L. Paoletti

649 citations
18 papers · 367 · h-index 7

Impact in

Papers in

L. Paoletti

17 papers receiving 363 citations

Peers

L. Paoletti
Comparison fields: 5 of 44
  • Cancer Research 206
  • Radiation 80
  • Oncology 51
  • Radiology, Nuclear Medicine and Imaging 41
  • Pathology and Forensic Medicine 28
Replace Alessandra Franzetti-Pellanda with:
Alessandra Franzetti-Pellanda Switzerland
Daphne Palmer United States
Ernest Bélembaogo Gabon
Robertson Js United Kingdom
Luc Matthieu Fornecker France
Albert Tiong Australia
Yong‐Qiao He China
Andrea Rieber-Brambs Germany
Mauricio Cuello Fredes Chile
Xueying Qiao China
L. Paoletti relative to Alessandra Franzetti-Pellanda Switzerland Alessandra Franzetti-Pellanda's profile →
Citations per field
00.5×7.6×
Alessandra Franzetti-Pellanda · 1×
Citations per year

Countries citing papers authored by L. Paoletti

Since Specialization
Citations

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

Fields of papers citing papers by L. Paoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L. Paoletti, 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 L. Paoletti Line = papers co-authored together L. Paoletti links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020247
2 200235
3 202019
4 201915
5 199112
6 200811
7 20228
8 20216
9 20234
10 20222
11 20062
12 20181
13 20231
14 20191
15 20161
16 20181
17 20171
18 20100

About L. Paoletti

L. Paoletti is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 18 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Breast Cancer Treatment Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Radiation Therapy and Dosimetry (2 papers), Medical Imaging Techniques and Applications (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Streptococcal Infections and Treatments (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Cancer Research (206 citations), Radiation (80 citations), Oncology (51 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Pathology and Forensic Medicine (28 citations). L. Paoletti has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Simonetta Bianchi, Monica Mangoni, Calogero Saieva, Silvia Scoccianti, Icro Meattini, Gabriele Simontacchi, Lorenzo Livi, Massimiliano Fambrini, Jacopo Nori and Vieri Scotti. Their work appears in journals such as Radiotherapy and Oncology, Strahlentherapie und Onkologie, Physica Medica, Journal of Clinical Oncology and Applied Sciences.

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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