Massimo Ippolito

1.5k total citations
67 papers, 896 citations indexed

About

Massimo Ippolito is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Massimo Ippolito has authored 67 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Massimo Ippolito's work include Medical Imaging Techniques and Applications (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Manufacturing Process and Optimization (7 papers). Massimo Ippolito is often cited by papers focused on Medical Imaging Techniques and Applications (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Manufacturing Process and Optimization (7 papers). Massimo Ippolito collaborates with scholars based in Italy, United States and Greece. Massimo Ippolito's co-authors include G. Russo, Alessandro Stefano, M.G. Sabini, Albert Comelli, Sebastiano Cosentino, Francesco Di Raimondo, Annalisa Chiarenza, Nunziatina Laura Parrinello, Calogero Vetro and Alessandra Romano and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Massimo Ippolito

61 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Ippolito Italy	21	365	222	148	111	110	67	896
Qi Song China	21	584 1.6×	207 0.9×	190 1.3×	125 1.1×	54 0.5×	61	1.4k
Li Lin China	19	299 0.8×	263 1.2×	317 2.1×	48 0.4×	46 0.4×	64	1.5k
Jonathan L. Jesneck United States	18	278 0.8×	235 1.1×	147 1.0×	201 1.8×	74 0.7×	36	1.4k
Elodie Pronier United States	13	419 1.1×	122 0.5×	194 1.3×	68 0.6×	136 1.2×	17	1.2k
Hesham Elhalawani United States	21	627 1.7×	433 2.0×	532 3.6×	75 0.7×	99 0.9×	93	1.5k
François Bidault France	22	523 1.4×	482 2.2×	588 4.0×	95 0.9×	43 0.4×	86	1.7k
Junlin Yi China	19	489 1.3×	502 2.3×	378 2.6×	33 0.3×	62 0.6×	136	1.6k
Jinkoo Kim United States	22	638 1.7×	512 2.3×	133 0.9×	62 0.6×	119 1.1×	42	1.4k
Sweet Ping Ng United States	17	261 0.7×	232 1.0×	325 2.2×	121 1.1×	41 0.4×	84	862
Chuan-Miao Xie China	15	309 0.8×	202 0.9×	208 1.4×	40 0.4×	24 0.2×	29	758

Countries citing papers authored by Massimo Ippolito

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Ippolito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Ippolito

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

Papacharalampopoulos, Alexios, et al.. (2025). On a heuristic evaluation system for Industry 5.0 with respect to interventions: the case of training in businesses. Procedia CIRP. 132. 122–128. 1 indexed citations

Duminuco, Andrea, Annalisa Chiarenza, Giovanna Motta, et al.. (2024). Baseline IgM Amounts Can Identify Patients with Poor Outcomes: Results from a Real-Life Single-Center Study on Classical Hodgkin Lymphoma. Cancers. 16(4). 826–826. 1 indexed citations

Stefano, Alessandro, Albert Comelli, Giorgio Ivan Russo, et al.. (2024). A Robust [18F]-PSMA-1007 Radiomics Ensemble Model for Prostate Cancer Risk Stratification. Journal of Imaging Informatics in Medicine. 38(3). 1388–1402. 4 indexed citations

Russo, G., Fabiano Bini, Albert Comelli, et al.. (2023). A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in 18F-PSMA-1007 PET Images of Patients Affected by Prostate Cancer. Diagnostics. 13(24). 3640–3640. 12 indexed citations

Colaci, Michele, et al.. (2023). Pancreatic Neuroendocrine Tumor (Pan-NET) Presented by Abdominal Pain: A Case Report and Literature Review. Journal of Clinical Medicine. 12(20). 6617–6617.

Benfante, Viviana, Alessandro Stefano, Albert Comelli, et al.. (2022). A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models. Journal of Imaging. 8(4). 92–92. 21 indexed citations

Palmisciano, Paolo, Christian Ogasawara, Gianluca Ferini, et al.. (2022). The Role of [68Ga]Ga-DOTA-SSTR PET Radiotracers in Brain Tumors: A Systematic Review of the Literature and Ongoing Clinical Trials. Cancers. 14(12). 2925–2925. 25 indexed citations

Pepe, Pietro, et al.. (2022). Detection Rate of ⁶⁸Ga-PSMA PET/CT vs. mpMRI Targeted Biopsy for Clinically Significant Prostate Cancer. Anticancer Research. 42(6). 3011–3015. 28 indexed citations

Colaci, Michele, et al.. (2022). Use of 18F-fluorodeoxyglucose positron emission tomography-computed tomography in patients affected by polymyalgia rheumatica and persistent increase of acute phase reactants. Frontiers in Medicine. 9. 1042620–1042620. 6 indexed citations

10.

Ippolito, Massimo, et al.. (2021). A Discrete Event Simulation Based Approach for Digital Twin Implementation. IFAC-PapersOnLine. 54(1). 414–419. 13 indexed citations

11.

Umana, Giuseppe Emmanuele, Gianluca Scalia, Atul Vats, et al.. (2021). Primary Extracranial Meningiomas of the Head and Neck. Life. 11(9). 942–942. 15 indexed citations

12.

Scalia, Gianluca, Massimo Ippolito, Sebastiano Cosentino, et al.. (2021). 68Ga-DOTATOC PET/CT Follow Up after Single or Hypofractionated Gamma Knife ICON Radiosurgery for Meningioma Patients. Brain Sciences. 11(3). 375–375. 20 indexed citations

13.

Stefano, Alessandro, Albert Comelli, Valentina Bravatà, et al.. (2020). A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method. BMC Bioinformatics. 21(S8). 325–325. 36 indexed citations

14.

Comelli, Albert, Samuel Bignardi, Alessandro Stefano, et al.. (2020). Development of a new fully three-dimensional methodology for tumours delineation in functional images. Computers in Biology and Medicine. 120. 103701–103701. 24 indexed citations

15.

Romano, Alessandra, Nunziatina Laura Parrinello, Calogero Vetro, et al.. (2018). Prognostic meaning of neutrophil to lymphocyte ratio (NLR) and lymphocyte to monocyte ration (LMR) in newly diagnosed Hodgkin lymphoma patients treated upfront with a PET-2 based strategy. Annals of Hematology. 97(6). 1009–1018. 41 indexed citations

16.

Rundo, Leonardo, Alessandro Stefano, Carmelo Militello, et al.. (2017). A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning. Computer Methods and Programs in Biomedicine. 144. 77–96. 37 indexed citations

17.

Stefano, Alessandro, Salvatore Vitabile, G. Russo, et al.. (2016). An enhanced random walk algorithm for delineation of head and neck cancers in PET studies. Medical & Biological Engineering & Computing. 55(6). 897–908. 27 indexed citations

18.

Banna, Giuseppe Luigi, G. Russo, Paolo Vigneri, et al.. (2016). Predictive and Prognostic Value of Early Disease Progression by PET Evaluation in Advanced Non-Small Cell Lung Cancer. Oncology. 92(1). 39–47. 18 indexed citations

19.

Banna, Giuseppe Luigi, Helga Lipari, M Nicolosi, et al.. (2013). A three-drug induction chemotherapy with gemcitabine, carboplatin, and paclitaxel for stage III non-small cell lung cancer. Medical Oncology. 30(2). 533–533. 7 indexed citations

20.

Tiseo, Marcello, Massimo Ippolito, P. Spadaro, et al.. (2013). Predictive and prognostic value of early response assessment using 18FDG-PET in advanced non-small cell lung cancer patients treated with erlotinib. Cancer Chemotherapy and Pharmacology. 73(2). 299–307. 27 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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