Kenneth J. Buckley

454 total citations
9 papers, 327 citations indexed

About

Kenneth J. Buckley is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Kenneth J. Buckley has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Infectious Diseases. Recurrent topics in Kenneth J. Buckley's work include Plant Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Transgenic Plants and Applications (3 papers). Kenneth J. Buckley is often cited by papers focused on Plant Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Transgenic Plants and Applications (3 papers). Kenneth J. Buckley collaborates with scholars based in United States and South Korea. Kenneth J. Buckley's co-authors include David M. Bisaro, Rainer Buchmann, Xiaojuan Yang, Masaki Hayashi, Keith Davis, Sukchan Lee, Edward M. Golenberg, D. Noah Sather, Jong-Bum Park and Jungan Park and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and Plant Cell Reports.

In The Last Decade

Kenneth J. Buckley

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth J. Buckley United States 7 247 125 71 52 46 9 327
Lada Rasochová United States 8 255 1.0× 91 0.7× 77 1.1× 79 1.5× 49 1.1× 12 340
Anna Jakubiec France 8 295 1.2× 163 1.3× 68 1.0× 37 0.7× 46 1.0× 10 421
Yvan Chapdelaine Canada 12 253 1.0× 293 2.3× 57 0.8× 46 0.9× 56 1.2× 14 619
Devinka Bamunusinghe United States 9 296 1.2× 91 0.7× 85 1.2× 25 0.5× 73 1.6× 11 348
Shuhei Miyashita Japan 11 356 1.4× 75 0.6× 93 1.3× 58 1.1× 65 1.4× 38 445
Narayanaswamy Kirthi India 9 181 0.7× 180 1.4× 70 1.0× 45 0.9× 20 0.4× 10 336
Pan Gong China 13 414 1.7× 155 1.2× 70 1.0× 65 1.3× 21 0.5× 24 459
Juan J. Bernal Spain 11 400 1.6× 82 0.7× 181 2.5× 85 1.6× 32 0.7× 12 434
Allan Olspert Estonia 10 340 1.4× 91 0.7× 169 2.4× 57 1.1× 47 1.0× 16 411

Countries citing papers authored by Kenneth J. Buckley

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth J. Buckley

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Buckley. A scholar is included among the top collaborators of Kenneth J. Buckley 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 Kenneth J. Buckley. Kenneth J. Buckley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zhu, Yali, et al.. (2012). Characterization of the RNA Silencing Suppression Activity of the Ebola Virus VP35 Protein in Plants and Mammalian Cells. Journal of Virology. 86(6). 3038–3049. 25 indexed citations
2.
Park, Jungan, Hyunsik Hwang, Kenneth J. Buckley, et al.. (2010). C4 protein of Beet severe curly top virus is a pathomorphogenetic factor in Arabidopsis. Plant Cell Reports. 29(12). 1377–1389. 31 indexed citations
3.
Golenberg, Edward M., et al.. (2009). Development of a gene silencing DNA vector derived from a broad host range geminivirus. Plant Methods. 5(1). 9–9. 29 indexed citations
4.
Hur, Jingyung, Eun Seok Choi, Kenneth J. Buckley, Sukchan Lee, & Keith Davis. (2008). Identification of a Promoter Motif Involved in Curtovirus Sense-Gene Expression in Transgenic Arabidopsis. Molecules and Cells. 26(2). 131–139. 11 indexed citations
5.
Hur, Jingyung, Kenneth J. Buckley, Sukchan Lee, & Keith Davis. (2007). Transcriptional Activator Elements for Curtovirus C1 Expression Reside in the 3’ Coding Region of ORF C1. Molecules and Cells. 23(1). 80–87. 5 indexed citations
6.
Buckley, Kenneth J., et al.. (2005). Adenosine Kinase Inhibition and Suppression of RNA Silencing by Geminivirus AL2 and L2 Proteins. Journal of Virology. 79(12). 7410–7418. 172 indexed citations
7.
Hamatake, Robert, Kenneth J. Buckley, & Masaki Hayashi. (1988). The J gene of ϕX174: Isolation and characterization of a J gene mutant. Molecular and General Genetics MGG. 211(1). 72–77. 3 indexed citations
8.
Buckley, Kenneth J. & Masaki Hayashi. (1987). Role of premature translational termination in the regulation of expression of the φX174 lysis gene. Journal of Molecular Biology. 198(4). 599–607. 13 indexed citations
9.
Buckley, Kenneth J. & Masaki Hayashi. (1986). Lytic activity localized to membrane-spanning region of ϕX174 E protein. Molecular and General Genetics MGG. 204(1). 120–125. 38 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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