Giulia Besutti

1.5k total citations · 1 hit paper
81 papers, 967 citations indexed

About

Giulia Besutti is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Giulia Besutti has authored 81 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 20 papers in Epidemiology and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Giulia Besutti's work include HIV-related health complications and treatments (13 papers), Vasculitis and related conditions (10 papers) and Pneumocystis jirovecii pneumonia detection and treatment (9 papers). Giulia Besutti is often cited by papers focused on HIV-related health complications and treatments (13 papers), Vasculitis and related conditions (10 papers) and Pneumocystis jirovecii pneumonia detection and treatment (9 papers). Giulia Besutti collaborates with scholars based in Italy, Canada and United States. Giulia Besutti's co-authors include Guido Ligabue, Giovanni Guaraldi, Paolo Giorgi Rossi, Pierpaolo Pattacini, Marco Massari, Stefania Croci, Stefano Zona, Carlo Salvarani, Lucia Spaggiari and Valentina Iotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Giulia Besutti

75 papers receiving 949 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rehabilitation Interventions for Post-Acute COVID-19 Syndrome: A Systematic Review

2022 129 citations Stefania Fugazzaro, Stefania Croci et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Besutti Italy	19	242	241	206	179	140	81	967
Francesco Gavelli Italy	19	278 1.1×	295 1.2×	92 0.4×	124 0.7×	150 1.1×	62	953
Ahmed Elgebaly Egypt	16	138 0.6×	94 0.4×	132 0.6×	64 0.4×	38 0.3×	49	871
Trevor L. Nydam United States	17	178 0.7×	140 0.6×	144 0.7×	259 1.4×	97 0.7×	81	1.0k
Michimasa Fujiogi Japan	19	345 1.4×	503 2.1×	90 0.4×	171 1.0×	253 1.8×	81	1.2k
Rade Tomic United States	15	100 0.4×	553 2.3×	94 0.5×	111 0.6×	37 0.3×	50	983
Hemang Yadav United States	18	324 1.3×	461 1.9×	144 0.7×	146 0.8×	142 1.0×	64	1.2k
Bindu Akkanti United States	14	87 0.4×	195 0.8×	197 1.0×	365 2.0×	121 0.9×	80	898
Roberto Tonelli Italy	23	145 0.6×	1.1k 4.4×	177 0.9×	187 1.0×	104 0.7×	93	1.4k
Prosanto Chaudhury Canada	22	389 1.6×	165 0.7×	94 0.5×	101 0.6×	74 0.5×	85	1.4k
F. Latif United States	19	123 0.5×	181 0.8×	53 0.3×	155 0.9×	178 1.3×	105	1.8k

Countries citing papers authored by Giulia Besutti

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Besutti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Besutti

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

All Works

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20 of 20 papers shown

Gallucci, Giuseppina, Alessandro Navazio, Fabio Maria Turazza, et al.. (2025). Atherosclerosis and the Bidirectional Relationship Between Cancer and Cardiovascular Disease: From Bench to Bedside, Part 2 Management. International Journal of Molecular Sciences. 26(1). 334–334. 3 indexed citations

Besutti, Giulia, Chiara Marvisi, Francesco Muratore, & Lorenzo Spaggiari. (2024). The role of sacro-iliac joint magnetic resonance imaging in the diagnosis of axial spondyloarthritis: focus on differential diagnosis in women. SHILAP Revista de lepidopterología. 76(3). 1 indexed citations

Muratore, Francesco, Chiara Marvisi, Giulia Cassone, et al.. (2024). Treatment of giant cell arteritis with ultra-short glucocorticoids and tocilizumab: results from the extension of the TOPAZIO study. Lara D. Veeken. 64(5). 3057–3062. 3 indexed citations

Zizzo, Maurizio, Andrea Morini, Magda Zanelli, et al.. (2024). Short-term outcomes in obese and non-obese patients undergoing transperitoneal laparoscopic adrenalectomy for benign or malignant adrenal diseases: an updated systematic review and meta-analysis. Chinese Clinical Oncology. 13(5). 67–67. 1 indexed citations

Pecchi, Annarita, Giulia Besutti, Laura Cortesi, et al.. (2024). DCE-MRI Radiomic analysis in triple negative ductal invasive breast cancer. Comparison between BRCA and not BRCA mutated patients: Preliminary results. Magnetic Resonance Imaging. 113. 110214–110214. 3 indexed citations

Botti, A., Marco Bertolini, Andrea Nitrosi, et al.. (2023). Machine and Deep Learning Algorithms for COVID-19 Mortality Prediction Using Clinical and Radiomic Features. Electronics. 12(18). 3878–3878. 1 indexed citations

Muratore, Francesco, Chiara Marvisi, Stefania Croci, et al.. (2023). Effectiveness and safety of a 26-week taper regimen of glucocorticoid in GCA patients: Results from a prospective cohort study. Seminars in Arthritis and Rheumatism. 64. 152351–152351. 3 indexed citations

Cassone, Giulia, Giovanni Dolci, Giulia Besutti, et al.. (2022). Predictive factors of clinical outcomes in patients with COVID-19 treated with tocilizumab: A monocentric retrospective analysis. PLoS ONE. 17(1). e0262908–e0262908. 2 indexed citations

Iori, Mauro, Andrea Nitrosi, Giulia Besutti, et al.. (2022). Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios. Applied Sciences. 12(8). 3903–3903. 12 indexed citations

10.

Besutti, Giulia, Olivera Djurić, Marta Ottone, et al.. (2022). Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study. PLoS ONE. 17(6). e0270111–e0270111. 1 indexed citations

11.

Besutti, Giulia, Marta Ottone, Lucia Spaggiari, et al.. (2022). Follow-Up CT Patterns of Residual Lung Abnormalities in Severe COVID-19 Pneumonia Survivors: A Multicenter Retrospective Study. Tomography. 8(3). 1184–1195. 18 indexed citations

12.

Djurić, Olivera, Giulia Besutti, Marta Ottone, et al.. (2022). Clinical and imaging characteristics of patients with COVID-19 predicting hospital readmission after emergency department discharge: a single-centre cohort study in Italy. BMJ Open. 12(4). e052665–e052665. 5 indexed citations

13.

Besutti, Giulia, Massimo Pellegrini, Marta Ottone, et al.. (2022). Modifications of Chest CT Body Composition Parameters at Three and Six Months after Severe COVID-19 Pneumonia: A Retrospective Cohort Study. Nutrients. 14(18). 3764–3764. 3 indexed citations

14.

Bardoscia, Lilia, Giulia Besutti, Massimo Pellegrini, et al.. (2022). Impact of low skeletal muscle mass and quality on clinical outcomes in patients with head and neck cancer undergoing (chemo)radiation. Frontiers in Nutrition. 9. 994499–994499. 10 indexed citations

15.

Surov, Alexey, Giulia Besutti, Massimo Pellegrini, et al.. (2022). Prognostic Role of the Pectoralis Musculature in Patients with COVID-19. A Multicenter Study. Academic Radiology. 30(1). 77–82. 18 indexed citations

16.

Besutti, Giulia, Olivera Djurić, Laura Bonvicini, et al.. (2021). The Effect of Diffuse Liver Diseases on the Occurrence of Liver Metastases in Cancer Patients: A Systematic Review and Meta-Analysis. Cancers. 13(9). 2246–2246. 5 indexed citations

17.

Besutti, Giulia, Massimo Pellegrini, Marta Ottone, et al.. (2021). The impact of chest CT body composition parameters on clinical outcomes in COVID-19 patients. PLoS ONE. 16(5). e0251768–e0251768. 28 indexed citations

18.

Ardakani, Ali Abbasian, Robert M. Kwee, Mohammad Mirza‐Aghazadeh‐Attari, et al.. (2021). A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study. Pattern Recognition Letters. 152. 42–49. 11 indexed citations

19.

Besutti, Giulia, Fulvio Massaro, Luca Braglia, et al.. (2021). Prognostic Impact of Muscle Quantity and Quality and Fat Distribution in Diffuse Large B-Cell Lymphoma Patients. Frontiers in Nutrition. 8. 620696–620696. 22 indexed citations

20.

Fiocchi, Federica, Giulia Besutti, Elisabetta Petrella, et al.. (2020). MRI of placenta accreta: diagnostic accuracy and impact of interventional radiology on foetal–maternal delivery outcomes in high-risk women. British Journal of Radiology. 93(1114). 20200267–20200267. 8 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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