Francesca Valdora

43 total papers · 1.2k total citations
22 papers, 834 citations indexed

About

Francesca Valdora is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Francesca Valdora has authored 22 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Francesca Valdora's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Neuroblastoma Research and Treatments (4 papers) and MRI in cancer diagnosis (4 papers). Francesca Valdora is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Neuroblastoma Research and Treatments (4 papers) and MRI in cancer diagnosis (4 papers). Francesca Valdora collaborates with scholars based in Italy, Australia and United Kingdom. Francesca Valdora's co-authors include Alberto Tagliafico, Federica Rossi, Massimo Calabrese, Nehmat Houssami, Bianca Bignotti, Alessio Signori, Maria Pia Sormani, Simona Coco, Sara Stigliani and Gian Paolo Tonini and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Francesca Valdora

22 papers receiving 827 citations

Author Peers

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

Author						Papers	Cites
Francesca Valdora	440	251	251	178	172	22	834
Laurence Champion	562 1.3×	248 1.0×	53 0.2×	251 1.4×	103 0.6×	41	859
Lei Zhang	313 0.7×	381 1.5×	59 0.2×	210 1.2×	132 0.8×	27	873
Byung Hyun Byun	570 1.3×	409 1.6×	49 0.2×	169 0.9×	92 0.5×	46	895
Ruud Clarijs	299 0.7×	235 0.9×	57 0.2×	248 1.4×	127 0.7×	19	943
Wedad Hanna	112 0.3×	198 0.8×	137 0.5×	321 1.8×	201 1.2×	19	767
Xuejin Ou	344 0.8×	163 0.6×	39 0.2×	402 2.3×	68 0.4×	21	1.0k
R Korn	492 1.1×	354 1.4×	140 0.6×	158 0.9×	26 0.2×	26	810
Kenneth W. Berean	249 0.6×	242 1.0×	69 0.3×	196 1.1×	149 0.9×	16	842
Kees A. Seldenrijk	147 0.3×	587 2.3×	37 0.1×	161 0.9×	144 0.8×	20	1.0k
Baoshi Chen	210 0.5×	137 0.5×	43 0.2×	73 0.4×	196 1.1×	18	700

Countries citing papers authored by Francesca Valdora

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Valdora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Valdora

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