M. Schiavi

30 total papers · 425 total citations
20 papers, 319 citations indexed

About

M. Schiavi is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, M. Schiavi has authored 20 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in M. Schiavi's work include Plant tissue culture and regeneration (5 papers), Chromosomal and Genetic Variations (4 papers) and Plant nutrient uptake and metabolism (3 papers). M. Schiavi is often cited by papers focused on Plant tissue culture and regeneration (5 papers), Chromosomal and Genetic Variations (4 papers) and Plant nutrient uptake and metabolism (3 papers). M. Schiavi collaborates with scholars based in Italy, Ireland and Iran. M. Schiavi's co-authors include B. Campion, A. Ferrante, Giuseppe Leonardo Rotino, Asdrúbal Falavigna, Roberto Lo Scalzo, Pasquale Tripodi, Mohammad Mahmoodi Sourestani, Teodoro Cardi, Carmela Anna Migliori and Nadia Ficcadenti and has published in prestigious journals such as Journal of the Science of Food and Agriculture, Plant Science and Phytopathology.

In The Last Decade

M. Schiavi

20 papers receiving 287 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Schiavi 267 125 43 23 20 20 319
Leandro Pereira-Dias 226 0.8× 71 0.6× 12 0.3× 18 0.8× 9 0.5× 17 304
Ana María Adalid-Martínez 209 0.8× 72 0.6× 22 0.5× 12 0.5× 13 0.7× 20 321
Syed Noor Muhammad Shah 244 0.9× 136 1.1× 16 0.4× 8 0.3× 7 0.3× 18 365
Roshan Zamir 261 1.0× 204 1.6× 78 1.8× 4 0.2× 21 1.1× 28 362
İvanka Trıngovska 227 0.9× 34 0.3× 13 0.3× 12 0.5× 18 0.9× 26 282
María R. Figàs 282 1.1× 65 0.5× 19 0.4× 6 0.3× 11 0.6× 15 364
Arlete Marchi Tavares de Melo 223 0.8× 41 0.3× 27 0.6× 49 2.1× 13 0.7× 27 312
Celia Chávez-Mendoza 218 0.8× 42 0.3× 66 1.5× 15 0.7× 24 1.2× 23 365
Ademola Emmanuel Adetunji 158 0.6× 61 0.5× 10 0.2× 19 0.8× 24 1.2× 24 266
Nancy Ruíz-Lau 243 0.9× 75 0.6× 19 0.4× 54 2.3× 30 1.5× 29 355

Countries citing papers authored by M. Schiavi

Since Specialization
Citations

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

Fields of papers citing papers by M. Schiavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Schiavi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Schiavi. A scholar is included among the top collaborators of M. Schiavi 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 M. Schiavi. M. Schiavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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