Pamela Pizzutilo

76 total papers · 1.2k total citations
33 papers, 329 citations indexed

About

Pamela Pizzutilo is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Pamela Pizzutilo has authored 33 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 17 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Pamela Pizzutilo's work include Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Treatments and Mutations (10 papers) and Lung Cancer Research Studies (8 papers). Pamela Pizzutilo is often cited by papers focused on Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Treatments and Mutations (10 papers) and Lung Cancer Research Studies (8 papers). Pamela Pizzutilo collaborates with scholars based in Italy. Pamela Pizzutilo's co-authors include Domenico Galetta, Annamaria Catino, Michele Montrone, Vito Longo, Francesco Pesola, D. Bafunno, Gabriella Del Bene, Ilaria Marech, Tiziana Vavalà and Jolanda Palmisani and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Annals of Oncology.

In The Last Decade

Pamela Pizzutilo

25 papers receiving 321 citations

Author Peers

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

Author Last Decade Papers Cites
Pamela Pizzutilo 165 91 57 49 46 33 329
Nobuhiro Saruki 71 0.4× 54 0.6× 18 0.3× 44 0.9× 114 2.5× 30 350
Darren S. Bryan 88 0.5× 104 1.1× 29 0.5× 35 0.7× 31 0.7× 30 306
Arun Gupta 59 0.4× 54 0.6× 52 0.9× 43 0.9× 83 1.8× 30 324
Li‐Ta Keng 56 0.3× 163 1.8× 62 1.1× 62 1.3× 44 1.0× 35 321
Ruidan Li 56 0.3× 55 0.6× 25 0.4× 29 0.6× 58 1.3× 44 259
Maria Leung 103 0.6× 122 1.3× 27 0.5× 38 0.8× 67 1.5× 26 333
Martina Loibner 53 0.3× 79 0.9× 19 0.3× 9 0.2× 62 1.3× 18 304
Nagao Shinagawa 48 0.3× 57 0.6× 9 0.2× 37 0.8× 59 1.3× 43 343
Isaac Núñez 114 0.7× 103 1.1× 25 0.4× 55 1.1× 102 2.2× 33 305
N. H. Martin 34 0.2× 30 0.3× 20 0.4× 33 0.7× 94 2.0× 32 343

Countries citing papers authored by Pamela Pizzutilo

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Pizzutilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Pizzutilo

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