Cecilia McGregor

2.1k total citations
54 papers, 1.3k citations indexed

About

Cecilia McGregor is a scholar working on Plant Science, Genetics and Food Science. According to data from OpenAlex, Cecilia McGregor has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 29 papers in Genetics and 9 papers in Food Science. Recurrent topics in Cecilia McGregor's work include Advances in Cucurbitaceae Research (26 papers), Plant Disease Resistance and Genetics (15 papers) and Plant Virus Research Studies (13 papers). Cecilia McGregor is often cited by papers focused on Advances in Cucurbitaceae Research (26 papers), Plant Disease Resistance and Genetics (15 papers) and Plant Virus Research Studies (13 papers). Cecilia McGregor collaborates with scholars based in United States, China and South Korea. Cecilia McGregor's co-authors include M.M. Greyling, Louise Warnich, Claudie Lambert, J.H. Louw, Geoffrey Meru, Yiqun Weng, Shi Liu, Yuhui Wang, Meiling Gao and Josh Clevenger and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Cecilia McGregor

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cecilia McGregor United States 19 1.1k 631 357 160 150 54 1.3k
María Ferriol Spain 15 895 0.8× 484 0.8× 264 0.7× 107 0.7× 92 0.6× 39 1.1k
Iban Eduardo Spain 23 1.5k 1.3× 552 0.9× 645 1.8× 185 1.2× 122 0.8× 61 1.8k
Sung‐Chur Sim South Korea 24 1.6k 1.4× 595 0.9× 541 1.5× 89 0.6× 49 0.3× 63 1.8k
Guoyi Gong China 26 1.7k 1.5× 739 1.2× 1.1k 3.0× 203 1.3× 101 0.7× 48 2.0k
Qunfeng Lou China 24 1.3k 1.2× 603 1.0× 653 1.8× 216 1.4× 43 0.3× 93 1.5k
Amy Frary United States 10 1.3k 1.2× 530 0.8× 609 1.7× 32 0.2× 82 0.5× 15 1.6k
Aurora Díaz Spain 16 1.0k 0.9× 675 1.1× 345 1.0× 167 1.0× 98 0.7× 34 1.3k
G. A. Churchill United States 4 1.2k 1.1× 616 1.0× 291 0.8× 34 0.2× 104 0.7× 6 1.4k
Yıldız Aka Kaçar Türkiye 20 922 0.8× 188 0.3× 475 1.3× 74 0.5× 67 0.4× 96 1.1k

Countries citing papers authored by Cecilia McGregor

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia McGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cecilia McGregor. 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 Cecilia McGregor. The network helps show where Cecilia McGregor may publish in the future.

Co-authorship network of co-authors of Cecilia McGregor

This figure shows the co-authorship network connecting the top 25 collaborators of Cecilia McGregor. A scholar is included among the top collaborators of Cecilia McGregor 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 Cecilia McGregor. Cecilia McGregor 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.
Bag, Sudeep, et al.. (2024). Evaluation of Squash (Cucurbita pepo L.) Genotypes for Resistance to Cucurbit Chlorotic Yellows Virus. Horticulturae. 10(3). 264–264. 3 indexed citations
2.
3.
Subburaj, Saminathan, et al.. (2023). ClPSY1 gene-based SNP markers identified from whole-genome resequencing for the determination of orange flesh color and carotenoid content in watermelon. Scientia Horticulturae. 318. 112120–112120. 4 indexed citations
4.
Goldman, Irwin L., et al.. (2023). Form and contour: breeding and genetics of organ shape from wild relatives to modern vegetable crops. Frontiers in Plant Science. 14. 1257707–1257707. 1 indexed citations
5.
Wu, Shan, Honghe Sun, Lei Gao, et al.. (2023). A Citrullus genus super‐pangenome reveals extensive variations in wild and cultivated watermelons and sheds light on watermelon evolution and domestication. Plant Biotechnology Journal. 21(10). 1926–1928. 17 indexed citations
6.
Meru, Geoffrey, Yaying Wang, Mathews L. Paret, et al.. (2022). Field Evaluation of Cucurbita Germplasm for Resistance to Whiteflies and Whitefly-transmitted Viruses. HortScience. 57(2). 337–344. 9 indexed citations
7.
8.
Boyhan, George E., et al.. (2019). Inter- and Intracultivar Variation of Heirloom and Open-pollinated Watermelon Cultivars. HortScience. 54(2). 212–220. 7 indexed citations
9.
Meru, Geoffrey & Cecilia McGregor. (2016). A Genetic Locus Associated with Resistance to Fusarium oxysporum f. sp. niveum Race 2 in Citrullus lanatus-type Watermelon. Journal of the American Society for Horticultural Science. 141(6). 617–622. 10 indexed citations
10.
McGregor, Cecilia, et al.. (2014). Flowering Patterns of Pollenizer and Triploid Watermelon Cultivars. HortScience. 49(6). 714–721. 6 indexed citations
11.
Ren, Yi, Cecilia McGregor, Yan Zhang, et al.. (2014). An integrated genetic map based on four mapping populations and quantitative trait loci associated with economically important traits in watermelon (Citrullus lanatus). BMC Plant Biology. 14(1). 33–33. 87 indexed citations
12.
Abdel‐Haleem, Hussein, et al.. (2013). Quantitative Trait Loci Associated with Sex Expression in an Inter-subspecific Watermelon Population. Journal of the American Society for Horticultural Science. 138(2). 125–130. 11 indexed citations
13.
Meru, Geoffrey & Cecilia McGregor. (2013). Genetic Mapping of Seed Traits Correlated with Seed Oil Percentage in Watermelon. HortScience. 48(8). 955–959. 19 indexed citations
14.
McGregor, Cecilia, et al.. (2013). Pollen Viability of F1 Hybrids between Watermelon Cultivars and Disease-resistant, Infraspecific Crop Wild Relatives. HortScience. 48(12). 1428–1432. 10 indexed citations
15.
Bachlava, Eleni, et al.. (2012). Mapping of the Egusi Seed Trait Locus (eg) and Quantitative Trait Loci Associated with Seed Oil Percentage in Watermelon. Journal of the American Society for Horticultural Science. 137(5). 311–315. 22 indexed citations
16.
Abdel‐Haleem, Hussein, et al.. (2012). Main and Epistatic Quantitative Trait Loci Associated with Seed Size in Watermelon. Journal of the American Society for Horticultural Science. 137(6). 452–457. 30 indexed citations
17.
Heesacker, Adam, Eleni Bachlava, C. A. Taylor, et al.. (2012). Comparative mapping in watermelon [Citrullus lanatus (Thunb.) Matsum. et Nakai]. Theoretical and Applied Genetics. 125(8). 1603–1618. 75 indexed citations
18.
McGregor, Cecilia, et al.. (2011). Genotypic and Phenotypic Variation among Pepper Accessions Resistant to Phytophthora capsici. HortScience. 46(9). 1235–1240. 16 indexed citations
19.
Husseneder, Claudia, et al.. (2011). Transcriptome profiling of female alates and egg-laying queens of the Formosan subterranean termite. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 7(1). 14–27. 21 indexed citations
20.
McGregor, Cecilia, Douglas W. Miano, Don R. LaBonte, et al.. (2009). Differential Gene Expression of Resistant and Susceptible Sweetpotato Plants after Infection with the Causal Agents of Sweet Potato Virus Disease. Journal of the American Society for Horticultural Science. 134(6). 658–666. 19 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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