Viola De Luca

535 citations
26 papers · 379 · h-index 11

Impact in

Papers in

Viola De Luca

22 papers receiving 376 citations

Peers

Viola De Luca
Comparison fields: 5 of 47
  • Radiation 102
  • Radiology, Nuclear Medicine and Imaging 95
  • Oncology 86
  • Pathology and Forensic Medicine 38
  • Health Informatics 3
Replace Barbara Stam with:
Barbara Stam Netherlands
Ivaldo Humberto Ferreira France
R Cardan United States
Anneyuko I. Saito Japan
Lucio Mango Italy
Masahisa Onoguchi Japan
Clemens Lang Austria
Anuradha Thiagarajan Singapore
Linda Rossi Netherlands
Jakub Cvek Czechia
Viola De Luca relative to Barbara Stam Netherlands Barbara Stam's profile →
Citations per field
00.5×3.6×
Barbara Stam · 1×
Citations per year

Countries citing papers authored by Viola De Luca

Since Specialization
Citations

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

Fields of papers citing papers by Viola De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viola De Luca. 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 Viola De Luca. The network helps show where Viola De Luca may publish in the future.

Co-authors

The 25 scholars most cited alongside Viola De Luca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viola De Luca Line = papers co-authored together Viola De Luca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 201670
3 202136
4 201930
5 201826
6 202024
7 202020
8 202217
9 202013
10 202112
11 202211
12 202210
13 20239
14 20205
15 20144
16 20244
17 20183
18 20181
19 20201
20 20201

About Viola De Luca

Viola De Luca is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiation, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 26 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (5 papers), Colorectal and Anal Carcinomas (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Respiratory Support and Mechanisms (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiation (102 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Oncology (86 citations), Pathology and Forensic Medicine (38 citations) and Health Informatics (3 citations). Viola De Luca has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Vincenzo Valentini, Angela Romano, Giuditta Chiloiro, Luca Boldrini, Davide Cusumano, Luca Indovina, Claudio Votta, Lorenzo Placidi, Umberto Ricardi and Francesco Catucci. Their work appears in journals such as Radiotherapy and Oncology, Cancers, Applied Sciences, British Journal of Radiology and Brachytherapy.

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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