Daniele Penna

630 total citations
24 papers, 457 citations indexed

About

Daniele Penna is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Daniele Penna has authored 24 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Daniele Penna's work include Medical Imaging Techniques and Applications (6 papers), Hematological disorders and diagnostics (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Daniele Penna is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Hematological disorders and diagnostics (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Daniele Penna collaborates with scholars based in Italy, United Kingdom and United States. Daniele Penna's co-authors include Ettore Pelosi, Vincenzo Arena, G Bisi, Andrea Skanjeti, Désirèe Deandreis, Umberto Vitolo, Annalisa Chiappella, Anastasios Douroukas, Giulia Polverari and Annarita Ianniello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Daniele Penna

21 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniele Penna Italy 12 207 166 102 89 87 24 457
Olga Kagna Israel 12 161 0.8× 65 0.4× 141 1.4× 47 0.5× 105 1.2× 21 397
Naobumi Yashiro Japan 13 185 0.9× 72 0.4× 65 0.6× 14 0.2× 102 1.2× 26 456
L. Vlahos Greece 9 64 0.3× 92 0.6× 56 0.5× 17 0.2× 125 1.4× 33 313
W.I. Ganz United States 6 55 0.3× 48 0.3× 83 0.8× 26 0.3× 183 2.1× 12 400
Paul Meunier Belgium 13 137 0.7× 35 0.2× 154 1.5× 18 0.2× 183 2.1× 54 587
J Vandevenne Belgium 9 72 0.3× 89 0.5× 252 2.5× 13 0.1× 62 0.7× 17 457
Javzandulam Natsag Japan 12 88 0.4× 41 0.2× 230 2.3× 40 0.4× 52 0.6× 16 438
İrfan Taştepe Türkiye 14 56 0.3× 176 1.1× 289 2.8× 13 0.1× 331 3.8× 55 644
Mehmet Zeki Günlüoğlu Türkiye 17 82 0.4× 74 0.4× 416 4.1× 24 0.3× 155 1.8× 42 561
Markus Juchems Germany 13 245 1.2× 72 0.4× 164 1.6× 18 0.2× 320 3.7× 77 711

Countries citing papers authored by Daniele Penna

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Penna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Penna

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Penna. A scholar is included among the top collaborators of Daniele Penna 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 Daniele Penna. Daniele Penna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Carbone, Roberto G., Daniele Penna, Assaf Monselise, & Francesco Puppo. (2022). Systemic sarcoidosis with pituitary adenoma. Journal of Clinical Imaging Science. 12. 32–32. 2 indexed citations
2.
Penna, Daniele, Vincenzo Arena, Giulia Polverari, et al.. (2021). Artificial intelligence for reduced dose 18F-FDG PET examinations: a real-world deployment through a standardized framework and business case assessment. EJNMMI Physics. 8(1). 25–25. 44 indexed citations
3.
4.
Carbone, Roberto G., Giuseppe Murdaca, Simone Negrini, Daniele Penna, & Francesco Puppo. (2020). Diagnosis of an unusual case of idiopathic mediastinal fibrosis by 18F-FDG PET/CT. SHILAP Revista de lepidopterología. 15(4). 435–436.
5.
Chatrenet, Antoine, Daniele Penna, Ettore Pelosi, et al.. (2019). Positron Emission Tomography Can Support the Diagnosis of Dialysis-Related Amyloidosis. Journal of Clinical Medicine. 8(9). 1494–1494. 3 indexed citations
6.
Penna, Daniele, Natale Quartuccio, C. Testa, et al.. (2017). A Rare Case of Hibernoma Occasionally Identified by 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in a Patient with Lung Cancer. Cureus. 9(3). e1124–e1124. 1 indexed citations
7.
Ardito, Arianna, Ettore Pelosi, Barbara Zaggia, et al.. (2015). 18F-FDG PET/CT in the post-operative monitoring of patients with adrenocortical carcinoma. European Journal of Endocrinology. 173(6). 749–756. 11 indexed citations
8.
Carbone, Roberto G., Daniele Penna, Robert P. Baughman, & Elyse E. Lower. (2014). Accuracy of Serial PET-CT Imaging in Systemic Sarcoidosis. Journal of Clinical Imaging Science. 4. 21–21. 5 indexed citations
9.
Cardinale, L., et al.. (2012). Diffuse neoplasms of the pleural serosa. La radiologia medica. 118(3). 366–378. 6 indexed citations
10.
Billè, Andrea, Lawrence Okiror, Andrea Skanjeti, et al.. (2012). Evaluation of integrated positron emission tomography and computed tomography accuracy in detecting lymph node metastasis in patients with adenocarcinoma vs squamous cell carcinoma. European Journal of Cardio-Thoracic Surgery. 43(3). 574–579. 14 indexed citations
11.
Billè, Andrea, Lawrence Okiror, Andrea Skanjeti, et al.. (2012). The Prognostic Significance of Maximum Standardized Uptake Value of Primary Tumor in Surgically Treated Non–Small-Cell Lung Cancer Patients: Analysis of 413 Cases. Clinical Lung Cancer. 14(2). 149–156. 22 indexed citations
12.
Skanjeti, Andrea, Daniele Penna, Anastasios Douroukas, et al.. (2012). PET in the clinical work-up of patients with spondylodiscitis: a new tool for the clinician?. PubMed. 56(6). 569–76. 26 indexed citations
13.
Piccoli, Giorgina Barbara, Vincenzo Arena, Valentina Consiglio, et al.. (2011). Positron emission tomography in the diagnostic pathway for intracystic infection in adpkd and "cystic" kidneys. a case series. BMC Nephrology. 12(1). 48–48. 30 indexed citations
14.
Pelosi, Ettore, Andrea Skanjeti, Daniele Penna, & Vincenzo Arena. (2011). Role of integrated PET/CT with [18F]-FDG in the management of patients with fever of unknown origin: a single-centre experience. La radiologia medica. 116(5). 809–820. 36 indexed citations
15.
Pelosi, Ettore, Daniele Penna, Anastasios Douroukas, et al.. (2011). Bone marrow disease detection with FDG-PET/CT and bone marrow biopsy during the staging of malignant lymphoma: results from a large multicentre study.. PubMed. 55(4). 469–75. 60 indexed citations
16.
Penna, Daniele, T. Varetto, Désirèe Deandreis, Giancarlo Castellano, & G Bisi. (2009). Dual-Phase F-18 FDG PET/CT Scanning in the Suspicion of Relapse of Ovarian Neoplasia. Clinical Nuclear Medicine. 34(2). 111–113. 3 indexed citations
19.
Pelosi, Ettore, Daniele Penna, Désirèe Deandreis, et al.. (2008). FDG-PET in the detection of bone marrow disease in Hodgkin's disease and aggressive non-Hodgkin's lymphoma and its impact on clinical management.. PubMed. 52(1). 9–16. 44 indexed citations
20.
Penna, Daniele. (1991). Biopsia renal percutanea.

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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