P. Donini

2.7k total citations
37 papers, 2.0k citations indexed

About

P. Donini is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, P. Donini has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 16 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in P. Donini's work include Wheat and Barley Genetics and Pathology (16 papers), Genetic diversity and population structure (14 papers) and Plant Disease Resistance and Genetics (10 papers). P. Donini is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Genetic diversity and population structure (14 papers) and Plant Disease Resistance and Genetics (10 papers). P. Donini collaborates with scholars based in United Kingdom, Italy and Switzerland. P. Donini's co-authors include R. M. D. Koebner, Richard J. Cooke, J. C. Reeves, Elena Chiapparino, Carla Ceoloni, Roberto Tuberosa, Fiona Leigh, M.C. Sanguineti, Marco Maccaferri and R. van der Hoeven and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Trends in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

P. Donini

36 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Donini United Kingdom 26 1.6k 756 524 110 110 37 2.0k
Sergio G. Atienza Spain 23 1.3k 0.8× 340 0.4× 571 1.1× 93 0.8× 172 1.6× 78 1.8k
A. Ordás Spain 27 2.1k 1.3× 792 1.0× 848 1.6× 107 1.0× 96 0.9× 127 2.5k
Concetta Lotti Italy 26 1.5k 1.0× 349 0.5× 377 0.7× 153 1.4× 51 0.5× 56 1.8k
Rajwant K. Kalia India 18 1.4k 0.9× 352 0.5× 864 1.6× 140 1.3× 25 0.2× 39 1.9k
Francesco Sunseri Italy 28 1.6k 1.0× 201 0.3× 528 1.0× 287 2.6× 43 0.4× 91 1.9k
Ainong Shi United States 28 2.4k 1.5× 315 0.4× 320 0.6× 115 1.0× 21 0.2× 157 2.6k
Sarla Neelamraju India 27 2.3k 1.4× 851 1.1× 535 1.0× 105 1.0× 11 0.1× 79 2.5k
José Lima‐Brito Portugal 18 716 0.4× 238 0.3× 256 0.5× 91 0.8× 79 0.7× 72 945
P. B. E. McVetty Canada 27 1.7k 1.1× 312 0.4× 1.3k 2.5× 58 0.5× 26 0.2× 110 2.3k
Sanjay Kalia India 13 964 0.6× 384 0.5× 412 0.8× 93 0.8× 33 0.3× 32 1.3k

Countries citing papers authored by P. Donini

Since Specialization
Citations

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

Fields of papers citing papers by P. Donini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Donini

This figure shows the co-authorship network connecting the top 25 collaborators of P. Donini. A scholar is included among the top collaborators of P. Donini 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 P. Donini. P. Donini 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.
Fricano, Agostino, Nicolas Bakaher, Marcello Del Corvo, et al.. (2012). Molecular diversity, population structure, and linkage disequilibrium in a worldwide collection of tobacco (Nicotiana tabacum L.) germplasm. BMC Genetics. 13(1). 18–18. 35 indexed citations
2.
Plieske, Jörg, Nicolas Bakaher, Irfan Gunduz, et al.. (2011). A high density genetic map of tobacco (Nicotiana tabacum L.) obtained from large scale microsatellite marker development. Theoretical and Applied Genetics. 123(2). 219–230. 108 indexed citations
3.
Ceoloni, Carla, et al.. (2008). Locating the alien chromatin segment in common wheat-Aegilops longissima mildew resistant transfers. Hereditas. 116. 239–245. 17 indexed citations
4.
Ceoloni, Carla, et al.. (2008). Locating the alien chromatin segment in common wheat-Aegilops longissima mildew resistant transfers. Hereditas. 116(3). 239–245. 25 indexed citations
5.
Cockram, James, Elena Chiapparino, Scott A. Taylor, et al.. (2007). Haplotype analysis of vernalization loci in European barley germplasm reveals novel VRN-H1 alleles and a predominant winter VRN-H1/VRN-H2 multi-locus haplotype. Theoretical and Applied Genetics. 115(7). 993–1001. 94 indexed citations
6.
Hoeven, R. van der, Irfan Gunduz, Jörg Plieske, et al.. (2006). A microsatellite marker based linkage map of tobacco. Theoretical and Applied Genetics. 114(2). 341–349. 96 indexed citations
7.
Acquadro, Alberto, Ezio Portis, David Lee, P. Donini, & Sergio Lanteri. (2005). Development and characterization of microsatellite markers inCynara cardunculusL.. Genome. 48(2). 217–225. 51 indexed citations
8.
Venturi, S., Luca Dondini, P. Donini, & S. Sansavini. (2005). Retrotransposon characterisation and fingerprinting of apple clones by S-SAP markers. Theoretical and Applied Genetics. 112(3). 440–444. 60 indexed citations
9.
Taylor, Emily, et al.. (2005). DNA Extraction and Analysis from Processed Coffee Beans. Journal of Agricultural and Food Chemistry. 53(22). 8432–8436. 33 indexed citations
10.
Chiapparino, Elena, et al.. (2004). Genotyping single nucleotide polymorphisms in barley by tetra-primer ARMS–PCR. Genome. 47(2). 414–420. 49 indexed citations
11.
Batley, Jacqueline, G. M. Arnold, Richard J. Cooke, et al.. (2003). The development of multiplex simple sequence repeat (SSR) markers to complement distinctness, uniformity and stability testing of rape (Brassica napus L.) varieties. Theoretical and Applied Genetics. 106(6). 1091–1101. 86 indexed citations
12.
Maccaferri, Marco, M.C. Sanguineti, P. Donini, & Roberto Tuberosa. (2003). Microsatellite analysis reveals a progressive widening of the genetic basis in the elite durum wheat germplasm. Theoretical and Applied Genetics. 107(5). 783–797. 108 indexed citations
13.
Leigh, Fiona, et al.. (2003). Comparison of the utility of barley retrotransposon families for genetic analysis by molecular marker techniques. Molecular Genetics and Genomics. 269(4). 464–474. 84 indexed citations
14.
Koebner, R. M. D., et al.. (2003). Temporal flux in the morphological and molecular diversity of UK barley. Theoretical and Applied Genetics. 106(3). 550–558. 78 indexed citations
15.
Leigh, Fiona, et al.. (2003). Assessment of EST- and genomic microsatellite markers for variety discrimination and genetic diversity studies in wheat. Euphytica. 133(3). 359–366. 60 indexed citations
16.
Ridout, Christopher J., et al.. (1999). Use of AFLP in cereals research. Trends in Plant Science. 4(2). 76–79. 51 indexed citations
17.
Donini, P., Pauline Stephenson, Glenn J. Bryan, & R. M. D. Koebner. (1998). The potential of microsatellites for high throughput genetic diversity assessment in wheat and barley. Genetic Resources and Crop Evolution. 45(5). 415–421. 76 indexed citations
18.
19.
Donini, P., R. M. D. Koebner, & Carla Ceoloni. (1995). Cytogenetic and molecular mapping of the wheat-Aegilops longissima chromatin breakpoints in powdery mildew-resistant introgression lines. Theoretical and Applied Genetics. 91(5). 738–743. 41 indexed citations
20.

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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