S. Pezzulli

20 total papers · 877 total citations
19 papers, 705 citations indexed

About

S. Pezzulli is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, S. Pezzulli has authored 19 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in S. Pezzulli's work include Cancer, Hypoxia, and Metabolism (8 papers), Cancer therapeutics and mechanisms (6 papers) and Cancer Treatment and Pharmacology (5 papers). S. Pezzulli is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Cancer therapeutics and mechanisms (6 papers) and Cancer Treatment and Pharmacology (5 papers). S. Pezzulli collaborates with scholars based in United States, Canada and Slovakia. S. Pezzulli's co-authors include David R. Spriggs, Paul Sabbatini, Carol Aghajanian, Martee L. Hensley, Don S. Dizon, Steven L. Soignet, Peter J. Elliott, Christine Pien, Adil Daud and Vincent A. Miller and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

S. Pezzulli

19 papers receiving 679 citations

Author Peers

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

Author Last Decade Papers Cites
S. Pezzulli 403 353 142 104 94 19 705
Domenico Ciliberto 218 0.5× 457 1.3× 88 0.6× 68 0.7× 134 1.4× 30 683
Doreen LePage 450 1.1× 290 0.8× 52 0.4× 162 1.6× 81 0.9× 24 887
Audrey Rapinat 422 1.0× 308 0.9× 42 0.3× 179 1.7× 105 1.1× 17 886
Trader Mw 292 0.7× 403 1.1× 75 0.5× 45 0.4× 152 1.6× 16 720
Wengang Chen 387 1.0× 124 0.4× 74 0.5× 61 0.6× 89 0.9× 14 647
Fernanda Fabiani 526 1.3× 183 0.5× 76 0.5× 45 0.4× 155 1.6× 20 733
Nicolas Goardon 470 1.2× 160 0.5× 249 1.8× 162 1.6× 55 0.6× 29 903
Olga Ab 190 0.5× 569 1.6× 99 0.7× 73 0.7× 42 0.4× 23 769
Lowell J. Underwood 418 1.0× 244 0.7× 146 1.0× 211 2.0× 43 0.5× 16 879
Jennifer Curtis 320 0.8× 406 1.2× 45 0.3× 123 1.2× 56 0.6× 15 670

Countries citing papers authored by S. Pezzulli

Since Specialization
Citations

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

Fields of papers citing papers by S. Pezzulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Pezzulli

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