Davide De Marchi

94 total papers · 477 total citations
38 papers, 251 citations indexed

About

Davide De Marchi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Urology. According to data from OpenAlex, Davide De Marchi has authored 38 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 17 papers in Pulmonary and Respiratory Medicine and 10 papers in Urology. Recurrent topics in Davide De Marchi's work include Prostate Cancer Diagnosis and Treatment (13 papers), Bladder and Urothelial Cancer Treatments (11 papers) and Prostate Cancer Treatment and Research (9 papers). Davide De Marchi is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (13 papers), Bladder and Urothelial Cancer Treatments (11 papers) and Prostate Cancer Treatment and Research (9 papers). Davide De Marchi collaborates with scholars based in Italy, United States and Switzerland. Davide De Marchi's co-authors include Maria Angela Cerruto, Walter Artibani, Giovanni Cacciamani, Antonio Benito Porcaro, Salvatore Siracusano, Marco Sebben, Vincenzo De Marco, Alessandro Tafuri, Carolina D’Elia and Paolo Corsi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and Health and Quality of Life Outcomes.

In The Last Decade

Davide De Marchi

34 papers receiving 246 citations

Author Peers

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

Author						Papers	Cites
Davide De Marchi	173	78	70	54	43	38	251
Zeynep Gul	122 0.7×	139 1.8×	72 1.0×	46 0.9×	33 0.8×	30	293
Ruban Thanigasalam	124 0.7×	116 1.5×	77 1.1×	87 1.6×	35 0.8×	41	268
Won Jun Choi	173 1.0×	97 1.2×	38 0.5×	27 0.5×	31 0.7×	38	309
Carlo Gandi	116 0.7×	135 1.7×	94 1.3×	105 1.9×	31 0.7×	35	302
Tomé Lopes	87 0.5×	76 1.0×	67 1.0×	43 0.8×	35 0.8×	25	212
Burak Özkan	152 0.9×	125 1.6×	81 1.2×	25 0.5×	13 0.3×	40	268
Duck Ki Yoon	164 0.9×	118 1.5×	101 1.4×	68 1.3×	46 1.1×	30	330
S. Bart	90 0.5×	94 1.2×	102 1.5×	107 2.0×	35 0.8×	35	267
Gabriel Ogaya‐Pinies	133 0.8×	133 1.7×	57 0.8×	47 0.9×	25 0.6×	28	259
Marshall Strother	98 0.6×	90 1.2×	29 0.4×	24 0.4×	38 0.9×	29	222

Countries citing papers authored by Davide De Marchi

Since Specialization

Citations

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

Fields of papers citing papers by Davide De Marchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide De Marchi

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