E. Cassani

1.6k total citations
48 papers, 1.1k citations indexed

About

E. Cassani is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, E. Cassani has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 10 papers in Molecular Biology and 9 papers in Agronomy and Crop Science. Recurrent topics in E. Cassani's work include Phytase and its Applications (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Wheat and Barley Genetics and Pathology (7 papers). E. Cassani is often cited by papers focused on Phytase and its Applications (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Wheat and Barley Genetics and Pathology (7 papers). E. Cassani collaborates with scholars based in Italy, Germany and United Kingdom. E. Cassani's co-authors include Roberto Pilu, Michela Landoni, Erik Nielsen, Enrico Doria, Gianni Pezzoli, Michela Barichella, Gaetano Pierpaolo Privitera, C. Pusani, Laura Iorio and Dario Panzeri and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

E. Cassani

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Cassani Italy 19 683 297 148 139 122 48 1.1k
Κyriaki Sotirakoglou Greece 20 141 0.2× 170 0.6× 198 1.3× 206 1.5× 75 0.6× 74 1.2k
Ying Gao China 20 193 0.3× 464 1.6× 20 0.1× 66 0.5× 202 1.7× 59 1.3k
Takashi Nakajima Japan 25 1.3k 1.9× 196 0.7× 53 0.4× 131 0.9× 21 0.2× 74 1.6k
Eiko Arai Japan 15 287 0.4× 95 0.3× 10 0.1× 242 1.7× 30 0.2× 53 747
Deloy G. Hendricks United States 19 220 0.3× 188 0.6× 63 0.4× 197 1.4× 66 0.5× 56 1.1k
C. R. Dove United States 19 114 0.2× 106 0.4× 77 0.5× 62 0.4× 53 0.4× 46 980
Jan Lochman Czechia 19 386 0.6× 288 1.0× 54 0.4× 38 0.3× 52 0.4× 74 1.0k
Denise dos Santos Miron Brazil 15 707 1.0× 133 0.4× 52 0.4× 106 0.8× 29 0.2× 18 1.6k
Yongmei Zhou China 13 202 0.3× 157 0.5× 40 0.3× 32 0.2× 40 0.3× 42 633
Hiroki Matsuyama Japan 19 110 0.2× 73 0.2× 293 2.0× 84 0.6× 92 0.8× 53 691

Countries citing papers authored by E. Cassani

Since Specialization
Citations

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

Fields of papers citing papers by E. Cassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Cassani

This figure shows the co-authorship network connecting the top 25 collaborators of E. Cassani. A scholar is included among the top collaborators of E. Cassani 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 E. Cassani. E. Cassani 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.
Landoni, Michela, et al.. (2023). Opportunities and Challenges of Castor Bean (Ricinus communis L.) Genetic Improvement. Agronomy. 13(8). 2076–2076. 16 indexed citations
2.
Cassani, E., Lorenzo Castelli, Matias Pasquali, et al.. (2022). Agriculture in Marginal Areas: Reintroduction of Rye and Wheat Varieties for Breadmaking in the Antrona Valley. Agronomy. 12(7). 1695–1695. 7 indexed citations
3.
Landoni, Michela, E. Cassani, Stefano Sangiorgio, et al.. (2022). Brachytic2 mutation is able to counteract the main pleiotropic effects of brown midrib3 mutant in maize. Scientific Reports. 12(1). 2446–2446. 8 indexed citations
4.
Nisi, Patrizia De, P. Abbasi Parizad, Alessio Scarafoni, et al.. (2021). Biorefinery Approach Applied to the Valorization of Purple Corn Cobs. ACS Sustainable Chemistry & Engineering. 9(10). 3781–3791. 13 indexed citations
5.
Sangiorgio, Stefano, et al.. (2021). Arundo donax L. Biomass Production in a Polluted Area: Effects of Two Harvest Timings on Heavy Metals Uptake. Applied Sciences. 11(3). 1147–1147. 27 indexed citations
6.
Sangiorgio, Stefano, Luca Giupponi, Carlo Giovanni Ferro, et al.. (2021). The Ancient Varieties of Mountain Maize: The Inheritance of the Pointed Character and Its Effect on the Natural Drying Process. Agronomy. 11(11). 2295–2295. 6 indexed citations
7.
Landoni, Michela, E. Cassani, Luca Giupponi, et al.. (2021). Comparison among four maize varieties in conventional and low input cultivation. Maydica. 65(3). 13. 6 indexed citations
8.
Landoni, Michela, et al.. (2020). Phlobaphenes modify pericarp thickness in maize and accumulation of the fumonisin mycotoxins. Scientific Reports. 10(1). 1417–1417. 40 indexed citations
9.
Egal, Abdulkadir, E. Cassani, I. Toschi, et al.. (2018). Nutritional and phenotypical characterization of two South African maize (Zea mays L) varieties sampled in the Qwa-Qwa region. Maydica. 62(1). 10. 3 indexed citations
10.
Landoni, Michela, E. Cassani, I. Toschi, et al.. (2018). Traditional farmers' varieties: a valuable source of genetic variability for biofortification programs.. Maydica. 63(2). 10. 13 indexed citations
11.
Landoni, Michela, E. Cassani, Enrico Doria, et al.. (2015). Study and Characterization of an Ancient European Flint White Maize Rich in Anthocyanins: Millo Corvo from Galicia. PLoS ONE. 10(5). e0126521–e0126521. 31 indexed citations
12.
Landoni, Michela, et al.. (2014). Development and characterization of a coloured sweet corn line as a new functional food.. Maydica. 59(3). 191–200. 14 indexed citations
13.
Cassani, E., et al.. (2013). Analysis of chromosome number and speculations on the origin of Arundo donax L. (Giant Reed). Cytology and Genetics. 47(4). 237–241. 24 indexed citations
14.
Cassani, E., et al.. (2012). Study of Low Phytic Acid1-7 (lpa1-7), a New ZmMRP4 Mutation in Maize. Journal of Heredity. 103(4). 598–605. 35 indexed citations
15.
16.
Cereda, Emanuele, E. Cassani, Michela Barichella, Riccardo Caccialanza, & Gianni Pezzoli. (2011). Anthropometric indices of fat distribution and cardiometabolic risk in Parkinson’s disease. Nutrition Metabolism and Cardiovascular Diseases. 23(3). 264–271. 13 indexed citations
17.
Cassani, E., Michela Landoni, Enrico Doria, et al.. (2010). The low phytic acid1-241 (lpa1-241) maize mutation alters the accumulation of anthocyanin pigment in the kernel. Planta. 231(5). 1189–1199. 24 indexed citations
18.
Pilu, Roberto, et al.. (2010). Effect of flavonoid pigments on the accumulation of fumonisin B1 in the maize kernel. Journal of Applied Genetics. 52(2). 145–152. 33 indexed citations
19.
Doria, Enrico, Luciano Galleschi, Lucia Calucci, et al.. (2009). Phytic acid prevents oxidative stress in seeds: evidence from a maize (Zea mays L.) low phytic acid mutant. Journal of Experimental Botany. 60(3). 967–978. 113 indexed citations
20.
Pilu, Roberto, et al.. (2008). A paramutation phenomenon is involved in the genetics of maize low phytic acid1-241 (lpa1-241) trait. Heredity. 102(3). 236–245. 48 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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