Silvio Salvi

12.4k total citations
87 papers, 4.4k citations indexed

About

Silvio Salvi is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Silvio Salvi has authored 87 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Plant Science, 45 papers in Genetics and 17 papers in Molecular Biology. Recurrent topics in Silvio Salvi's work include Genetic Mapping and Diversity in Plants and Animals (42 papers), Wheat and Barley Genetics and Pathology (25 papers) and Genetics and Plant Breeding (22 papers). Silvio Salvi is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (42 papers), Wheat and Barley Genetics and Pathology (25 papers) and Genetics and Plant Breeding (22 papers). Silvio Salvi collaborates with scholars based in Italy, United States and Germany. Silvio Salvi's co-authors include Roberto Tuberosa, Maria Corinna Sanguineti, Pierangelo Landi, Marco Maccaferri, Silvia Giuliani, Sergio Conti, Massimo Bellotti, Marcella Michela Giuliani, Riccardo Velasco and Sara Castelletti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Silvio Salvi

85 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvio Salvi Italy 36 4.1k 1.9k 821 698 137 87 4.4k
Klaus Pillen Germany 38 4.5k 1.1× 2.1k 1.1× 691 0.8× 653 0.9× 107 0.8× 140 4.8k
Emma Mace Australia 36 3.1k 0.8× 1.7k 0.9× 660 0.8× 1.1k 1.6× 110 0.8× 107 3.9k
Ruilian Jing China 43 5.1k 1.2× 1.4k 0.7× 1.3k 1.6× 1.0k 1.4× 115 0.8× 154 5.4k
Lee T. Hickey Australia 33 3.3k 0.8× 1.0k 0.5× 629 0.8× 525 0.8× 131 1.0× 105 3.5k
Kulvinder S. Gill United States 37 4.0k 1.0× 1.5k 0.8× 941 1.1× 480 0.7× 91 0.7× 112 4.4k
L. E. Talbert United States 39 3.7k 0.9× 1.1k 0.6× 558 0.7× 924 1.3× 52 0.4× 125 4.1k
Wolfgang Spielmeyer Australia 41 8.0k 1.9× 2.1k 1.1× 1.7k 2.0× 1.3k 1.9× 229 1.7× 69 8.2k
Manje Gowda Kenya 36 4.1k 1.0× 2.7k 1.4× 511 0.6× 604 0.9× 78 0.6× 96 4.5k
Raman Babu Mexico 30 3.4k 0.8× 2.3k 1.2× 547 0.7× 395 0.6× 60 0.4× 52 3.9k
Assaf Distelfeld Israel 35 5.1k 1.2× 1.3k 0.7× 1.2k 1.4× 1.1k 1.5× 57 0.4× 65 5.3k

Countries citing papers authored by Silvio Salvi

Since Specialization
Citations

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

Fields of papers citing papers by Silvio Salvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvio Salvi

This figure shows the co-authorship network connecting the top 25 collaborators of Silvio Salvi. A scholar is included among the top collaborators of Silvio Salvi 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 Silvio Salvi. Silvio Salvi 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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2.
Righi, Adne Abbud, Matteo Bettuzzi, John Koestel, et al.. (2025). Root traits of different wheat cultivars influence soil structure: an X-ray computed tomography and root morphology study. Geoderma. 459. 117349–117349. 2 indexed citations
3.
Tadini, Luca, Peter Jahns, Menachem Moshelion, et al.. (2024). A missense mutation in the barley Xan-h gene encoding the Mg-chelatase subunit I leads to a viable pale green line with reduced daily transpiration rate. Plant Cell Reports. 43(10). 246–246. 1 indexed citations
4.
Kirschner, Gwendolyn K., Frank Hochholdinger, Silvio Salvi, et al.. (2024). Genetic regulation of the root angle in cereals. Trends in Plant Science. 29(7). 814–822. 13 indexed citations
5.
Milner, Sara G., Riccardo Bovina, Brian S. Atkinson, et al.. (2024). The auxin efflux carrier PIN1a regulates vascular patterning in cereal roots. New Phytologist. 244(1). 104–115. 5 indexed citations
6.
Guo, Li, et al.. (2023). ENHANCED GRAVITROPISM 2 coordinates molecular adaptations to gravistimulation in the elongation zone of barley roots. New Phytologist. 237(6). 2196–2209. 5 indexed citations
7.
Bethke, Gerit, Göetz Hensel, Shane Heinen, et al.. (2023). UDP-glucosyltransferase HvUGT13248 confers type II resistance to Fusarium graminearum in barley. PLANT PHYSIOLOGY. 193(4). 2691–2710. 4 indexed citations
8.
Moscou, Matthew, Francesco Musiani, Cristian Forestan, et al.. (2022). Cloning the barley nec3 disease lesion mimic mutant using complementation by sequencing. The Plant Genome. 15(2). e20187–e20187. 3 indexed citations
9.
Trebbi, Daniele, et al.. (2017). In vitro physical mutagenesis of giant reed (Arundo donax L.). GCB Bioenergy. 9(8). 1380–1389. 14 indexed citations
10.
Emanuelli, Francesco, Linda Zamariola, Silvia Giuliani, et al.. (2017). Cloning of Vgt3, a major QTL for flowering time in maize. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 37–37. 1 indexed citations
11.
Soriano, José Miguel, et al.. (2014). QTL meta-analysis for phenology and yield in maize: a possible link?. 1 indexed citations
12.
Trebbi, Daniele, Marco Maccaferri, A. Sørensen, et al.. (2011). High-throughput SNP discovery and genotyping in durum wheat (Triticum durum Desf.). Theoretical and Applied Genetics. 123(4). 555–569. 87 indexed citations
13.
Salvi, Silvio, Sara Castelletti, & Roberto Tuberosa. (2009). An updated consensus map for flowering time QTLS in maize. Maydica. 54(4). 501–512. 31 indexed citations
14.
Talamé, Valentina, Riccardo Bovina, Silvio Salvi, et al.. (2008). TILLING with TILLMore. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 240–242. 1 indexed citations
15.
Salvi, Silvio, G. Sponza, Michele Morgante, et al.. (2007). Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize. Proceedings of the National Academy of Sciences. 104(27). 11376–11381. 437 indexed citations
16.
Salvi, Silvio, et al.. (2006). Genetic relationships among cimmyt subtropical QPM and Chinese maize inbred lines based on SSRS. Maydica. 51. 543–549. 6 indexed citations
17.
Tuberosa, Roberto, Elisabetta Frascaroli, Silvio Salvi, et al.. (2005). QTLs for tolerance to abiotic stresses in maize: present status and prospects. Maydica. 50. 559–569. 8 indexed citations
18.
Giuliani, Silvia, Maria Corinna Sanguineti, Roberto Tuberosa, et al.. (2005). Root-ABA1, a major constitutive QTL, affects maize root architecture and leaf ABA concentration at different water regimes. Journal of Experimental Botany. 56(422). 3061–3070. 119 indexed citations
19.
Landi, Pierangelo, M. C. Sanguineti, L. L. Darrah, et al.. (2002). Detection of QTLs for vertical root pulling resistance in maize and overlap with QTLs for root traits in hydroponics and for grain yield under different water regimes.. Institutional Research Information System University of Ferrara (University of Ferrara). 23 indexed citations
20.
Sanguineti, M.C., et al.. (1999). QTL analysis of drought-related traits and grain yield in relation to genetic variation for leaf abscisic acid concentration in field-grown maize. Journal of Experimental Botany. 50(337). 1289–1297. 73 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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