Gino Mongelluzzo

547 total citations · 1 hit paper
15 papers, 358 citations indexed

About

Gino Mongelluzzo is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Gino Mongelluzzo has authored 15 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Gino Mongelluzzo's work include Glioma Diagnosis and Treatment (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Gino Mongelluzzo is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Gino Mongelluzzo collaborates with scholars based in United States. Gino Mongelluzzo's co-authors include Jonathan D Suever, Mohammad R. Arbabshirani, Gregory J. Moore, Aalpen A. Patel, Brandon K. Fornwalt, Keith A. Cauley, Samuel W. Fielden, Ajay Malhotra, Christopher A. Schutt and Phoebe Kuo and has published in prestigious journals such as Neurology, The Laryngoscope and Neuro-Oncology.

In The Last Decade

Gino Mongelluzzo

12 papers receiving 351 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.

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

2018 293 citations Mohammad R. Arbabshirani, Brandon K. Fornwalt et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gino Mongelluzzo United States	6	148	124	116	85	78	15	358
Danfeng Guo China	7	150 1.0×	72 0.6×	132 1.1×	78 0.9×	29 0.4×	17	337
Stefan Winzeck United Kingdom	11	117 0.8×	147 1.2×	141 1.2×	37 0.4×	35 0.4×	22	393
Ajay Hegde India	12	176 1.2×	52 0.4×	127 1.1×	34 0.4×	30 0.4×	55	375
Takahiro Nakao Japan	10	105 0.7×	219 1.8×	40 0.3×	107 1.3×	76 1.0×	34	460
Lucas A. Ramos Netherlands	14	104 0.7×	80 0.6×	271 2.3×	68 0.8×	40 0.5×	19	547
Mutlu Demirer United States	8	46 0.3×	183 1.5×	57 0.5×	75 0.9×	105 1.3×	19	343
John Ryu United States	5	45 0.3×	111 0.9×	49 0.4×	52 0.6×	59 0.8×	8	213
Thomas L. A. van den Heuvel Netherlands	7	68 0.5×	88 0.7×	42 0.4×	92 1.1×	32 0.4×	10	331
Mohammad Shafie United States	8	169 1.1×	59 0.5×	142 1.2×	43 0.5×	12 0.2×	20	355
Monika Turk Slovenia	12	121 0.8×	148 1.2×	106 0.9×	40 0.5×	23 0.3×	15	537

Countries citing papers authored by Gino Mongelluzzo

Since Specialization

Citations

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

Fields of papers citing papers by Gino Mongelluzzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Mongelluzzo

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

All Works

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15 of 15 papers shown

Mongelluzzo, Gino, et al.. (2024). Apex Nasi: What’s Happening near the Tip of the Nose?. Neurographics. 14(2). 132–150.

Mongelluzzo, Gino, et al.. (2024). Imaging for larynx cancer assessment. Operative Techniques in Otolaryngology-Head and Neck Surgery. 35(2). 141–148.

Barber, Sean M., Taylor Reardon, Gino Mongelluzzo, et al.. (2022). Full Endoscopic Repair of Spontaneous Ventral Cerebrospinal Fluid Leaks in the Spine: Systematic Review of Surgical Treatment Options and Illustrative Case. World Neurosurgery. 168. e578–e586. 5 indexed citations

Gatson, Na Tosha, et al.. (2021). Secondary Normal-Pressure Hydrocephalus in Rheumatoid Meningitis. Case Reports in Neurology. 13(2). 434–440. 4 indexed citations

Mongelluzzo, Gino, et al.. (2021). Gray-Scale Inversion on High Resolution Computed Tomography of the Temporal Bone: An Observational Study. Annals of Otology Rhinology & Laryngology. 130(10). 1125–1131. 5 indexed citations

Gatson, Na Tosha, Yazmín Odia, Gino Mongelluzzo, et al.. (2020). Early imaging marker of progressing glioblastoma: a window of opportunity. Journal of Neuro-Oncology. 148(3). 629–640. 5 indexed citations

Gatson, Na Tosha, Joseph Vadakara, Gino Mongelluzzo, et al.. (2020). Case series review of neuroradiologic changes associated with immune checkpoint inhibitor therapy. Neuro-Oncology Practice. 8(3). 247–258. 2 indexed citations

Mongelluzzo, Gino, et al.. (2020). Case Report of Immuno-Oncotherapy (IO) Provoked Encephalitis Mimicking Brain Metastasis in a Patient with History of Traumatic Brain Injury. World Neurosurgery. 139. 483–487. 4 indexed citations

Mongelluzzo, Gino, et al.. (2019). Primary CNS posttransplant lymphoproliferative disease (PCNS-PTLD): Diagnosis, minimal treatment toxicity, and surveillance in renal transplant patients (P1.6-015). Neurology. 92(15_supplement). 1 indexed citations

10.

Gatson, Na Tosha, et al.. (2019). NCMP-16. IMMUNO-ONCOTHERAPY (IO) PROVOKED ENCEPHALITIS AND METASTATIC MIMICRY: PATIENT WITH HISTORY OF RENAL CELL CARCINOMA ON IO PRESENTS WITH SEIZURE, FIELD CUT, AND BRAIN MASS. Neuro-Oncology. 21(Supplement_6). vi182–vi182.

11.

Cauley, Keith A., Gino Mongelluzzo, & Samuel W. Fielden. (2019). Automated Estimation of Acute Infarct Volume from Noncontrast Head CT Using Image Intensity Inhomogeneity Correction. International Journal of Biomedical Imaging. 2019. 1–8. 13 indexed citations

12.

Arbabshirani, Mohammad R., Brandon K. Fornwalt, Gino Mongelluzzo, et al.. (2018). Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. npj Digital Medicine. 1(1). 9–9. 293 indexed citations breakdown →

13.

Konakondla, Sanjay, et al.. (2017). Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain. Cureus. 9(9). e1731–e1731. 5 indexed citations

14.

Kuo, Phoebe, et al.. (2017). Semicircular canal dehiscence among idiopathic intracranial hypertension patients. The Laryngoscope. 128(5). 1196–1199. 14 indexed citations

15.

Malhotra, Ajay, et al.. (2016). Ethylene glycol toxicity. Clinical Neuroradiology. 27(1). 109–113. 7 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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