Maurizio Capuana

45 total papers · 872 total citations
35 papers, 633 citations indexed

About

Maurizio Capuana is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Maurizio Capuana has authored 35 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 24 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Maurizio Capuana's work include Plant tissue culture and regeneration (24 papers), Seed Germination and Physiology (10 papers) and Plant Stress Responses and Tolerance (7 papers). Maurizio Capuana is often cited by papers focused on Plant tissue culture and regeneration (24 papers), Seed Germination and Physiology (10 papers) and Plant Stress Responses and Tolerance (7 papers). Maurizio Capuana collaborates with scholars based in Italy, Türkiye and Egypt. Maurizio Capuana's co-authors include Sara Di Lonardo, Riccardo Giannini, Pierre Debergh, Cristina Gonnelli, Miluscia Arnetoli, R. Gabbrielli, Maurizio Lambardi, A. Di Marco, Elif Aylin Özüdoğru and Raffaello Giannini and has published in prestigious journals such as Journal of Hazardous Materials, Theoretical and Applied Genetics and Planta.

In The Last Decade

Maurizio Capuana

33 papers receiving 578 citations

Author Peers

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

Author Last Decade Papers Cites
Maurizio Capuana 493 356 104 52 48 35 633
Xueqin Wan 461 0.9× 241 0.7× 72 0.7× 30 0.6× 35 0.7× 57 678
E. Kukkola 463 0.9× 211 0.6× 65 0.6× 58 1.1× 34 0.7× 17 608
Ermei Chang 390 0.8× 369 1.0× 102 1.0× 73 1.4× 29 0.6× 35 731
Tracy M. Sterling 509 1.0× 149 0.4× 176 1.7× 99 1.9× 45 0.9× 43 652
Xin Li 521 1.1× 180 0.5× 36 0.3× 54 1.0× 34 0.7× 43 745
Li Liu 580 1.2× 197 0.6× 54 0.5× 35 0.7× 43 0.9× 22 744
Mihály Czakó 382 0.8× 350 1.0× 61 0.6× 26 0.5× 36 0.8× 27 736
Mian Zhang 560 1.1× 154 0.4× 101 1.0× 23 0.4× 54 1.1× 32 707
Ewa Marzena Kalemba 651 1.3× 257 0.7× 27 0.3× 35 0.7× 29 0.6× 45 783
Wenyan Wang 441 0.9× 148 0.4× 46 0.4× 51 1.0× 37 0.8× 33 625

Countries citing papers authored by Maurizio Capuana

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Capuana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Capuana

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Capuana. A scholar is included among the top collaborators of Maurizio Capuana 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 Maurizio Capuana. Maurizio Capuana 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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