Arnoldo Piccardo

6.4k citations
197 papers · 4.0k indexed · 1 hit paper · h-index 37

Impact in

Papers in

Arnoldo Piccardo

185 papers receiving 4.0k citations

Hit Papers

The EANM practice guidelines for parathyroid imaging 2021 · 137 citations
13720212026202220244080120

Peers

Arnoldo Piccardo
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Nephrology 431
  • Neurology 591
  • Genetics 395
Replace Jin Chul Paeng with:
Jin Chul Paeng South Korea
Markus Luster Germany
Alberto Cuocolo Italy
Randall A. Hawkins United States
Dana M. Hartl France
David Taïeb France
Jeffrey F. Moley United States
Michael C. Kreißl Germany
Françoise Borson‐Chazot France
Stan B. Sidhu Australia
Arnoldo Piccardo relative to Jin Chul Paeng South Korea Jin Chul Paeng's profile →
Citations per field
00.5×4.7×
Jin Chul Paeng · 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
#Work
1 20251
2 20250
3 20240
4 20243
5 20231
6 202212
7 202220
8 202232
9 202128
10 20213
11 202127
12 20201
13 20205
14 202011
15 201923
16 201816
17 2018135
18 201712
19 201346
20 201257

About Arnoldo Piccardo

Arnoldo Piccardo is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Neurology, Genetics and Nephrology, having authored 197 papers that have together received 4.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (70 papers), Medical Imaging Techniques and Applications (44 papers), Thyroid and Parathyroid Surgery (30 papers), Radiomics and Machine Learning in Medical Imaging (29 papers), Neuroblastoma Research and Treatments (23 papers), Radiopharmaceutical Chemistry and Applications (22 papers), Glioma Diagnosis and Treatment (21 papers) and Neuroendocrine Tumor Research Advances (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Nephrology (431 citations), Neurology (591 citations) and Genetics (395 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 Angelina Cistaro. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, Clinical Endocrinology, 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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