Arnoldo Piccardo

6.5k citations
199 papers · 4.1k · h-index 37

Impact in

Papers in

Arnoldo Piccardo

186 papers receiving 4.1k citations

Peers

Arnoldo Piccardo
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Nephrology 428
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Neurology 509
  • Genetics 349
Replace Markus Luster with:
Markus Luster Germany
Jin Chul Paeng South Korea
David Taïeb France
Milton D. Gross United States
Dana M. Hartl France
Alberto Cuocolo Italy
Anders Sundin Sweden
Michael C. Kreißl Germany
Bruno Niederle Austria
Georgios Karanikas Austria
Arnoldo Piccardo relative to Markus Luster Germany Markus Luster's profile →
Citations per field
00.5×10.6×
Markus Luster · 1×
Citations per year

Countries citing papers authored by Arnoldo Piccardo

Since Specialization
Citations

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

Fields of papers citing papers by Arnoldo Piccardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 2021142
3 2018138
4 2012125
5 201990
6 202290
7 200987
8 201180
9 201379
10 201474
11 201272
12 202065
13 202065
14 201565
15 201865
16 201764
17 200862
18 202062
19 201761
20 201257

About Arnoldo Piccardo

Arnoldo Piccardo is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery, Neurology and Pulmonary and Respiratory Medicine, having authored 199 papers that have together received 4.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (66 papers), Medical Imaging Techniques and Applications (31 papers), Neuroblastoma Research and Treatments (18 papers), Glioma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Thyroid and Parathyroid Surgery (14 papers), Prostate Cancer Treatment and Research (12 papers) and Neuroendocrine Tumor Research Advances (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Nephrology (428 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Neurology (509 citations) and Genetics (349 citations). Arnoldo Piccardo has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Luca Giovanella, Giorgio Treglia, Pierpaolo Trimboli, Lorenzo Scappaticcio, Luca Foppiani, Francesco Bertagna, Matteo Puntoni, Manlio Cabria, Gianluca Bottoni and Silvia Morbelli. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Clinical Endocrinology, Journal of Nuclear Medicine, Reviews in Endocrine and Metabolic Disorders and Journal of Clinical Medicine.

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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