Stefano De Martini

56 total papers · 748 total citations
21 papers, 253 citations indexed

About

Stefano De Martini is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Stefano De Martini has authored 21 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Stefano De Martini's work include Cerebrovascular and Carotid Artery Diseases (4 papers), Coronary Interventions and Diagnostics (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Stefano De Martini is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (4 papers), Coronary Interventions and Diagnostics (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Stefano De Martini collaborates with scholars based in Italy, United States and Egypt. Stefano De Martini's co-authors include Giuseppe Calligaris, Antonio L. Bartorelli, Giovanni Teruzzi, Franco Fabbiocchi, Paolo Ravagnani, Piero Montorsi, Daniela Trabattoni, Marco Cosentino, Franca Marino and Stefano Galli and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and The American Journal of Cardiology.

In The Last Decade

Stefano De Martini

19 papers receiving 245 citations

Author Peers

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

Author						Papers	Cites
Stefano De Martini	98	95	88	45	42	21	253
Jianing Wang	39 0.4×	32 0.3×	46 0.5×	56 1.2×	19 0.5×	25	286
Xue Wang	42 0.4×	33 0.3×	51 0.6×	23 0.5×	40 1.0×	16	236
Bernadette Schurink	66 0.7×	30 0.3×	81 0.9×	77 1.7×	15 0.4×	21	276
Philip C. Wiener	40 0.4×	47 0.5×	84 1.0×	19 0.4×	20 0.5×	25	317
Mona Shehadeh	26 0.3×	39 0.4×	42 0.5×	28 0.6×	59 1.4×	19	308
Yuerong Chen	56 0.6×	58 0.6×	33 0.4×	7 0.2×	24 0.6×	26	272
Seong‐Won Min	76 0.8×	41 0.4×	77 0.9×	15 0.3×	35 0.8×	25	287
Min Wang	23 0.2×	49 0.5×	84 1.0×	20 0.4×	87 2.1×	27	324
Michael DelCore	65 0.7×	64 0.7×	92 1.0×	43 1.0×	93 2.2×	15	309
Rachel L. León	61 0.6×	43 0.5×	25 0.3×	30 0.7×	103 2.5×	25	302

Countries citing papers authored by Stefano De Martini

Since Specialization

Citations

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

Fields of papers citing papers by Stefano De Martini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano De Martini. 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 Stefano De Martini. The network helps show where Stefano De Martini may publish in the future.

Co-authorship network of co-authors of Stefano De Martini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano De Martini. A scholar is included among the top collaborators of Stefano De Martini 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 Stefano De Martini. Stefano De Martini 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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