Boris A. Vinatzer

6.2k total citations
105 papers, 4.4k citations indexed

About

Boris A. Vinatzer is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Boris A. Vinatzer has authored 105 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Plant Science, 24 papers in Cell Biology and 17 papers in Molecular Biology. Recurrent topics in Boris A. Vinatzer's work include Plant Pathogenic Bacteria Studies (67 papers), Plant-Microbe Interactions and Immunity (61 papers) and Plant Pathogens and Fungal Diseases (24 papers). Boris A. Vinatzer is often cited by papers focused on Plant Pathogenic Bacteria Studies (67 papers), Plant-Microbe Interactions and Immunity (61 papers) and Plant Pathogens and Fungal Diseases (24 papers). Boris A. Vinatzer collaborates with scholars based in United States, France and Italy. Boris A. Vinatzer's co-authors include Jean T. Greenberg, Christopher R. Clarke, David S. Guttman, Joanna Jeleńska, Shuangchun Yan, Cindy E. Morris, Rongman Cai, Caroline Monteil, Stefano Tartarini and Luca Gianfranceschi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Boris A. Vinatzer

103 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris A. Vinatzer United States 34 3.7k 1.0k 747 315 294 105 4.4k
Tor Carlsen Norway 23 1.9k 0.5× 1.1k 1.0× 829 1.1× 809 2.6× 854 2.9× 37 2.9k
Bruce D.L. Fitt United Kingdom 46 7.0k 1.9× 3.3k 3.2× 960 1.3× 1.1k 3.4× 495 1.7× 350 7.9k
Mogens S. Hovmøller Denmark 32 4.6k 1.2× 664 0.6× 1.9k 2.5× 256 0.8× 193 0.7× 104 5.1k
Cécile Gueidan United Kingdom 27 2.1k 0.6× 1.8k 1.8× 549 0.7× 1.4k 4.5× 307 1.0× 66 3.1k
Martin Unterseher Germany 26 1.5k 0.4× 1.0k 1.0× 487 0.7× 714 2.3× 393 1.3× 43 2.1k
François Delmotte France 32 2.3k 0.6× 1.0k 1.0× 787 1.1× 818 2.6× 297 1.0× 74 3.5k
M. W. Shaw United Kingdom 40 4.0k 1.1× 1.2k 1.2× 801 1.1× 1.3k 4.2× 440 1.5× 174 5.2k
Martha Christensen United States 31 2.4k 0.6× 1.2k 1.2× 460 0.6× 822 2.6× 354 1.2× 70 3.5k
Joan M. Henson United States 22 2.3k 0.6× 1.4k 1.4× 749 1.0× 678 2.2× 252 0.9× 41 3.2k
Gloria Scorzetti United States 25 1.3k 0.3× 1.2k 1.2× 1.7k 2.2× 194 0.6× 399 1.4× 38 2.7k

Countries citing papers authored by Boris A. Vinatzer

Since Specialization
Citations

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

Fields of papers citing papers by Boris A. Vinatzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boris A. Vinatzer. 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 Boris A. Vinatzer. The network helps show where Boris A. Vinatzer may publish in the future.

Co-authorship network of co-authors of Boris A. Vinatzer

This figure shows the co-authorship network connecting the top 25 collaborators of Boris A. Vinatzer. A scholar is included among the top collaborators of Boris A. Vinatzer 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 Boris A. Vinatzer. Boris A. Vinatzer 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
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Miądlikowska, Jolanta, et al.. (2025). Peltigera lichen thalli produce highly potent ice-nucleating agents. Biogeosciences. 22(8). 2087–2096. 1 indexed citations
3.
Bush, Elizabeth, Haijie Liu, Parul Sharma, et al.. (2023). A Survey of Xylella fastidiosa in the U.S. State of Virginia Reveals Wide Distribution of Both Subspecies fastidiosa and multiplex in Grapevine. Phytopathology. 114(1). 35–46. 4 indexed citations
4.
Vinatzer, Boris A., et al.. (2023). Reference-Free Plant Disease Detection Using Machine Learning and Long-Read Metagenomic Sequencing. Applied and Environmental Microbiology. 89(6). e0026023–e0026023. 7 indexed citations
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Tian, Long, Parul Sharma, Vivian Bernal‐Galeano, et al.. (2021). Experimental Evidence Pointing to Rain as a Reservoir of Tomato Phyllosphere Microbiota. Phytobiomes Journal. 5(4). 382–399. 22 indexed citations
7.
Tian, Long, Reza Mazloom, Lenwood S. Heath, & Boris A. Vinatzer. (2021). LINflow: a computational pipeline that combines an alignment-free with an alignment-based method to accelerate generation of similarity matrices for prokaryotic genomes. PeerJ. 9. e10906–e10906. 5 indexed citations
8.
Liu, Haijie, Sophie Leblanc, Parul Sharma, et al.. (2021). Ice nucleation in a Gram-positive bacterium isolated from precipitation depends on a polyketide synthase and non-ribosomal peptide synthetase. The ISME Journal. 16(3). 890–897. 8 indexed citations
9.
Román-Reyna, Verónica, Parul Sharma, Francesca Peduto Hand, et al.. (2020). Genome Resource: Ralstonia solanacearum Phylotype II Sequevar 1 (Race 3 Biovar 2) Strain UW848 From the 2020 U.S. Geranium Introduction. Plant Disease. 105(1). 207–208. 7 indexed citations
10.
Sharma, Parul, Long Tian, Chenjie Huang, et al.. (2019). Strain-Level Identification of Bacterial Tomato Pathogens Directly from Metagenomic Sequences. Phytopathology. 110(4). 768–779. 23 indexed citations
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Hind, Sarah R., Susan R. Strickler, Diane Dunham, et al.. (2016). Tomato receptor FLAGELLIN-SENSING 3 binds flgII-28 and activates the plant immune system. Nature Plants. 2(9). 16128–16128. 144 indexed citations
14.
Clarke, Christopher R., Byron W. Hayes, Brendan J. Runde, et al.. (2016). Comparative genomics of Pseudomonas syringae pathovar tomato reveals novel chemotaxis pathways associated with motility and plant pathogenicity. PeerJ. 4. e2570–e2570. 20 indexed citations
15.
Clarke, Christopher R., Byron W. Hayes, Brendan J. Runde, Emmanuel Wicker, & Boris A. Vinatzer. (2014). Eggplant and related species are promising genetic resources to dissect the plant immune response to P seudomonas syringae and X anthomonas euvesicatoria and to identify new resistance determinants. Molecular Plant Pathology. 15(8). 814–822. 6 indexed citations
16.
Potnis, Neha, Ksenia V. Krasileva, Nalvo F. Almeida, et al.. (2011). Comparative genomics reveals diversity among xanthomonads infecting tomato and pepper. BMC Genomics. 12(1). 146–146. 149 indexed citations
17.
Jeleńska, Joanna, Nan Yao, Boris A. Vinatzer, et al.. (2007). A J Domain Virulence Effector of Pseudomonas syringae Remodels Host Chloroplasts and Suppresses Defenses. Current Biology. 17(6). 499–508. 228 indexed citations
18.
Silfverberg-Dilworth, E., Stefano Tartarini, Andrea Patocchi, et al.. (2004). The HcrVf2 gene from a wild apple confers scab resistance to a transgenic cultivated variety. Proceedings of the National Academy of Sciences. 101(3). 886–890. 189 indexed citations
19.
Sansavini, S., Matteo Barbieri, Stefano Tartarini, et al.. (2004). Trasformazione genetica del melo Gala con un gene di resistenza a ticchiolatura. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 66(1). 54–58. 1 indexed citations
20.
Guttman, David S., Boris A. Vinatzer, Sara F. Sarkar, et al.. (2002). A Functional Screen for the Type III (Hrp) Secretome of the Plant Pathogen Pseudomonas syringae. Science. 295(5560). 1722–1726. 316 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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