Angela Spanu

2.2k total citations
104 papers, 1.3k citations indexed

About

Angela Spanu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Angela Spanu has authored 104 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Pulmonary and Respiratory Medicine and 21 papers in Oncology. Recurrent topics in Angela Spanu's work include Medical Imaging Techniques and Applications (32 papers), Radiopharmaceutical Chemistry and Applications (23 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Angela Spanu is often cited by papers focused on Medical Imaging Techniques and Applications (32 papers), Radiopharmaceutical Chemistry and Applications (23 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Angela Spanu collaborates with scholars based in Italy, France and United States. Angela Spanu's co-authors include Susanna Nuvoli, Giuseppe Madeddu, Orazio Schillaci, Francesca Chessa, Barbara Palumbo, Giordano Madeddu, Daniela Sanna, Mario Luca Fravolini, Francesco Bianconi and Antonio Falchi and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of Oncology and Sensors.

In The Last Decade

Angela Spanu

99 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Spanu Italy 21 676 339 298 213 207 104 1.3k
Ho‐Chun Song South Korea 22 546 0.8× 300 0.9× 191 0.6× 76 0.4× 171 0.8× 97 1.3k
Mark A. Nathan United States 22 513 0.8× 659 1.9× 276 0.9× 103 0.5× 507 2.4× 52 1.5k
I. Resche France 16 780 1.2× 378 1.1× 518 1.7× 245 1.2× 363 1.8× 26 1.3k
Roberta Danieli Italy 24 815 1.2× 429 1.3× 307 1.0× 119 0.6× 240 1.2× 74 1.7k
Gianpiero Manca Italy 21 217 0.3× 254 0.7× 318 1.1× 163 0.8× 393 1.9× 56 1.1k
Pierpaolo Alongi Italy 23 609 0.9× 435 1.3× 179 0.6× 119 0.6× 211 1.0× 92 1.3k
Giovanni Storto Italy 22 553 0.8× 246 0.7× 225 0.8× 129 0.6× 292 1.4× 76 1.3k
Hayato Kaida Japan 23 991 1.5× 989 2.9× 269 0.9× 208 1.0× 430 2.1× 118 2.2k
H.-J. Biersack Germany 20 579 0.9× 225 0.7× 219 0.7× 78 0.4× 357 1.7× 80 1.4k
C.L. Maini Italy 21 695 1.0× 528 1.6× 547 1.8× 88 0.4× 370 1.8× 70 1.7k

Countries citing papers authored by Angela Spanu

Since Specialization
Citations

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

Fields of papers citing papers by Angela Spanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Spanu

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Spanu. A scholar is included among the top collaborators of Angela Spanu 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 Angela Spanu. Angela Spanu 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.
Marongiu, Andrea, Angela Spanu, Barbara Palumbo, et al.. (2025). Artificial Intelligence in PET Imaging for Alzheimer’s Disease: A Narrative Review. Brain Sciences. 15(10). 1038–1038.
3.
Marongiu, Andrea, et al.. (2024). The Role of Risk Factors for the Progression of Patients with T1b-T2 Papillary Thyroid Carcinoma (PC) during Long-Term Follow-Up. Journal of Clinical Medicine. 13(18). 5373–5373.
4.
Bianconi, Francesco, Mario Luca Fravolini, Luca Filippi, et al.. (2024). Radiomics Features from Positron Emission Tomography with [18F] Fluorodeoxyglucose Can Help Predict Cervical Nodal Status in Patients with Head and Neck Cancer. Cancers. 16(22). 3759–3759. 1 indexed citations
6.
Feo, Maria Silvia De, Viviana Frantellizzi, Matteo Bauckneht, et al.. (2023). The DASciS Software for BSI Calculation as a Valuable Prognostic Tool in mCRPC Treated with 223RaCl2: A Multicenter Italian Study. Biomedicines. 11(4). 1103–1103. 3 indexed citations
7.
Feo, Maria Silvia De, Viviana Frantellizzi, Nicoletta Locuratolo, et al.. (2023). Role of Functional Neuroimaging with 123I-MIBG and 123I-FP-CIT in De Novo Parkinson’s Disease: A Multicenter Study. Life. 13(8). 1786–1786. 2 indexed citations
10.
Feo, Maria Silvia De, Andrea Marongiu, Viviana Frantellizzi, et al.. (2023). Qualitative and Semiquantitative Parameters of 18F-FDG-PET/CT as Predictors of Malignancy in Patients with Solitary Pulmonary Nodule. Cancers. 15(4). 1000–1000. 3 indexed citations
11.
Marongiu, Andrea, et al.. (2022). A Comparative Follow-Up Study of Patients with Papillary Thyroid Carcinoma Associated or Not with Graves’ Disease. Diagnostics. 12(11). 2801–2801. 7 indexed citations
12.
Pacilio, Massimiliano, Miriam Conte, Viviana Frantellizzi, et al.. (2022). Personalized Dosimetry in the Context of Radioiodine Therapy for Differentiated Thyroid Cancer. Diagnostics. 12(7). 1763–1763. 12 indexed citations
13.
Bianconi, Francesco, Isabella Palumbo, Mario Luca Fravolini, et al.. (2022). Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans. Sensors. 22(13). 5044–5044. 11 indexed citations
14.
Nuvoli, Susanna, Francesco Bianconi, Andrea Marongiu, et al.. (2022). Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18F-FDG PET/CT and Automated Classifiers. Diagnostics. 12(10). 2425–2425. 5 indexed citations
15.
Filippi, Luca, Francesco Bianconi, Orazio Schillaci, Angela Spanu, & Barbara Palumbo. (2022). The Role and Potential of 18F-FDG PET/CT in Malignant Melanoma: Prognostication, Monitoring Response to Targeted and Immunotherapy, and Radiomics. Diagnostics. 12(4). 929–929. 26 indexed citations
17.
Bianconi, Francesco, Mario Luca Fravolini, Isabella Palumbo, et al.. (2021). Impact of Lesion Delineation and Intensity Quantisation on the Stability of Texture Features from Lung Nodules on CT: A Reproducible Study. Diagnostics. 11(7). 1224–1224. 8 indexed citations
18.
Palumbo, Barbara, Francesco Bianconi, Isabella Palumbo, et al.. (2020). Value of Shape and Texture Features from 18F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation. Diagnostics. 10(9). 696–696. 33 indexed citations
19.
Schillaci, Orazio, Angela Spanu, Luca Filippi, et al.. (2009). SPECT/CT with a hybrid imaging system in the study of lower gastrointestinal bleeding with technetium-99m red blood cells. Cineca Institutional Research Information System (Tor Vergata University). 15 indexed citations
20.
Spanu, Angela, G Dettori, Susanna Nuvoli, et al.. (2001). 99mTc-tetrofosmin SPET in the detection of both primary breast cancer and axillary lymph node metastasis. European Journal of Nuclear Medicine and Molecular Imaging. 28(12). 1781–1794. 20 indexed citations

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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