Claudia Parisi

92 total papers · 1.8k total citations
46 papers, 1.2k citations indexed

About

Claudia Parisi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Claudia Parisi has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 18 papers in Oncology and 12 papers in Surgery. Recurrent topics in Claudia Parisi's work include Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Celiac Disease Research and Management (6 papers). Claudia Parisi is often cited by papers focused on Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Celiac Disease Research and Management (6 papers). Claudia Parisi collaborates with scholars based in Italy, France and Spain. Claudia Parisi's co-authors include Umberto Volta, E Fiorini, Maria Piscaglia, Francesco Gelsomino, Alessandro Di Federico, Fabrice Barlési, Angela Fabbri, Francesco Tovoli, Andrea De Giglio and Giuseppe Lamberti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Claudia Parisi

44 papers receiving 1.2k citations

Hit Papers

Anti-TIGIT therapies for ... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Claudia Parisi 429 392 367 338 230 46 1.2k
Alberto A. Diaz‐Arias 94 0.2× 403 1.0× 448 1.2× 324 1.0× 228 1.0× 55 1.4k
Kejian Guo 342 0.8× 113 0.3× 542 1.5× 295 0.9× 307 1.3× 49 1.2k
C Alvisi 265 0.6× 223 0.6× 712 1.9× 163 0.5× 227 1.0× 34 1.2k
Naondo Sohara 198 0.5× 512 1.3× 385 1.0× 256 0.8× 334 1.5× 49 1.2k
Francesco Paolo Pilato 113 0.3× 534 1.4× 358 1.0× 309 0.9× 189 0.8× 41 994
J. Fletcher 662 1.5× 143 0.4× 381 1.0× 151 0.4× 670 2.9× 36 1.4k
S A Watson 86 0.2× 265 0.7× 489 1.3× 383 1.1× 194 0.8× 34 1.1k
Toshihiro Suga 115 0.3× 339 0.9× 574 1.6× 312 0.9× 300 1.3× 61 1.4k
Pietro Caruana 341 0.8× 307 0.8× 785 2.1× 199 0.6× 301 1.3× 36 1.1k
Shih‐Pei Huang 323 0.8× 86 0.2× 730 2.0× 369 1.1× 315 1.4× 46 1.4k

Countries citing papers authored by Claudia Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Parisi

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