Daniel S. Egel

1.1k total citations
32 papers, 604 citations indexed

About

Daniel S. Egel is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Daniel S. Egel has authored 32 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 15 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Daniel S. Egel's work include Plant Pathogens and Fungal Diseases (15 papers), Plant Disease Management Techniques (14 papers) and Plant-Microbe Interactions and Immunity (10 papers). Daniel S. Egel is often cited by papers focused on Plant Pathogens and Fungal Diseases (15 papers), Plant Disease Management Techniques (14 papers) and Plant-Microbe Interactions and Immunity (10 papers). Daniel S. Egel collaborates with scholars based in United States, Mexico and Ethiopia. Daniel S. Egel's co-authors include Robert E. Stall, Kathryne L. Everts, David B. Langston, J. H. Graham, Rui Pereira Leite, Lori Hoagland, Xin‐Gen Zhou, Nathan M. Kleczewski, Gerald V. Minsavage and Jeffrey B. Jones and has published in prestigious journals such as Applied and Environmental Microbiology, Frontiers in Microbiology and Phytopathology.

In The Last Decade

Daniel S. Egel

32 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Egel United States 13 574 249 42 27 25 32 604
Gerardo Rodríguez‐Alvarado Mexico 10 359 0.6× 197 0.8× 59 1.4× 11 0.4× 16 0.6× 55 381
Sylvia Patricia Fernández-Pavía Mexico 11 363 0.6× 233 0.9× 80 1.9× 18 0.7× 6 0.2× 60 403
Zhechao Pan China 9 312 0.5× 91 0.4× 42 1.0× 50 1.9× 20 0.8× 9 369
D. Ladhalakshmi India 12 426 0.7× 92 0.4× 72 1.7× 31 1.1× 26 1.0× 28 449
Frankie K. Crutcher United States 11 278 0.5× 99 0.4× 72 1.7× 16 0.6× 21 0.8× 24 346
L. Luongo Italy 13 476 0.8× 390 1.6× 123 2.9× 55 2.0× 11 0.4× 48 567
S. Vitale Italy 11 296 0.5× 255 1.0× 87 2.1× 31 1.1× 7 0.3× 42 349
Christopher S. Cramer United States 12 510 0.9× 168 0.7× 58 1.4× 25 0.9× 78 3.1× 48 550
Anne Préveaux France 9 494 0.9× 118 0.5× 107 2.5× 63 2.3× 9 0.4× 13 566
P. Narayanasamy India 10 288 0.5× 93 0.4× 65 1.5× 27 1.0× 9 0.4× 51 341

Countries citing papers authored by Daniel S. Egel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Egel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Egel. 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 Daniel S. Egel. The network helps show where Daniel S. Egel may publish in the future.

Co-authorship network of co-authors of Daniel S. Egel

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Egel. A scholar is included among the top collaborators of Daniel S. Egel 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 Daniel S. Egel. Daniel S. Egel 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.
Guan, Wenjing, et al.. (2023). Strawberry Cultivar Susceptibility to Neopestalotiopsis Leaf Spot in Indiana. Plant Health Progress. 24(2). 135–139. 8 indexed citations
2.
Ivey, Melanie L. Lewis, et al.. (2023). Population Genomics Reveals an Emerging Lineage of Xanthomonas perforans on Pepper. Phytopathology. 114(1). 241–250. 2 indexed citations
3.
Egel, Daniel S., et al.. (2020). First Report of Macrophomina phaseolina Causing Charcoal Rot of Cucumber in Indiana. Plant Disease. 104(7). 2030–2030. 3 indexed citations
4.
Jaiswal, Amit K., Tesfaye Mengiste, James R. Myers, Daniel S. Egel, & Lori Hoagland. (2020). Tomato Domestication Attenuated Responsiveness to a Beneficial Soil Microbe for Plant Growth Promotion and Induction of Systemic Resistance to Foliar Pathogens. Frontiers in Microbiology. 11. 604566–604566. 33 indexed citations
5.
Guan, Wenjing, et al.. (2019). Parthenocarpic Cucumber Cultivar Evaluation in High-tunnel Production. HortTechnology. 29(5). 634–642. 7 indexed citations
6.
Egel, Daniel S., et al.. (2019). Efficacy of organic disease control products on common foliar diseases of tomato in field and greenhouse trials. Crop Protection. 122. 90–97. 18 indexed citations
7.
Foster, R. E., et al.. (2018). Muskmelon Cultivar Attractiveness to Striped Cucumber Beetle and Susceptibility to Bacterial Wilt. HortScience. 53(6). 782–787. 1 indexed citations
8.
Kousik, Chandrasekar S., Pingsheng Ji, Daniel S. Egel, & L. M. Quesada-Ocampo. (2017). Fungicide Rotation Programs for Managing Phytophthora Fruit Rot of Watermelon in Southeastern United States. Plant Health Progress. 18(1). 28–34. 11 indexed citations
9.
Hoagland, Lori, et al.. (2016). Suppression of Phytophthora Blight in Sweet Pepper Depends on Biochar Amendment and Soil Type. HortScience. 51(5). 518–524. 12 indexed citations
10.
Angelella, Gina M., Daniel S. Egel, Jeffrey D. Holland, et al.. (2015). Differential Life History Trait Associations of Aphids with Nonpersistent Viruses in Cucurbits. Environmental Entomology. 44(3). 562–573. 6 indexed citations
11.
Gunter, Christopher C. & Daniel S. Egel. (2013). Staminate Flower Production and Fusarium Wilt Reaction of Diploid Cultivars Used as Pollenizers for Triploid Watermelon. HortScience. 48(9). 57. 1 indexed citations
12.
Gunter, Christopher C. & Daniel S. Egel. (2012). Staminate Flower Production and Fusarium Wilt Reaction of Diploid Cultivars Used as Pollenizers for Triploid Watermelon. HortTechnology. 22(5). 694–699. 4 indexed citations
13.
Kleczewski, Nathan M. & Daniel S. Egel. (2011). A Diagnostic Guide for Fusarium Wilt of Watermelon. Plant Health Progress. 12(1). 26 indexed citations
14.
Egel, Daniel S., R. D. Martyn, & Christopher C. Gunter. (2008). Planting Method, Plastic Mulch, and Fumigation Influence Growth, Yield, and Root Structure of Watermelon. HortScience. 43(5). 1410–1414. 9 indexed citations
15.
Egel, Daniel S. & Scott Adkins. (2007). Squash vein yellowing virus Identified in Watermelon (Citrullus lanatus) in Indiana. Plant Disease. 91(8). 1056–1056. 22 indexed citations
16.
Egel, Daniel S. & Philip F. Harmon. (2001). Effects of Nozzle Type and Spray Pressure on Control of Alternaria Leaf Blight of Muskmelon with Chlorothalonil. Plant Disease. 85(10). 1081–1084. 9 indexed citations
17.
Egel, Daniel S., et al.. (2000). Mature Watermelon Vine Decline: A Disease of Unknown Etiology in Southwestern Indiana. Plant Health Progress. 1(1). 2 indexed citations
18.
Leite, Rui Pereira, Daniel S. Egel, & Robert E. Stall. (1994). Genetic analysis of hrp-related DNA sequences of Xanthomonas campestris strains causing diseases of citrus. Applied and Environmental Microbiology. 60(4). 1078–1086. 26 indexed citations
19.
Egel, Daniel S.. (1994). Relationships Among Isolates ofAspergillussect.flavithat Vary in Aflatoxin Production. Phytopathology. 84(9). 906–906. 93 indexed citations
20.
Egel, Daniel S.. (1991). Population Dynamics of Strains ofXanthomonas campestrisDiffering in Aggressiveness on Swingle Citrumelo and Grapefruit. Phytopathology. 81(6). 666–666. 17 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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