Martino Deidda

127 total papers · 2.7k total citations
86 papers, 1.9k citations indexed

About

Martino Deidda is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Martino Deidda has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cardiology and Cardiovascular Medicine, 18 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Martino Deidda's work include Chemotherapy-induced cardiotoxicity and mitigation (22 papers), Cardiovascular Function and Risk Factors (14 papers) and Cancer Treatment and Pharmacology (12 papers). Martino Deidda is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (22 papers), Cardiovascular Function and Risk Factors (14 papers) and Cancer Treatment and Pharmacology (12 papers). Martino Deidda collaborates with scholars based in Italy, United States and Ireland. Martino Deidda's co-authors include Giuseppe Mercuro, Christian Cadeddu Dessalvi, Alessandra Piras, Clelia Madeddu, Giuseppe Rosano, Pier Paolo Bassareo, Mariele Dessì, Cristiana Vitale, Giovanni Mantovani and Elena Massa and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Martino Deidda

82 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Martino Deidda 962 351 288 250 250 86 1.9k
Ninian N. Lang 901 0.9× 435 1.2× 375 1.3× 300 1.2× 197 0.8× 86 2.1k
Renaud Fay 1.2k 1.2× 195 0.6× 167 0.6× 339 1.4× 192 0.8× 67 2.1k
Calvin Eng 1.3k 1.3× 257 0.7× 288 1.0× 199 0.8× 531 2.1× 81 2.6k
Stephen Hill 1.1k 1.1× 453 1.3× 152 0.5× 368 1.5× 286 1.1× 91 2.6k
Hal A. Skopicki 1.2k 1.2× 330 0.9× 220 0.8× 353 1.4× 241 1.0× 61 2.0k
Gabriela M. Kuster 984 1.0× 716 2.0× 207 0.7× 192 0.8× 197 0.8× 58 2.4k
Adnan Abacı 1.0k 1.1× 432 1.2× 253 0.9× 354 1.4× 318 1.3× 91 2.0k
Yuichi Nakamura 526 0.5× 542 1.5× 175 0.6× 258 1.0× 129 0.5× 103 1.8k
Xiaoli Zhang 636 0.7× 322 0.9× 164 0.6× 313 1.3× 179 0.7× 168 2.2k
Włodzimierz J. Musiał 875 0.9× 417 1.2× 87 0.3× 261 1.0× 190 0.8× 146 1.9k

Countries citing papers authored by Martino Deidda

Since Specialization
Citations

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

Fields of papers citing papers by Martino Deidda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martino Deidda

This figure shows the co-authorship network connecting the top 25 collaborators of Martino Deidda. A scholar is included among the top collaborators of Martino Deidda 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 Martino Deidda. Martino Deidda 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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2026