Jean B. Ristaino

11.6k total citations · 4 hit papers
105 papers, 6.5k citations indexed

About

Jean B. Ristaino is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Jean B. Ristaino has authored 105 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Plant Science, 59 papers in Cell Biology and 23 papers in Molecular Biology. Recurrent topics in Jean B. Ristaino's work include Plant Pathogens and Resistance (77 papers), Plant Pathogens and Fungal Diseases (59 papers) and Plant Disease Resistance and Genetics (47 papers). Jean B. Ristaino is often cited by papers focused on Plant Pathogens and Resistance (77 papers), Plant Pathogens and Fungal Diseases (59 papers) and Plant Disease Resistance and Genetics (47 papers). Jean B. Ristaino collaborates with scholars based in United States, United Kingdom and Ireland. Jean B. Ristaino's co-authors include Shuijin Hu, Marcia L. Gumpertz, Amanda C. Saville, Gregory K. Evanylo, Cong Tu, Qingshan Wei, Stephen Albert Johnston, Rajesh Paul, William Thomas and Michael D. Madritch and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jean B. Ristaino

104 papers receiving 6.2k citations

Hit Papers

Organic and synthetic fertility amendments influence soil... 2002 2026 2010 2018 2002 2011 2021 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean B. Ristaino United States 41 5.0k 2.3k 1.3k 772 526 105 6.5k
Christian Steinberg France 47 5.7k 1.2× 2.6k 1.1× 998 0.8× 876 1.1× 248 0.5× 171 7.7k
Linda S. Thomashow United States 57 8.4k 1.7× 1.7k 0.7× 4.1k 3.2× 530 0.7× 278 0.5× 138 12.1k
Yangchun Xu China 45 4.2k 0.8× 669 0.3× 1.2k 1.0× 1.3k 1.7× 462 0.9× 116 6.5k
Petr Karlovský Germany 51 5.7k 1.1× 1.9k 0.8× 1.7k 1.3× 251 0.3× 223 0.4× 162 7.7k
Ching‐Hong Yang United States 37 2.9k 0.6× 444 0.2× 1.1k 0.9× 521 0.7× 259 0.5× 100 4.9k
Choong‐Min Ryu South Korea 61 11.9k 2.4× 1.5k 0.7× 4.1k 3.2× 401 0.5× 727 1.4× 227 14.9k
John M. Whipps United Kingdom 47 7.6k 1.5× 2.4k 1.0× 1.6k 1.2× 1.1k 1.4× 220 0.4× 174 9.3k
Jan E. Leach United States 61 11.6k 2.3× 1.8k 0.8× 3.5k 2.8× 399 0.5× 388 0.7× 183 13.6k
Stijn Spaepen Belgium 30 6.4k 1.3× 741 0.3× 2.1k 1.7× 525 0.7× 223 0.4× 52 8.0k
Erich-Christian Oerke Germany 33 6.9k 1.4× 1.0k 0.5× 1.2k 0.9× 273 0.4× 275 0.5× 100 9.2k

Countries citing papers authored by Jean B. Ristaino

Since Specialization
Citations

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

Fields of papers citing papers by Jean B. Ristaino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean B. Ristaino. 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 Jean B. Ristaino. The network helps show where Jean B. Ristaino may publish in the future.

Co-authorship network of co-authors of Jean B. Ristaino

This figure shows the co-authorship network connecting the top 25 collaborators of Jean B. Ristaino. A scholar is included among the top collaborators of Jean B. Ristaino 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 Jean B. Ristaino. Jean B. Ristaino 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.
Saville, Amanda C., et al.. (2025). A pangenome analysis reveals the center of origin and evolutionary history of Phytophthora infestans and 1c clade species. PLoS ONE. 20(1). e0314509–e0314509. 3 indexed citations
2.
Li, Mingzhuo, Qirui Cui, Tsung‐Cheng Hsieh, et al.. (2025). Non‐destructive seed genotyping via microneedle‐based DNA extraction. Plant Biotechnology Journal. 23(6). 2317–2329. 1 indexed citations
3.
Wang, Yan, et al.. (2025). Smartphone-Based Colorimetric VOC Sensor for Early Detection of Phytophthora Ramorum in Rhododendrons. ACS Sensors. 11(1). 257–269. 1 indexed citations
6.
Shymanovich, Tatsiana, Amanda C. Saville, Rajesh Paul, Qingshan Wei, & Jean B. Ristaino. (2024). Rapid Detection of Viral, Bacterial, Fungal, and Oomycete Pathogens on Tomatoes with Microneedles, LAMP on a Microfluidic Chip, and Smartphone Device. Phytopathology. 114(8). 1975–1983. 5 indexed citations
7.
Shymanovich, Tatsiana, Amanda C. Saville, Noor Mohammad, et al.. (2024). Disease Progress and Detection of a California Resistance-Breaking Strain of Tomato Spotted Wilt Virus in Tomato with LAMP and CRISPR-Cas12a Assays. SHILAP Revista de lepidopterología. 4(1). 50–60. 6 indexed citations
8.
Lee, Giwon, Oindrila Hossain, Yuxuan Liu, et al.. (2023). Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring. Science Advances. 9(15). eade2232–eade2232. 110 indexed citations breakdown →
9.
Saville, Amanda C., et al.. (2023). Evaluation of a Formulation of Bacillus subtilis for Control of Phytophthora Blight of Bell Pepper. Plant Disease. 108(4). 1014–1024. 4 indexed citations
10.
Saville, Amanda C., Federico La Spada, Roberto Faedda, et al.. (2021). Population structure of Phytophthora infestans collected on potato and tomato in Italy. Plant Pathology. 70(9). 2165–2178. 9 indexed citations
11.
Paul, Rajesh, Yuting Chen, Amanda C. Saville, et al.. (2021). Integrated microneedle-smartphone nucleic acid amplification platform for in-field diagnosis of plant diseases. Biosensors and Bioelectronics. 187. 113312–113312. 65 indexed citations
12.
Ristaino, Jean B., Pamela K. Anderson, Daniel P. Bebber, et al.. (2021). The persistent threat of emerging plant disease pandemics to global food security. Proceedings of the National Academy of Sciences. 118(23). 446 indexed citations breakdown →
13.
Paul, Rajesh, Amanda C. Saville, Yanqi Ye, et al.. (2019). Extraction of Plant DNA by Microneedle Patch for Rapid Detection of Plant Diseases. ACS Nano. 13(6). 6540–6549. 138 indexed citations
14.
Li, Zheng, Rajesh Paul, Amanda C. Saville, et al.. (2019). Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles. Nature Plants. 5(8). 856–866. 227 indexed citations
15.
Martin, Michael D., Enrico Cappellini, José Alfredo Samaniego Castruita, et al.. (2013). Reconstructing genome evolution in historic samples of the Irish potato famine pathogen. Nature Communications. 4(1). 2172–2172. 92 indexed citations
16.
17.
Liu, Bo, Cong Tu, Shuijin Hu, Marcia L. Gumpertz, & Jean B. Ristaino. (2007). Effect of organic, sustainable, and conventional management strategies in grower fields on soil physical, chemical, and biological factors and the incidence of Southern blight. Applied Soil Ecology. 37(3). 202–214. 115 indexed citations
18.
Ristaino, Jean B., et al.. (2001). PCR amplification of the Irish potato famine pathogen from historic specimens. Nature. 411(6838). 695–697. 166 indexed citations
20.
Ristaino, Jean B., et al.. (1997). Rapid Detection of Phytophthora infestans in Late Blight-Infected Potato and Tomato Using PCR. Plant Disease. 81(9). 1042–1048. 97 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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