C. Valsuani

30 total papers · 455 total citations
16 papers, 248 citations indexed

About

C. Valsuani is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, C. Valsuani has authored 16 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in C. Valsuani's work include Cancer Treatment and Pharmacology (9 papers), Colorectal Cancer Treatments and Studies (7 papers) and Lung Cancer Treatments and Mutations (6 papers). C. Valsuani is often cited by papers focused on Cancer Treatment and Pharmacology (9 papers), Colorectal Cancer Treatments and Studies (7 papers) and Lung Cancer Treatments and Mutations (6 papers). C. Valsuani collaborates with scholars based in Italy, Brazil and United States. C. Valsuani's co-authors include D. Amoroso, Andrea Camerini, Sara Donati, G. Tartarelli, C. Puccetti, Fotios Loupakis, Chiara Cremolini, C. Boni, Alfredo Falcone and Luca Boni and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and BMC Cancer.

In The Last Decade

C. Valsuani

16 papers receiving 246 citations

Author Peers

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

Author						Papers	Cites
C. Valsuani	200	105	63	54	49	16	248
Loretta D’Onofrio	137 0.7×	80 0.8×	93 1.5×	77 1.4×	59 1.2×	18	298
Daniel Almquist	169 0.8×	84 0.8×	102 1.6×	37 0.7×	57 1.2×	18	300
Eisuke Kurihara	148 0.7×	113 1.1×	38 0.6×	48 0.9×	110 2.2×	12	271
Lin Yang	154 0.8×	65 0.6×	27 0.4×	30 0.6×	55 1.1×	22	239
Krassimir Koynov	194 1.0×	114 1.1×	35 0.6×	35 0.6×	47 1.0×	12	242
Maria Aurelia Barbera	133 0.7×	69 0.7×	101 1.6×	53 1.0×	69 1.4×	19	283
Dezuo Dong	117 0.6×	76 0.7×	59 0.9×	56 1.0×	116 2.4×	20	276
Philippe Ronga	177 0.9×	78 0.7×	36 0.6×	52 1.0×	49 1.0×	13	247
Yang Lv	186 0.9×	78 0.7×	18 0.3×	74 1.4×	96 2.0×	24	306
Paola Francica	123 0.6×	56 0.5×	39 0.6×	47 0.9×	158 3.2×	14	246

Countries citing papers authored by C. Valsuani

Since Specialization

Citations

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

Fields of papers citing papers by C. Valsuani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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