Diego Palumbo

2.3k total citations · 1 hit paper
85 papers, 1.4k citations indexed

About

Diego Palumbo is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Diego Palumbo has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 32 papers in Pulmonary and Respiratory Medicine and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Diego Palumbo's work include Pancreatic and Hepatic Oncology Research (27 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Pancreatitis Pathology and Treatment (13 papers). Diego Palumbo is often cited by papers focused on Pancreatic and Hepatic Oncology Research (27 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Pancreatitis Pathology and Treatment (13 papers). Diego Palumbo collaborates with scholars based in Italy, United Kingdom and United States. Diego Palumbo's co-authors include Francesco De Cobelli, Elisabetta Bertol, Francesco Mari, Fabio Vaiano, Alberto Zangrillo, Massimo Falconi, Jennifer Paola Pascali, Valeria Catalani, Stefano Partelli and Francesco Giganti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Diego Palumbo

78 papers receiving 1.4k 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.

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

2020 284 citations Di Dong, Diego Palumbo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Palumbo Italy	19	492	465	358	236	208	85	1.4k
Ivar S. Nordrum Norway	23	169 0.3×	268 0.6×	278 0.8×	387 1.6×	51 0.2×	60	1.4k
Maurizio Sessa Denmark	21	50 0.1×	216 0.5×	96 0.3×	273 1.2×	240 1.2×	96	1.3k
Seung Hun Jang South Korea	22	106 0.2×	872 1.9×	367 1.0×	155 0.7×	18 0.1×	140	1.6k
Francisco Batel Marques Portugal	22	82 0.2×	113 0.2×	231 0.6×	212 0.9×	271 1.3×	91	1.5k
Yan Ding China	18	224 0.5×	126 0.3×	273 0.8×	126 0.5×	5 0.0×	58	1.4k
Bridget N. Fahy United States	22	42 0.1×	382 0.8×	942 2.6×	539 2.3×	23 0.1×	63	1.9k
Vickie R. Shannon United States	23	50 0.1×	588 1.3×	626 1.7×	160 0.7×	16 0.1×	62	1.4k
Hong Yu China	19	203 0.4×	319 0.7×	155 0.4×	187 0.8×	3 0.0×	92	1.5k
Eric Bernicker United States	16	127 0.3×	480 1.0×	505 1.4×	104 0.4×	17 0.1×	77	1.2k
Joseph Lindsay United States	30	1.0k 2.0×	754 1.6×	28 0.1×	1.8k 7.7×	66 0.3×	119	2.9k

Countries citing papers authored by Diego Palumbo

Since Specialization

Citations

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

Fields of papers citing papers by Diego Palumbo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Palumbo

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Palumbo. A scholar is included among the top collaborators of Diego Palumbo 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 Diego Palumbo. Diego Palumbo 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

Belfiori, Giulio, Domenico Tamburrino, Giulia Gasparini, et al.. (2025). Anatomically resectable versus biologically borderline resectable pancreatic cancer definition: refining the border beyond anatomical criteria and biological aggressiveness. BJS Open. 9(3). 1 indexed citations

Huang, Xiaoying, Mengjie Fang, C. Y. Hu, et al.. (2024). The application of artificial intelligence in upper gastrointestinal cancers. SHILAP Revista de lepidopterología. 5(2). 113–131. 4 indexed citations

Savi, Annarita, Patrizia Magnani, Carla Canevari, et al.. (2024). Radioembolization for Hepatocellular Carcinoma: a Comparison on Dual-phase Cone-beam CT, Contrast-enhanced CT (CECT) and 99mTc-macroaggregated albumin-SPECT/CT in predicting final distribution volumes and dosimetry of the post-embolization 90Y PET/CT. La radiologia medica. 130(4). 474–485. 1 indexed citations

Vetrugno, Luigi, Cristian Deana, Nadia Castaldo, et al.. (2023). Barotrauma during Noninvasive Respiratory Support in COVID-19 Pneumonia Outside ICU: The Ancillary COVIMIX-2 Study. Journal of Clinical Medicine. 12(11). 3675–3675. 4 indexed citations

Belletti, Alessandro, Ottavia Pallanch, Francesco De Cobelli, et al.. (2023). Clinical use of Macklin-like radiological sign (Macklin effect): A systematic review. Respiratory Medicine. 210. 107178–107178. 8 indexed citations

Ratti, Francesca, Federica Cipriani, Carla Canevari, et al.. (2023). Single-Center Retrospective Study Comparing Double Vein Embolization via a Trans-Jugular Approach with Liver Venous Deprivation via a Trans-Hepatic Approach. CardioVascular and Interventional Radiology. 46(12). 1703–1712. 5 indexed citations

D’Amico, Ferdinando, Mariangela Allocca, Diego Palumbo, et al.. (2023). Ustekinumab as Induction and Maintenance Therapy in Patients with Inflammatory Bowel Disease and Type II Autoimmune Pancreatitis: Report of Two Cases. Journal of Crohn s and Colitis. 17(9). 1552–1554. 4 indexed citations

Batani, Veronica, Marco Lanzillotta, Federica Pedica, et al.. (2023). Association of IgG4-related disease and systemic rheumatic disorders. European Journal of Internal Medicine. 111. 63–68. 7 indexed citations

Aleotti, Francesca, Stefano Crippa, Giulio Belfiori, et al.. (2022). Pancreatic resections for benign intraductal papillary mucinous neoplasms: Collateral damages from friendly fire. Surgery. 172(4). 1202–1209. 10 indexed citations

10.

Pecorelli, Nicolò, Diego Palumbo, Giovanni Guarneri, et al.. (2022). Preoperative CT image analysis to improve risk stratification for clinically relevant pancreatic fistula after distal pancreatectomy. British journal of surgery. 110(8). 891–895. 5 indexed citations

11.

Rimini, Margherita, Stephanie Steidler, Diego Palumbo, et al.. (2022). Combined Loco-Regional and Systemic Treatment Strategies for Hepatocellular Carcinoma: From Basics to New Developments. CardioVascular and Interventional Radiology. 46(2). 175–186. 4 indexed citations

12.

Paternoster, Gianluca, Enrico Scarano, Diego Palumbo, et al.. (2022). Macklin effect on baseline chest CT scan accurately predicts barotrauma in COVID-19 patients. Respiratory Medicine. 197. 106853–106853. 16 indexed citations

13.

Partelli, Stefano, Valentina Andreasi, Ilaria Marinoni, et al.. (2022). Preoperative assessment of microvessel density in nonfunctioning pancreatic neuroendocrine tumors (NF-PanNETs). Surgery. 172(4). 1236–1244. 16 indexed citations

14.

Mori, Martina, Diego Palumbo, Francesca Muffatti, et al.. (2022). Prediction of the characteristics of aggressiveness of pancreatic neuroendocrine neoplasms (PanNENs) based on CT radiomic features. European Radiology. 33(6). 4412–4421. 17 indexed citations

15.

Palumbo, Diego, Domenico Tamburrino, Stefano Partelli, et al.. (2021). Before sentinel bleeding: early prediction of postpancreatectomy hemorrhage (PPH) with a CT-based scoring system. European Radiology. 31(9). 6879–6888. 8 indexed citations

16.

Palumbo, Diego, Corrado Campochiaro, Alessandro Belletti, et al.. (2021). Pneumothorax/pneumomediastinum in non-intubated COVID-19 patients: Differences between first and second Italian pandemic wave. European Journal of Internal Medicine. 88. 144–146. 25 indexed citations

17.

Marino, Rebecca, Francesca Ratti, Diego Palumbo, et al.. (2021). The Two-Step Treatment for Giant Hepatic Hemangiomas. Journal of Clinical Medicine. 10(19). 4381–4381. 9 indexed citations

18.

Mori, Martina, Diego Palumbo, Rebecca De Lorenzo, et al.. (2021). Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry. Physica Medica. 85. 63–71. 4 indexed citations

19.

Centonze, Maurizio, Stephanie Steidler, F. Spagnolli, et al.. (2020). Cardiac-CT and cardiac-MR cost-effectiveness: a literature review. La radiologia medica. 125(11). 1200–1207. 13 indexed citations

20.

Bertol, Elisabetta, Maria Grazia Di Milia, Francesco Mari, et al.. (2018). Proactive drugs in DFSA cases: Toxicological findings in an eight-years study. Forensic Science International. 291. 207–215. 46 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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