Kevin M. Crosby

6.3k total citations · 2 hit papers
113 papers, 4.8k citations indexed

About

Kevin M. Crosby is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Kevin M. Crosby has authored 113 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Plant Science, 27 papers in Genetics and 20 papers in Molecular Biology. Recurrent topics in Kevin M. Crosby's work include Advances in Cucurbitaceae Research (22 papers), Plant Virus Research Studies (19 papers) and Postharvest Quality and Shelf Life Management (16 papers). Kevin M. Crosby is often cited by papers focused on Advances in Cucurbitaceae Research (22 papers), Plant Virus Research Studies (19 papers) and Postharvest Quality and Shelf Life Management (16 papers). Kevin M. Crosby collaborates with scholars based in United States, Brazil and South Africa. Kevin M. Crosby's co-authors include David Byrne, Luis Cisneros‐Zevallos, Kriengsak Thaipong, Unaroj Boonprakob, Bhimanagouda S. Patil, G.K. Jayaprakasha, John L. Jifon, Daniel I. Leskovar, Pratibha Acharya and Kil Sun Yoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Kevin M. Crosby

107 papers receiving 4.5k citations

Hit Papers

Comparison of ABTS, DPPH, FRAP, and ORAC assays for estim... 2006 2026 2012 2019 2006 2020 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin M. Crosby United States 22 2.5k 1.8k 1.4k 795 461 113 4.8k
Višnja Katalinić Croatia 24 1.6k 0.6× 2.0k 1.1× 1.9k 1.4× 696 0.9× 257 0.6× 47 4.1k
Giovanni Caprioli Italy 39 1.6k 0.6× 1.0k 0.6× 1.9k 1.3× 1.1k 1.4× 471 1.0× 258 5.1k
Pilar Prieto Spain 27 3.6k 1.4× 2.0k 1.1× 1.6k 1.1× 1.5k 1.9× 439 1.0× 56 6.4k
Charalampos Proestos Greece 32 1.5k 0.6× 1.6k 0.9× 1.8k 1.3× 1.0k 1.3× 481 1.0× 182 4.9k
Elhadi M. Yahia Mexico 44 3.9k 1.6× 2.3k 1.3× 2.2k 1.6× 1.0k 1.3× 738 1.6× 177 7.3k
Daniel A. Jacobo‐Velázquez Mexico 33 2.2k 0.9× 1.5k 0.9× 1.3k 0.9× 1.3k 1.6× 555 1.2× 119 4.5k
Manuel Pineda Spain 25 3.2k 1.3× 2.0k 1.1× 1.7k 1.2× 1.6k 2.0× 504 1.1× 93 6.7k
Jasna Čanadanović‐Brunet Serbia 37 1.2k 0.5× 1.8k 1.0× 2.2k 1.5× 673 0.8× 709 1.5× 102 4.2k
Ahmet Mavi Türkiye 21 1.6k 0.7× 1.1k 0.6× 1.6k 1.1× 933 1.2× 180 0.4× 52 3.6k
Hervé Rogez Brazil 33 1.3k 0.5× 1.5k 0.8× 1.7k 1.2× 797 1.0× 508 1.1× 121 4.1k

Countries citing papers authored by Kevin M. Crosby

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Crosby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin M. Crosby

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Crosby. A scholar is included among the top collaborators of Kevin M. Crosby 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 Kevin M. Crosby. Kevin M. Crosby 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.
Workneh, F., et al.. (2024). Tsw -Resistant Pepper Cultivars Offer Limited Protection Against Resistance-Breaking Isolates of Tomato Spotted Wilt Virus. Plant Health Progress. 26(2). 170–176. 1 indexed citations
2.
Crosby, Kevin M., et al.. (2024). Biochar reduces containerized pepper blight caused by Phytophthora Capsici. Scientific Reports. 14(1). 30664–30664. 2 indexed citations
5.
Nagashima, Yukihiro, Jashbir Singh, Rita Metrani, et al.. (2023). Genetic and geographical inputs that shape Metabolomic and transcriptomic profiles of melon fruits. Scientia Horticulturae. 321. 112337–112337. 2 indexed citations
6.
Bedre, Renesh, et al.. (2022). Phenotypic Diversity and Association Mapping of Ascorbic Acid Content in Spinach. Frontiers in Genetics. 12. 752313–752313. 4 indexed citations
7.
Joshi, Vijay, Padma Nimmakayala, Venkata Lakshmi Abburi, et al.. (2021). Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon. PeerJ. 9. e12343–e12343. 9 indexed citations
8.
Singh, Jashbir, Rita Metrani, G.K. Jayaprakasha, et al.. (2021). Profiling carotenoid and sugar contents in unique Cucumis melo L. cultigens harvested from different climatic regions of the United States. Journal of Food Composition and Analysis. 106. 104306–104306. 11 indexed citations
9.
Nagashima, Yukihiro, Jashbir Singh, Rita Metrani, et al.. (2020). Transition of aromatic volatile and transcriptome profiles during melon fruit ripening. Plant Science. 304. 110809–110809. 19 indexed citations
10.
Acharya, Pratibha, G.K. Jayaprakasha, Kevin M. Crosby, John L. Jifon, & Bhimanagouda S. Patil. (2020). Nanoparticle-Mediated Seed Priming Improves Germination, Growth, Yield, and Quality of Watermelons (Citrullus lanatus) at multi-locations in Texas. Scientific Reports. 10(1). 5037–5037. 249 indexed citations breakdown →
11.
Nagashima, Yukihiro, Xiaoning Qian, Kevin M. Crosby, et al.. (2020). Frequent asymptomatic infection with tobacco ringspot virus on melon fruit. Virus Research. 293. 198266–198266. 9 indexed citations
12.
Dong, Xuejun, Daniel I. Leskovar, & Kevin M. Crosby. (2014). Quantifying Crop Water Use in Arid and Semi-Arid Regions : Opportunities Based on Soil-Plant Water Relations (DESERT TECHNOLOGY 11 INTERNATIONAL CONFERENCE). 24(1). 141–144. 1 indexed citations
13.
Crosby, Kevin M., et al.. (2013). ‘CaroTex-312’, a High-yielding, Orange-fruited, Habanero-type, F1 Hybrid Pepper. HortScience. 48(8). 1059–1061. 3 indexed citations
14.
Crosby, Kevin M., et al.. (2009). A Genetic Linkage Map including Loci for Male Sterility, Sugars, and Ascorbic Acid in Melon. Journal of the American Society for Horticultural Science. 134(1). 67–76. 13 indexed citations
15.
Crosby, Kevin M., John L. Jifon, & Daniel I. Leskovar. (2007). 'Pacal' orange-casaba, and 'Chujuc' Western-Shipper cantaloupe: Two new melon cultivars from the Texas Agricultural Experiment Station. HortScience. 42(4). 1013–1013. 4 indexed citations
16.
Crosby, Kevin M., et al.. (2006). Quantitative Trait Loci Affecting Ascorbic Acid in Melon. 234–234. 1 indexed citations
17.
Crosby, Kevin M., et al.. (2004). Detection of QTL Controlling Fruit Size and Shape in Cucumis melo L.. HortScience. 39(4). 774E–775. 1 indexed citations
18.
Crosby, Kevin M., et al.. (2004). Identification of QTL Affecting Sugars in Ananas Melon. HortScience. 39(4). 774D–774. 2 indexed citations
19.
Lester, Gene E. & Kevin M. Crosby. (2002). Ascorbic Acid, Folic Acid, and Potassium Content in Postharvest Green-flesh Honeydew Muskmelons: Influence of Cultivar, Fruit Size, Soil Type, and Year. Journal of the American Society for Horticultural Science. 127(5). 843–847. 40 indexed citations
20.
Crosby, Kevin M., David W. Wolff, & Marvin E. Miller. (2000). Comparisons of Root Morphology in Susceptible and Tolerant Melon Cultivars before and after Infection by Monosporascus cannonballus. HortScience. 35(4). 681–683. 15 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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