David M. Bisaro

7.0k total citations
75 papers, 5.4k citations indexed

About

David M. Bisaro is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, David M. Bisaro has authored 75 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Plant Science, 30 papers in Molecular Biology and 16 papers in Biotechnology. Recurrent topics in David M. Bisaro's work include Plant Virus Research Studies (68 papers), Transgenic Plants and Applications (16 papers) and Plant Disease Resistance and Genetics (15 papers). David M. Bisaro is often cited by papers focused on Plant Virus Research Studies (68 papers), Transgenic Plants and Applications (16 papers) and Plant Disease Resistance and Genetics (15 papers). David M. Bisaro collaborates with scholars based in United States, China and United Kingdom. David M. Bisaro's co-authors include Garry Sunter, Drake C. Stenger, Rainer Buchmann, Priya Raja, William E. Gardiner, Sheriar G. Hormuzdi, Stephen G. Rogers, Leslie Brand, J. Scott Elmer and Linhui Hao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David M. Bisaro

73 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Bisaro United States 40 5.2k 1.9k 1.1k 919 785 75 5.4k
József Burgyán Hungary 48 6.3k 1.2× 2.8k 1.5× 2.3k 2.0× 1.2k 1.3× 523 0.7× 89 7.5k
Vicki Vance United States 33 4.3k 0.8× 2.3k 1.2× 1.1k 0.9× 613 0.7× 618 0.8× 40 5.1k
Andrew O. Jackson United States 41 4.4k 0.8× 1.6k 0.8× 1.3k 1.2× 796 0.9× 852 1.1× 94 4.9k
Peter Markham United Kingdom 40 5.5k 1.1× 1.0k 0.5× 1.5k 1.3× 2.8k 3.0× 359 0.5× 97 6.1k
Bryce W. Falk United States 36 3.8k 0.7× 1.1k 0.6× 1.1k 1.0× 2.0k 2.2× 432 0.6× 121 4.4k
Jean‐François Laliberté Canada 36 3.2k 0.6× 1.3k 0.7× 838 0.7× 410 0.4× 339 0.4× 68 4.0k
Peter Palukaitis United States 49 8.5k 1.7× 1.7k 0.9× 3.1k 2.7× 1.4k 1.5× 1.2k 1.6× 173 8.8k
R. H. A. Coutts United Kingdom 36 3.8k 0.7× 977 0.5× 2.0k 1.8× 552 0.6× 431 0.5× 180 4.2k
R. M. Harding Australia 34 2.7k 0.5× 1.3k 0.7× 529 0.5× 421 0.5× 452 0.6× 112 3.1k
Drake C. Stenger United States 38 3.6k 0.7× 589 0.3× 1.3k 1.2× 1.1k 1.2× 244 0.3× 95 3.8k

Countries citing papers authored by David M. Bisaro

Since Specialization
Citations

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

Fields of papers citing papers by David M. Bisaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Bisaro

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Bisaro. A scholar is included among the top collaborators of David M. Bisaro 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 David M. Bisaro. David M. Bisaro 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.
2.
Mohannath, Gireesha, et al.. (2019). Phosphorylation of Arabidopsis eIF 4E and eIF iso4E by Sn RK 1 inhibits translation. FEBS Journal. 286(19). 3778–3796. 31 indexed citations
3.
Wu, Jian, Neocles B. Leontis, Craig L. Zirbel, David M. Bisaro, & Biao Ding. (2019). A three-dimensional RNA motif mediates directional trafficking of Potato spindle tuber viroid from epidermal to palisade mesophyll cells in Nicotiana benthamiana. PLoS Pathogens. 15(10). e1008147–e1008147. 29 indexed citations
4.
Li, Fangfang, Xiuling Yang, David M. Bisaro, & Xueping Zhou. (2018). The βC1 Protein of Geminivirus–Betasatellite Complexes: A Target and Repressor of Host Defenses. Molecular Plant. 11(12). 1424–1426. 49 indexed citations
5.
Mohannath, Gireesha, et al.. (2014). A Complex Containing SNF1-Related Kinase (SnRK1) and Adenosine Kinase in Arabidopsis. PLoS ONE. 9(1). e87592–e87592. 35 indexed citations
6.
Cañizares, M. Carmen, Rosa Lozano‐Durán, Tomás Canto, et al.. (2013). Effects of the Crinivirus Coat Protein–Interacting Plant Protein SAHH on Post-Transcriptional RNA Silencing and Its Suppression. Molecular Plant-Microbe Interactions. 26(9). 1004–1015. 39 indexed citations
7.
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
8.
Raja, Priya, et al.. (2010). RNA silencing directed against geminiviruses: Post-transcriptional and epigenetic components. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1799(3-4). 337–351. 107 indexed citations
9.
Yang, Xiaojuan, Surendranath Baliji, Rainer Buchmann, et al.. (2007). Functional Modulation of the Geminivirus AL2 Transcription Factor and Silencing Suppressor by Self-Interaction. Journal of Virology. 81(21). 11972–11981. 99 indexed citations
10.
Bisaro, David M.. (2005). Silencing suppression by geminivirus proteins. Virology. 344(1). 158–168. 175 indexed citations
11.
Redinbaugh, Margaret G., et al.. (2001). Transmission of viral RNA and DNA to maize kernels by vascular puncture inoculation. Journal of Virological Methods. 98(2). 135–143. 29 indexed citations
12.
13.
Sunter, Garry & David M. Bisaro. (1997). Regulation of a Geminivirus Coat Protein Promoter by AL2 Protein (TrAP): Evidence for Activation and Derepression Mechanisms. Virology. 232(2). 269–280. 98 indexed citations
14.
Bisaro, David M.. (1996). 30 Geminivirus DNA Replication. Cold Spring Harbor Monograph Archive. 31. 833–854. 28 indexed citations
15.
Stenger, Drake C., Keith Davis, & David M. Bisaro. (1994). Recombinant Beet Curly Top Virus Genomes Exhibit Both Parental and Novel Pathogenic Phenotypes. Virology. 200(2). 677–685. 27 indexed citations
16.
Brough, Clare L., Garry Sunter, William E. Gardiner, & David M. Bisaro. (1992). Kinetics of tomato golden mosaic virus DNA replication and coat protein promoter activity in nicotiana tabacum protoplasts. Virology. 187(1). 1–9. 41 indexed citations
17.
Brough, Clare L., William E. Gardiner, Nilufar M. Inamdar, et al.. (1992). DNA methylation inhibits propagation of tomato golden mosaic virus DNA in transfected protoplasts. Plant Molecular Biology. 18(4). 703–712. 75 indexed citations
18.
Stenger, Drake C., et al.. (1991). Comparison of the capsid protein cistron cp from two serologically distinct strains of sweetpotato feathery mottle virus spfmv. Phytopathology. 81(10). 1184. 2 indexed citations
19.
Sunter, Garry, William E. Gardiner, & David M. Bisaro. (1989). Identification of tomato golden mosaic virus-specific RNAs in infected plants. Virology. 170(1). 243–250. 46 indexed citations
20.
Sunter, Garry, William E. Gardiner, Ann E. Rushing, Stephen G. Rogers, & David M. Bisaro. (1987). Independent encapsidation of tomato golden mosaic virus A component DNA in transgenic plants. Plant Molecular Biology. 8(6). 477–484. 49 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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