Pedro De Marchi

128 total papers · 2.4k total citations
57 papers, 506 citations indexed

About

Pedro De Marchi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Pedro De Marchi has authored 57 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 29 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Pedro De Marchi's work include Lung Cancer Treatments and Mutations (28 papers), Cancer Genomics and Diagnostics (13 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Pedro De Marchi is often cited by papers focused on Lung Cancer Treatments and Mutations (28 papers), Cancer Genomics and Diagnostics (13 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Pedro De Marchi collaborates with scholars based in Brazil, United States and Portugal. Pedro De Marchi's co-authors include Rui Manuel Reis, Letícia Ferro Leal, Eduardo Caetano Albino da Silva, Vinícius Duval da Silva, Vladmir Cláudio Cordeiro de Lima, Flávia Escremim de Paula, Carlos Gil Ferreira, Gilberto de Castro, José Elias Miziara and Carlos H. Barrios and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Pedro De Marchi

50 papers receiving 499 citations

Author Peers

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

Author Last Decade Papers Cites
Pedro De Marchi 275 242 115 105 61 57 506
Pedro Pérez Segura 207 0.8× 205 0.8× 76 0.7× 66 0.6× 52 0.9× 55 498
Enes Erul 290 1.1× 147 0.6× 85 0.7× 112 1.1× 88 1.4× 33 589
Tobias R. Overbeck 235 0.9× 234 1.0× 64 0.6× 141 1.3× 80 1.3× 51 511
Manlio Monti 194 0.7× 172 0.7× 102 0.9× 114 1.1× 88 1.4× 46 459
Giulia Baciarello 320 1.2× 269 1.1× 112 1.0× 92 0.9× 75 1.2× 40 562
KC Lakshmaiah 323 1.2× 185 0.8× 61 0.5× 79 0.8× 70 1.1× 75 562
Chang‐Ho Jeon 190 0.7× 103 0.4× 68 0.6× 169 1.6× 75 1.2× 55 588
Daisuke Yamashita 254 0.9× 107 0.4× 64 0.6× 75 0.7× 156 2.6× 86 548
Cheng Lin 245 0.9× 135 0.6× 149 1.3× 131 1.2× 105 1.7× 38 459
Qin Zhou 126 0.5× 124 0.5× 80 0.7× 101 1.0× 90 1.5× 39 454

Countries citing papers authored by Pedro De Marchi

Since Specialization
Citations

This map shows the geographic impact of Pedro 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 Pedro 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 Pedro De Marchi more than expected).

Fields of papers citing papers by Pedro De Marchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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