Zoltán Patay

5.4k total citations · 1 hit paper
105 papers, 2.0k citations indexed

About

Zoltán Patay is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Zoltán Patay has authored 105 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 30 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Molecular Biology. Recurrent topics in Zoltán Patay's work include Glioma Diagnosis and Treatment (43 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Metabolism and Genetic Disorders (15 papers). Zoltán Patay is often cited by papers focused on Glioma Diagnosis and Treatment (43 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Metabolism and Genetic Disorders (15 papers). Zoltán Patay collaborates with scholars based in United States, Saudi Arabia and Belgium. Zoltán Patay's co-authors include Amar Gajjar, Ulrike Löbel, Alberto Broniscer, Wilburn E. Reddick, Mehmet Koçak, David W. Ellison, Robert J. Ogg, Fred H. Laningham, Pinar T. Ozand and John O. Glass and has published in prestigious journals such as Journal of Clinical Oncology, Brain and Cancer.

In The Last Decade

Zoltán Patay

102 papers receiving 2.0k citations

Hit Papers

Role of NAD+ in regulatin... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoltán Patay United States 25 740 523 462 456 336 105 2.0k
M. Chatel France 19 575 0.8× 360 0.7× 434 0.9× 404 0.9× 157 0.5× 78 1.7k
Nobuyuki Kawai Japan 31 803 1.1× 614 1.2× 509 1.1× 1.0k 2.2× 74 0.2× 97 2.7k
Ryosuke Hanaya Japan 19 560 0.8× 428 0.8× 268 0.6× 309 0.7× 303 0.9× 130 1.7k
Kari Skullerud Norway 21 582 0.8× 136 0.3× 302 0.7× 387 0.8× 167 0.5× 52 1.4k
Inga Harting Germany 25 354 0.5× 275 0.5× 965 2.1× 281 0.6× 187 0.6× 62 2.0k
Christopher R. Pierson United States 31 373 0.5× 146 0.3× 1.1k 2.5× 263 0.6× 409 1.2× 103 2.9k
Guangliang Ding United States 28 359 0.5× 682 1.3× 409 0.9× 593 1.3× 222 0.7× 74 2.4k
Luisa Chiapparini Italy 33 221 0.3× 325 0.6× 768 1.7× 1.4k 3.0× 260 0.8× 138 3.5k
Y Ushio Japan 28 1.0k 1.4× 616 1.2× 737 1.6× 728 1.6× 90 0.3× 137 3.3k
Hironaka Igarashi Japan 21 200 0.3× 365 0.7× 429 0.9× 357 0.8× 173 0.5× 95 1.5k

Countries citing papers authored by Zoltán Patay

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Patay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Patay

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Patay. A scholar is included among the top collaborators of Zoltán Patay 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 Zoltán Patay. Zoltán Patay 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.
Zhang, Silu, et al.. (2023). Automatic detection and segmentation of postoperative cerebellar damage based on normalization. Neuro-Oncology Advances. 5(1). vdad006–vdad006. 3 indexed citations
2.
Harreld, Julie H., Jacqueline L. Angel, Yuanyuan Han, et al.. (2022). MRI sequences and interslice gap influence leptomeningeal metastasis detection in children with brain tumors. Neuroradiology. 64(7). 1447–1456. 1 indexed citations
3.
Khan, Raja B., Zoltán Patay, Paul Klimo, et al.. (2021). Clinical features, neurologic recovery, and risk factors of postoperative posterior fossa syndrome and delayed recovery: a prospective study. Neuro-Oncology. 23(9). 1586–1596. 47 indexed citations
4.
Nisar, Sabah, Ajaz A. Bhat, Ab Rauf Shah, et al.. (2021). Role of NAD+ in regulating cellular and metabolic signaling pathways. Molecular Metabolism. 49. 101195–101195. 219 indexed citations breakdown →
5.
Vajapeyam, Sridhar, Douglas L. Brown, Catherine A. Billups, et al.. (2020). Advanced ADC Histogram, Perfusion, and Permeability Metrics Show an Association with Survival and Pseudoprogression in Newly Diagnosed Diffuse Intrinsic Pontine Glioma: A Report from the Pediatric Brain Tumor Consortium. American Journal of Neuroradiology. 41(4). 718–724. 13 indexed citations
6.
Reddy, Nihaal, David W. Ellison, Bruno P. Soares, et al.. (2020). Pediatric Posterior Fossa Medulloblastoma: The Role of Diffusion Imaging in Identifying Molecular Groups. Journal of Neuroimaging. 30(4). 503–511. 9 indexed citations
7.
Moreira, Daniel C., Amar Gajjar, Zoltán Patay, et al.. (2020). Creation of a successful multidisciplinary course in pediatric neuro‐oncology with a systematic approach to curriculum development. Cancer. 127(7). 1126–1133. 8 indexed citations
8.
Scoggins, Matthew, Yimei Li, Christopher L. Tinkle, et al.. (2020). MRI Patterns of Extrapontine Lesion Extension in Diffuse Intrinsic Pontine Gliomas. American Journal of Neuroradiology. 41(2). 323–330. 12 indexed citations
10.
Alves, Cesar, et al.. (2018). Childhood Medulloblastoma Revisited. Topics in Magnetic Resonance Imaging. 27(6). 479–502. 11 indexed citations
11.
Patay, Zoltán, et al.. (2015). MR Imaging Characteristics of Wingless-Type–Subgroup Pediatric Medulloblastoma. American Journal of Neuroradiology. 36(12). 2386–2393. 54 indexed citations
13.
Patay, Zoltán, Brent A. Orr, Barry L. Shulkin, et al.. (2014). Successive distinct high‐grade gliomas in L‐2‐hydroxyglutaric aciduria. Journal of Inherited Metabolic Disease. 38(2). 273–277. 16 indexed citations
14.
Sabin, Noah D., Aimee Santucci, Paul Klimo, et al.. (2014). Incidental detection of late subsequent intracranial neoplasms with magnetic resonance imaging among adult survivors of childhood cancer. Journal of Cancer Survivorship. 8(3). 329–335. 10 indexed citations
15.
Patay, Zoltán, et al.. (2008). Localized acalvaria with craniosynostosis. Clinical Dysmorphology. 17(3). 165–168. 1 indexed citations
16.
Lach, Bolesław, et al.. (2005). Congenital supratentorial meningeal arteriovenous malformation with hemangioma and massive arachnoid cell hyperplasia. Child s Nervous System. 21(11). 995–999. 3 indexed citations
17.
Lach, Bolesław, Essam Al Shail, & Zoltán Patay. (2003). Spontaneous anaplasia in pilocytic astrocytoma of cerebellum. British Journal of Neurosurgery. 17(3). 250–252. 6 indexed citations
18.
Rashed, Mohamed S., et al.. (2000). Glutaric Aciduria Type II: Observations in Seven Patients With Neonatal- and Late-Onset Disease. Journal of Perinatology. 20(2). 120–128. 42 indexed citations
20.
Bakheet, Siema M., Mohammed Alessa, Zoltán Patay, et al.. (1999). Cerebral Fluorine-18 Fluorodeoxyglucose Positron Emission Tomographic Findings in X-Linked Adrenoleukodystrophy. Clinical Nuclear Medicine. 24(5). 364–365. 3 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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