Giovanni Morana

220 total papers · 3.6k total citations
145 papers, 1.8k citations indexed

About

Giovanni Morana is a scholar working on Genetics, Neurology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Giovanni Morana has authored 145 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 38 papers in Neurology and 37 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Giovanni Morana's work include Glioma Diagnosis and Treatment (47 papers), Fetal and Pediatric Neurological Disorders (22 papers) and Neonatal and fetal brain pathology (19 papers). Giovanni Morana is often cited by papers focused on Glioma Diagnosis and Treatment (47 papers), Fetal and Pediatric Neurological Disorders (22 papers) and Neonatal and fetal brain pathology (19 papers). Giovanni Morana collaborates with scholars based in Italy, United Kingdom and Germany. Giovanni Morana's co-authors include Andrea Rossi, Mariasavina Severino, Domenico Tortora, Maria Luisa Garrè, Arnoldo Piccardo, Mohamad Maghnie, Luca A. Ramenghi, Mariya Malova, Alessandro Parodi and Armando Cama and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Giovanni Morana

138 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Giovanni Morana 564 459 442 438 337 145 1.8k
Zoltán Patay 735 1.3× 451 1.0× 522 1.2× 332 0.8× 200 0.6× 105 2.0k
Shunji Nishio 640 1.1× 571 1.2× 221 0.5× 338 0.8× 360 1.1× 107 2.2k
B Pasquier 895 1.6× 559 1.2× 232 0.5× 331 0.8× 489 1.5× 123 2.3k
Ryosuke Hanaya 555 1.0× 306 0.7× 426 1.0× 302 0.7× 137 0.4× 129 1.7k
Tim Jaspan 488 0.9× 711 1.5× 427 1.0× 686 1.6× 233 0.7× 99 2.3k
Domenico Tortora 287 0.5× 247 0.5× 359 0.8× 498 1.1× 216 0.6× 111 1.3k
Kouichirou Okamoto 345 0.6× 558 1.2× 342 0.8× 119 0.3× 227 0.7× 109 1.7k
Matthew T. Whitehead 175 0.3× 277 0.6× 324 0.7× 389 0.9× 178 0.5× 125 1.6k
R. N. Şener 208 0.4× 384 0.8× 375 0.8× 472 1.1× 176 0.5× 184 2.2k
Motohiko Maruno 425 0.8× 546 1.2× 276 0.6× 143 0.3× 251 0.7× 93 1.9k

Countries citing papers authored by Giovanni Morana

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Morana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Morana

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