple (Malus × domestica) genetic linkage map from three full-sib progeny populations. Tree Genetics & Genomes. 10(3). 627–639. 21 indexed citations
8.
Gallardo, R. Karina, Huixin Li, Vicki McCracken, et al.. (2014). Market Intermediaries’ Willingness to Pay for Apple, Peach, Cherry, and Strawberry Quality Attributes. Agribusiness. 31(2). 259–280. 28 indexed citations
9.
Bradeen, James M., et al.. (2011). Prediction of Genotypic Values for Apple Fruit Texture Traits in a Breeding Population Derived from ‘Honeycrisp’. Journal of the American Society for Horticultural Science. 136(6). 408–414. 15 indexed citations
10.
Luby, James J. & Douglas V. Shaw. (2009). Plant Breeders' Perspectives on Improving Yield and Quality Traits in Horticultural Food Crops. HortScience. 44(1). 20–22. 20 indexed citations
11.
Burnes, Todd A., Robert A. Blanchette, Jason Smith, & James J. Luby. (2008). Black Currant Clonal Identity and White Pine Blister Rust Resistance. HortScience. 43(1). 200–202. 4 indexed citations
12.
13.
Bedford, David S., et al.. (2005). Relationship of Instrumental and Sensory Texture Measurements of Fresh and Stored Apples to Cell Number and Size. HortScience. 40(6). 1815–1820. 43 indexed citations
14.
Luby, James J., et al.. (1994). Incongruity in the interspecific crosses of Vitis L. Morphological abnormalities in the F2 progeny. Euphytica. 78(3). 227–237. 13 indexed citations
15.
Finn, Chad E. & James J. Luby. (1992). Inheritance of Fruit Quality Traits in Blueberry. Journal of the American Society for Horticultural Science. 117(4). 617–621. 12 indexed citations
16.
Smith, Barbara J., et al.. (1991). Greenhouse efficacy of fungicides for control of anthracnose crown rot of strawberry.. 221–223. 8 indexed citations
17.
Finn, Chad E., et al.. (1990). Half-high blueberry cultivars.. Fruit varieties journal. 44(2). 63–68. 10 indexed citations
18.
Finn, Chad E., Carl J. Rosen, & James J. Luby. (1990). Nitrogen Form and Solution pH Effects on Root Anatomy of Cranberry. HortScience. 25(11). 1419–1421. 6 indexed citations
19.
Anderson, Neil O., Peter D. Ascher, Richard E. Widmer, & James J. Luby. (1990). Rapid Generation Cycling of Chrysanthemum Using Laboratory Seed Development and Embryo Rescue Techniques. Journal of the American Society for Horticultural Science. 115(2). 329–336. 19 indexed citations
20.
Luby, James J., et al.. (1988). Fruit set in half-high blueberry genotypes following self and cross pollination.. Fruit varieties journal. 42(4). 126–129. 9 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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