Keith Saunders

5.9k total citations · 1 hit paper
62 papers, 4.5k citations indexed

About

Keith Saunders is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Keith Saunders has authored 62 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 24 papers in Molecular Biology and 14 papers in Ecology. Recurrent topics in Keith Saunders's work include Plant Virus Research Studies (48 papers), Bacteriophages and microbial interactions (14 papers) and Plant and Fungal Interactions Research (12 papers). Keith Saunders is often cited by papers focused on Plant Virus Research Studies (48 papers), Bacteriophages and microbial interactions (14 papers) and Plant and Fungal Interactions Research (12 papers). Keith Saunders collaborates with scholars based in United Kingdom, United States and Australia. Keith Saunders's co-authors include John Stanley, Ian Bedford, R. W. Briddon, Peter Markham, George P. Lomonossoff, Marion S. Pinner, Andrew P. Lucy, Karen‐Beth G. Scholthof, Thierry Candresse and Peter Palukaitis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Keith Saunders

61 papers receiving 4.3k citations

Hit Papers

Top 10 plant viruses in m... 2011 2026 2016 2021 2011 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Top 10 plant viruses in molecular plant pathology
    2011 861 citations Karen‐Beth G. Scholthof, Keith Saunders et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Keith Saunders 3.8k 1.1k 1.0k 809 559 62 4.5k
Jeanmarie Verchot 3.2k 0.9× 1.0k 0.9× 832 0.8× 422 0.5× 639 1.1× 86 3.7k
József Burgyán 6.3k 1.7× 2.8k 2.6× 2.3k 2.3× 1.2k 1.5× 523 0.9× 89 7.5k
R. H. A. Coutts 3.8k 1.0× 977 0.9× 2.0k 2.0× 552 0.7× 431 0.8× 180 4.2k
Bryce W. Falk 3.8k 1.0× 1.1k 1.1× 1.1k 1.1× 2.0k 2.5× 432 0.8× 121 4.4k
Peter Palukaitis 8.5k 2.3× 1.7k 1.5× 3.1k 3.1× 1.4k 1.7× 1.2k 2.2× 173 8.8k
G. Jonard 3.8k 1.0× 1.2k 1.1× 1.4k 1.3× 698 0.9× 637 1.1× 88 4.1k
W. Allen Miller 4.9k 1.3× 2.2k 2.0× 1.7k 1.7× 1.3k 1.7× 408 0.7× 121 6.3k
Juan José López‐Moya 3.0k 0.8× 684 0.6× 1.1k 1.1× 938 1.2× 351 0.6× 56 3.2k
J. S. Semancik 2.8k 0.7× 1.1k 1.0× 1.5k 1.5× 557 0.7× 109 0.2× 135 3.2k
J.G. Atabekov 4.0k 1.1× 1.4k 1.3× 1.0k 1.0× 293 0.4× 1.2k 2.1× 167 4.8k

Countries citing papers authored by Keith Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Keith Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Saunders

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Saunders. A scholar is included among the top collaborators of Keith Saunders 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 Keith Saunders. Keith Saunders 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.
Peyret, Hadrien, et al.. (2025). Nicotiana benthamiana as a Source of Cowpea Mosaic Virus‐Derived Particles That Specifically Package Designer RNAs. Plant Biotechnology Journal. 24(1). 159–170.
2.
Peyret, Hadrien, et al.. (2025). How do RNA viruses select which RNA to package? The plant virus experience. Virology. 604. 110435–110435. 2 indexed citations
3.
Martin, Heather L., Anna A. Tang, Christian Tiede, et al.. (2024). Affimer reagents enable targeted delivery of therapeutic agents and RNA via virus-like particles. iScience. 27(8). 110461–110461. 1 indexed citations
4.
5.
Saunders, Keith, et al.. (2022). Designer-length palladium nanowires can be templated by the central channel of tobacco mosaic virus nanorods. Virology. 577. 155–162. 2 indexed citations
6.
Jaafar, Fauziah Mohd, Carrie Batten, Houssam Attoui, et al.. (2021). Serological Cross-Reactions between Expressed VP2 Proteins from Different Bluetongue Virus Serotypes. Viruses. 13(8). 1455–1455. 15 indexed citations
7.
Thuenemann, Eva C., Matthew J. Byrne, Hadrien Peyret, et al.. (2021). A Replicating Viral Vector Greatly Enhances Accumulation of Helical Virus-Like Particles in Plants. Viruses. 13(5). 885–885. 19 indexed citations
8.
Behrens, Sabine, Celia C. LaBranche, Taicheng Zhou, et al.. (2018). Germline-targeting and Reverse Engineering to Elicit CH235.12 Lineage bNAbs. AIDS Research and Human Retroviruses. 34. 116–116. 1 indexed citations
9.
Saxena, Pooja, Yi‐Cheng Hsieh, Veria Y. Alvarado, et al.. (2010). Improved foreign gene expression in plants using a virus‐encoded suppressor of RNA silencing modified to be developmentally harmless. Plant Biotechnology Journal. 9(6). 703–712. 51 indexed citations
10.
Saunders, Keith, Frank Sainsbury, & George P. Lomonossoff. (2009). Efficient generation of cowpea mosaicvirus empty virus-like particles by the proteolytic processing of precursors in insect cells and plants. Virology. 393(2). 329–337. 102 indexed citations
11.
12.
Saunders, Keith, et al.. (2004). The DNA β satellite component associated with ageratum yellow vein disease encodes an essential pathogenicity protein (βC1). Virology. 324(1). 37–47. 173 indexed citations
13.
14.
Briddon, R. W., Shahid Mansoor, Ian Bedford, et al.. (2001). Identification of DNA Components Required for Induction of Cotton Leaf Curl Disease. Virology. 285(2). 234–243. 395 indexed citations
15.
Saunders, Keith, Ian Bedford, & John R. Stanley. (2001). Pathogenicity of a Natural Recombinant Associated with Ageratum Yellow Vein Disease: Implications for Geminivirus Evolution and Disease Aetiology. Virology. 282(1). 38–47. 75 indexed citations
16.
17.
Hong, Yiguo, Keith Saunders, & John Stanley. (1997). Transactivation of Dianthin Transgene Expression by African Cassava Mosaic Virus AC2. Virology. 228(2). 383–387. 35 indexed citations
18.
Stanley, John, Keith Saunders, Marion S. Pinner, & Sek Man Wong. (1997). Novel Defective Interfering DNAs Associated with Ageratum Yellow Vein Geminivirus Infection ofAgeratum conyzoides. Virology. 239(1). 87–96. 61 indexed citations
19.
Hong, Yiguo, Keith Saunders, Martin R. Hartley, & John Stanley. (1996). Resistance to Geminivirus Infection by Virus-Induced Expression of Dianthin in Transgenic Plants. Virology. 220(1). 119–127. 108 indexed citations
20.
Saunders, Keith, et al.. (1992). Nucleotide sequence of canine c-N-ras: Codons 1 to 71. American Journal of Veterinary Research. 53(4). 600–603. 18 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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