Benita Tamrazi

2.5k total citations
60 papers, 913 citations indexed

About

Benita Tamrazi is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Benita Tamrazi has authored 60 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 22 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Neurology. Recurrent topics in Benita Tamrazi's work include Glioma Diagnosis and Treatment (27 papers), Advanced MRI Techniques and Applications (9 papers) and Meningioma and schwannoma management (8 papers). Benita Tamrazi is often cited by papers focused on Glioma Diagnosis and Treatment (27 papers), Advanced MRI Techniques and Applications (9 papers) and Meningioma and schwannoma management (8 papers). Benita Tamrazi collaborates with scholars based in United States, United Kingdom and Canada. Benita Tamrazi's co-authors include Jeevak Almast, Chia‐Shang J. Liu, Marvin D. Nelson, Mark S. Shiroishi, Stefan Blüml, Thomas D. Coates, John C. Wood, Matthew Borzage, Girish Dhall and Adam Bush and has published in prestigious journals such as Scientific Reports, Radiology and The Lancet Oncology.

In The Last Decade

Benita Tamrazi

56 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benita Tamrazi United States 19 472 262 243 219 160 60 913
Anastasia Zikou Greece 23 273 0.6× 247 0.9× 443 1.8× 152 0.7× 175 1.1× 67 1.4k
Bainan Xu China 19 453 1.0× 437 1.7× 480 2.0× 328 1.5× 121 0.8× 72 1.3k
Domenico Tortora Italy 20 292 0.6× 251 1.0× 367 1.5× 134 0.6× 217 1.4× 111 1.3k
Mitsunori Kanagaki Japan 20 204 0.4× 262 1.0× 625 2.6× 135 0.6× 125 0.8× 77 1.2k
Mathias Kunz Germany 17 311 0.7× 228 0.9× 211 0.9× 117 0.5× 108 0.7× 49 776
Maria Zetterling Sweden 19 251 0.5× 313 1.2× 236 1.0× 179 0.8× 187 1.2× 39 969
Jan Coburger Germany 22 657 1.4× 160 0.6× 325 1.3× 392 1.8× 184 1.1× 60 1.1k
Noah D. Sabin United States 19 550 1.2× 199 0.8× 155 0.6× 108 0.5× 510 3.2× 52 1.4k
Peter Tai Canada 9 569 1.2× 139 0.5× 155 0.6× 202 0.9× 373 2.3× 26 880
Jennifer Moliterno United States 18 322 0.7× 171 0.7× 74 0.3× 229 1.0× 159 1.0× 59 868

Countries citing papers authored by Benita Tamrazi

Since Specialization
Citations

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

Fields of papers citing papers by Benita Tamrazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benita Tamrazi

This figure shows the co-authorship network connecting the top 25 collaborators of Benita Tamrazi. A scholar is included among the top collaborators of Benita Tamrazi 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 Benita Tamrazi. Benita Tamrazi 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.
Bareja, Rohan, Marwa Ismail, Douglas Martin, et al.. (2024). nnU-Net–based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional Study. Radiology Artificial Intelligence. 6(5). e230115–e230115. 4 indexed citations
2.
Santoro, Jonathan D., Saba Jafarpour, Natalie K. Boyd, et al.. (2024). Neuroimaging abnormalities associated with immunotherapy responsiveness in Down syndrome regression disorder. Annals of Clinical and Translational Neurology. 11(4). 1034–1045. 4 indexed citations
3.
Borzage, Matthew, Chia‐Shang J. Liu, Marvin D. Nelson, et al.. (2022). Quantitative Susceptibility Mapping: Translating an Investigative Research Tool into High Volume Clinical Diagnostic Imaging. Diagnostics. 12(12). 2962–2962.
4.
Blüml, Stefan, et al.. (2022). Proton MR Spectroscopy of Pediatric Brain Disorders. Diagnostics. 12(6). 1462–1462. 8 indexed citations
5.
Gai, Xiaowu, et al.. (2022). m.3685T>C is a Novel Mitochondrial DNA Variant That Causes Leigh Syndrome. Molecular Case Studies. 8(2). mcs.a006136–mcs.a006136. 2 indexed citations
6.
7.
Wong, Kenneth, Vitali Moiseenko, Cécile M. Ronckers, et al.. (2022). Risk of Cerebrovascular Events Among Childhood and Adolescent Patients Receiving Cranial Radiation Therapy: A PENTEC Normal Tissue Outcomes Comprehensive Review. International Journal of Radiation Oncology*Biology*Physics. 119(2). 417–430. 6 indexed citations
8.
Borzage, Matthew, Adam Bush, Soyoung Choi, et al.. (2020). Transient Hypoxia Model Revealed Cerebrovascular Impairment in Anemia Using BOLD MRI and Near‐Infrared Spectroscopy. Journal of Magnetic Resonance Imaging. 52(5). 1400–1412. 7 indexed citations
9.
Nelson, Mary Baron, Mary Baron Nelson, Sharon O’Neil, et al.. (2020). Brain biomarkers and neuropsychological outcomes of pediatric posterior fossa brain tumor survivors treated with surgical resection with or without adjuvant chemotherapy. Pediatric Blood & Cancer. 68(2). e28817–e28817. 9 indexed citations
10.
Deoni, Sean, Jie Shi, Marius George Linguraru, et al.. (2020). Neurocranium thickness mapping in early childhood. Scientific Reports. 10(1). 16651–16651. 7 indexed citations
11.
Cheung, Clement C., et al.. (2019). Case 1: An 11-year-old Girl with Depression and Electrolyte Disturbance. Pediatrics in Review. 40(8). 421–424.
12.
Tamrazi, Benita, Sriram Venneti, Ashley Margol, et al.. (2019). Pediatric Atypical Teratoid/Rhabdoid Tumors of the Brain: Identification of Metabolic Subgroups Using In Vivo 1H-MR Spectroscopy. American Journal of Neuroradiology. 40(5). 872–877. 6 indexed citations
13.
Tamrazi, Benita, Kshitij Mankad, Marvin D. Nelson, & Felice D’Arco. (2018). Current concepts and challenges in the radiologic assessment of brain tumors in children: part 2. Pediatric Radiology. 48(13). 1844–1860. 12 indexed citations
14.
D’Arco, Felice, et al.. (2018). Current concepts in radiologic assessment of pediatric brain tumors during treatment, part 1. Pediatric Radiology. 48(13). 1833–1843. 15 indexed citations
15.
Wu, Tai-Wei, Benita Tamrazi, Kai‐Hsiang Hsu, et al.. (2018). Cerebral Lactate Concentration in Neonatal Hypoxic-Ischemic Encephalopathy: In Relation to Time, Characteristic of Injury, and Serum Lactate Concentration. Frontiers in Neurology. 9. 293–293. 32 indexed citations
16.
Wu, Tai-Wei, et al.. (2018). Hemodynamic Changes During Rewarming Phase of Whole-Body Hypothermia Therapy in Neonates with Hypoxic-Ischemic Encephalopathy. The Journal of Pediatrics. 197. 68–74.e2. 32 indexed citations
17.
Borzage, Matthew, Skorn Ponrartana, Benita Tamrazi, et al.. (2018). A new MRI tag-based method to non-invasively visualize cerebrospinal fluid flow. Child s Nervous System. 34(9). 1677–1682. 4 indexed citations
18.
Wong, Kenneth, et al.. (2016). A quantitative analysis of craniopharyngioma cyst expansion during and after radiation therapy and surgical implications. Neurosurgical FOCUS. 41(6). E15–E15. 24 indexed citations
19.
Roddy, Erika, Katherine Sear, Erin Felton, et al.. (2016). Presence of cerebral microbleeds is associated with worse executive function in pediatric brain tumor survivors. Neuro-Oncology. 18(11). now163–now163. 42 indexed citations
20.
Tamrazi, Benita & Jeevak Almast. (2012). Your Brain on Drugs: Imaging of Drug-related Changes in the Central Nervous System. Radiographics. 32(3). 701–719. 59 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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