Chiara Trentin

75 total papers · 1.1k total citations
44 papers, 613 citations indexed

About

Chiara Trentin is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Chiara Trentin has authored 44 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 14 papers in Oncology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Chiara Trentin's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Breast Lesions and Carcinomas (7 papers) and AI in cancer detection (5 papers). Chiara Trentin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Breast Lesions and Carcinomas (7 papers) and AI in cancer detection (5 papers). Chiara Trentin collaborates with scholars based in Italy, Netherlands and United Kingdom. Chiara Trentin's co-authors include Enrico Cassano, Viviana Galimberti, Giovanni Corso, Paolo Veronesi, Mattia Intra, Orazio Caffo, Valeria Dominelli, Antonello Veccia, Michele Carlucci and C. Staudacher and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Chiara Trentin

40 papers receiving 597 citations

Author Peers

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

Author						Papers	Cites
Chiara Trentin	212	159	149	148	146	44	613
Elisabeth G. Klompenhouwer	203 1.0×	200 1.3×	280 1.9×	142 1.0×	99 0.7×	42	661
Antonello Accurso	99 0.5×	220 1.4×	207 1.4×	147 1.0×	113 0.8×	52	698
Marlo Nicolas	218 1.0×	124 0.8×	203 1.4×	46 0.3×	80 0.5×	39	528
Ciqiu Yang	120 0.6×	105 0.7×	231 1.6×	217 1.5×	139 1.0×	58	646
Roshni Chinoy	102 0.5×	159 1.0×	170 1.1×	40 0.3×	131 0.9×	29	526
Kazuhiro Tabata	252 1.2×	106 0.7×	149 1.0×	117 0.8×	41 0.3×	75	679
Aparna Harbhajanka	133 0.6×	149 0.9×	128 0.9×	42 0.3×	88 0.6×	56	516
Paula S. Ginter	119 0.6×	89 0.6×	341 2.3×	56 0.4×	220 1.5×	54	688
Amir Momeni Boroujeni	180 0.8×	93 0.6×	152 1.0×	44 0.3×	104 0.7×	53	616
Carla Cedolini	80 0.4×	222 1.4×	126 0.8×	81 0.5×	170 1.2×	40	566

Countries citing papers authored by Chiara Trentin

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Trentin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Trentin

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