C. Puccetti

30 total papers · 507 total citations
17 papers, 220 citations indexed

About

C. Puccetti is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, C. Puccetti has authored 17 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in C. Puccetti's work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Cancer Treatment and Pharmacology (4 papers). C. Puccetti is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Cancer Treatment and Pharmacology (4 papers). C. Puccetti collaborates with scholars based in Italy, Spain and France. C. Puccetti's co-authors include D. Amoroso, Andrea Camerini, Sara Donati, C. Valsuani, G. Tartarelli, Cecilia Fondelli, Elisabetta Renzoni, Giorgio Giorgi, Nicola Maurea and Giancarlo Casolo and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

In The Last Decade

C. Puccetti

16 papers receiving 214 citations

Author Peers

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

Author						Papers	Cites
C. Puccetti	140	98	40	37	31	17	220
Nicole Williams	110 0.8×	91 0.9×	36 0.9×	63 1.7×	21 0.7×	17	243
Elisa Pellegrini	88 0.6×	52 0.5×	35 0.9×	40 1.1×	28 0.9×	21	246
Jigui Chen	121 0.9×	39 0.4×	56 1.4×	78 2.1×	40 1.3×	18	255
Hui Xu	63 0.5×	76 0.8×	54 1.4×	72 1.9×	14 0.5×	21	221
Paola Di Nardo	102 0.7×	112 1.1×	24 0.6×	30 0.8×	12 0.4×	17	202
Robbert J. van Alphen	131 0.9×	62 0.6×	36 0.9×	70 1.9×	11 0.4×	18	271
Meizhi He	120 0.9×	65 0.7×	44 1.1×	98 2.6×	33 1.1×	12	315
Lingdan Chen	50 0.4×	49 0.5×	41 1.0×	105 2.8×	18 0.6×	15	245
Fumitaka Suto	113 0.8×	56 0.6×	31 0.8×	35 0.9×	13 0.4×	19	227
Von G. Samedi	106 0.8×	36 0.4×	34 0.8×	94 2.5×	96 3.1×	19	320

Countries citing papers authored by C. Puccetti

Since Specialization

Citations

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

Fields of papers citing papers by C. Puccetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Puccetti

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