Dan E. Parfitt

2.8k total citations
84 papers, 2.0k citations indexed

About

Dan E. Parfitt is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dan E. Parfitt has authored 84 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Plant Science, 31 papers in Molecular Biology and 22 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dan E. Parfitt's work include Horticultural and Viticultural Research (30 papers), Plant Physiology and Cultivation Studies (28 papers) and Plant Pathogens and Fungal Diseases (19 papers). Dan E. Parfitt is often cited by papers focused on Horticultural and Viticultural Research (30 papers), Plant Physiology and Cultivation Studies (28 papers) and Plant Pathogens and Fungal Diseases (19 papers). Dan E. Parfitt collaborates with scholars based in United States, Japan and China. Dan E. Parfitt's co-authors include S. Arulsekar, M. L. Badenes, Robert G. Fjellstrom, Carlos H. Crisosto, Thomas M. Gradziel, Ebenezer A. Ogundiwin, Craig E. Kallsen, Gale McGranahan, Helen M. Chan and Dale E. Kester and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Dan E. Parfitt

83 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan E. Parfitt United States 27 1.5k 888 450 409 335 84 2.0k
F. Dicenta Spain 34 3.1k 2.1× 1.9k 2.1× 602 1.3× 548 1.3× 235 0.7× 226 3.7k
Thomas M. Gradziel United States 35 3.2k 2.1× 2.4k 2.7× 1.1k 2.4× 519 1.3× 374 1.1× 156 3.9k
Elisabeth Dirlewanger France 35 3.9k 2.7× 2.0k 2.2× 421 0.9× 403 1.0× 672 2.0× 95 4.4k
Fenny Dane United States 24 1.1k 0.7× 558 0.6× 144 0.3× 127 0.3× 183 0.5× 71 1.5k
John E. Preece United States 23 2.1k 1.4× 1.9k 2.1× 250 0.6× 192 0.5× 369 1.1× 141 2.6k
Alberto Acquadro Italy 30 1.8k 1.2× 717 0.8× 119 0.3× 232 0.6× 163 0.5× 102 2.3k
L. Grant Bailey Canada 16 1.8k 1.2× 1.2k 1.3× 419 0.9× 75 0.2× 220 0.7× 36 2.4k
P. Martínez‐Gómez Spain 37 3.8k 2.6× 1.9k 2.2× 397 0.9× 620 1.5× 336 1.0× 264 4.5k
Shawn A. Mehlenbacher United States 32 2.2k 1.5× 656 0.7× 317 0.7× 1.5k 3.8× 645 1.9× 158 2.8k
Rafael Perl‐Treves Israel 30 2.0k 1.4× 984 1.1× 213 0.5× 166 0.4× 281 0.8× 72 2.5k

Countries citing papers authored by Dan E. Parfitt

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Parfitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Parfitt. 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 Dan E. Parfitt. The network helps show where Dan E. Parfitt may publish in the future.

Co-authorship network of co-authors of Dan E. Parfitt

This figure shows the co-authorship network connecting the top 25 collaborators of Dan E. Parfitt. A scholar is included among the top collaborators of Dan E. Parfitt 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 Dan E. Parfitt. Dan E. Parfitt 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.
Parfitt, Dan E., et al.. (2015). Relationships among Asian persimmon cultivars, astringent and non-astringent types. Real-Time Systems. 51(2). 1–9. 1 indexed citations
3.
Martínez‐García, Pedro J., Jonathan Fresnedo‐Ramírez, Dan E. Parfitt, Thomas M. Gradziel, & Carlos H. Crisosto. (2012). Effect prediction of identified SNPs linked to fruit quality and chilling injury in peach [Prunus persica (L.) Batsch]. Plant Molecular Biology. 81(1-2). 161–174. 22 indexed citations
4.
Kallsen, Craig E. & Dan E. Parfitt. (2011). Comparisons of Scion/rootstock Growth Rates among U.S. Pistachio Cultivars. HortScience. 46(2). 197–200. 8 indexed citations
5.
Ogundiwin, Ebenezer A., Cameron Peace, Thomas M. Gradziel, et al.. (2009). A fruit quality gene map of Prunus. BMC Genomics. 10(1). 587–587. 86 indexed citations
6.
Yonemori, Keizo, Sho Kanzaki, Dan E. Parfitt, Takashi Akagi, & Chitose Honsho. (2008). Phylogeny and Cultivar Development of Diospyros Kaki : A Survey Based on Molecular Analyses. Advances in Horticultural Science. 22(4). 1000–1008. 8 indexed citations
7.
Yi, Ting‐Shuang, Jun Wen, Avi Golan‐Goldhirsh, & Dan E. Parfitt. (2008). Phylogenetics and reticulate evolution in Pistacia (Anacardiaceae). American Journal of Botany. 95(2). 241–251. 68 indexed citations
8.
Parfitt, Dan E., et al.. (2007). The effect of live yeast inclusion into mixed forage diets on milk yield , locomotion score , lameness and sole bruising in first lactation Holstein Friesian dairy cattle. Proceedings of the New Zealand Society of Animal Production. 67. 272–275.
9.
Kallsen, Craig E., Dan E. Parfitt, & Brent A. Holtz. (2007). Early Differences in the Intensity of Alternate Bearing Among Selected Pistachio Genotypes. HortScience. 42(7). 1740–1743. 21 indexed citations
10.
Parfitt, Dan E., et al.. (2007). ‘Golden Hills’ Pistachio. HortScience. 42(3). 694–696. 8 indexed citations
11.
Parfitt, Dan E., et al.. (2003). Resistance to Botryosphaeria dothidea in Pistachio. HortScience. 38(4). 529–531. 4 indexed citations
12.
Bortiri, Esteban, Sang‐Hun Oh, Jian‐Guo Jiang, et al.. (2001). Phylogeny and Systematics of Prunus (Rosaceae) as Determined by Sequence Analysis of ITS and the Chloroplast trnL-trnF Spacer DNA. Systematic Botany. 26(4). 797–807. 152 indexed citations
13.
Badenes, M. L. & Dan E. Parfitt. (1995). Phylogenetic relationships of cultivated Prunus species from an analysis of chloroplast DNA variation. Theoretical and Applied Genetics. 90(7-8). 1035–1041. 89 indexed citations
14.
Parfitt, Dan E. & M. L. Badenes. (1994). 229 PHYLOGENETIC RELATIONSHIPS OF PISTACIA SPECIES FROM ANALYSIS OF CHLOROPLAST DNA VARIATION. HortScience. 29(5). 462c–462. 1 indexed citations
15.
Parfitt, Dan E. & S. Arulsekar. (1989). Inheritance and Isozyme Diversity for GPI and PGM among Grape Cultivars. Journal of the American Society for Horticultural Science. 114(3). 486–491. 15 indexed citations
16.
Parfitt, Dan E., et al.. (1989). Outcrossing in Peach. HortScience. 24(2). 359–360. 4 indexed citations
17.
Parfitt, Dan E. & S. Ganeshan. (1989). Comparison of Procedures for Estimating Viability of Prunus Pollen. HortScience. 24(2). 354–356. 49 indexed citations
18.
Parfitt, Dan E., et al.. (1986). In vitro propagation of peach. I. Propagation of 'Lovell' and 'Nemaguard' peach rootstocks. Fruit varieties journal. 40(1). 12–17. 19 indexed citations
19.
Arulsekar, S. & Dan E. Parfitt. (1986). Isozyme Analysis Procedures for Stone Fruits, Almond, Grape, Walnut, Pistachio, and Fig. HortScience. 21(4). 928–933. 90 indexed citations
20.
Parfitt, Dan E., et al.. (1984). Liquid Nitrogen Storage of Pollen from Five Cultivated Prunus Species. HortScience. 19(1). 69–70. 29 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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