David Netuka

2.4k total citations
133 papers, 1.3k citations indexed

About

David Netuka is a scholar working on Surgery, Epidemiology and Neurology. According to data from OpenAlex, David Netuka has authored 133 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 44 papers in Epidemiology and 35 papers in Neurology. Recurrent topics in David Netuka's work include Pituitary Gland Disorders and Treatments (30 papers), Cerebrovascular and Carotid Artery Diseases (26 papers) and Meningioma and schwannoma management (22 papers). David Netuka is often cited by papers focused on Pituitary Gland Disorders and Treatments (30 papers), Cerebrovascular and Carotid Artery Diseases (26 papers) and Meningioma and schwannoma management (22 papers). David Netuka collaborates with scholars based in Czechia, Netherlands and Germany. David Netuka's co-authors include Vladimír Beneš, Martin Májovský, Václav Masopust, Martin Černý, Martin Komarc, T. Belšán, František Charvát, Ondřej Bradáč, Svatopluk Ostrý and Florian Ringel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMJ.

In The Last Decade

David Netuka

117 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Netuka Czechia 20 424 417 312 223 218 133 1.3k
Kartik Kesavabhotla United States 22 391 0.9× 232 0.6× 232 0.7× 52 0.2× 258 1.2× 46 1.4k
Lukas Andereggen Switzerland 21 454 1.1× 522 1.3× 185 0.6× 282 1.3× 152 0.7× 127 1.4k
Walter C. Jean United States 24 581 1.4× 619 1.5× 541 1.7× 72 0.3× 239 1.1× 102 2.0k
Todd C. Hankinson United States 29 668 1.6× 503 1.2× 413 1.3× 391 1.8× 242 1.1× 124 2.2k
Ming Feng China 28 580 1.4× 295 0.7× 518 1.7× 1.0k 4.7× 130 0.6× 139 2.3k
Girish Menon India 20 287 0.7× 721 1.7× 571 1.8× 126 0.6× 150 0.7× 167 1.4k
Francisco A. Ponce United States 17 155 0.4× 503 1.2× 186 0.6× 54 0.2× 148 0.7× 29 1.1k
Miikka Korja Finland 28 213 0.5× 1.9k 4.6× 397 1.3× 63 0.3× 692 3.2× 99 2.7k
D. Ryan Ormond United States 21 271 0.6× 241 0.6× 304 1.0× 58 0.3× 209 1.0× 78 1.3k
Salvatore Di Maio Italy 24 373 0.9× 285 0.7× 479 1.5× 500 2.2× 210 1.0× 73 1.6k

Countries citing papers authored by David Netuka

Since Specialization
Citations

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

Fields of papers citing papers by David Netuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Netuka

This figure shows the co-authorship network connecting the top 25 collaborators of David Netuka. A scholar is included among the top collaborators of David Netuka 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 David Netuka. David Netuka 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.
Netuka, David, Tomáš Hrbáč, J. Vrána, et al.. (2025). MRI- and CT-derived carotid plaque characteristics and stroke: Insights from the ANTIQUE study. Kardiologia Polska. 83(3). 277–286.
3.
Černý, Martin, Josef Novotný, Jan Kybic, et al.. (2025). Utility of artificial intelligence in radiosurgery for pituitary adenoma: a deep learning–based automated segmentation model and evaluation of its clinical applicability. Journal of neurosurgery. 143(2). 413–422. 1 indexed citations
4.
Balážiová, Eva, Petr Vodička, Helena Kupcová Skalníková, et al.. (2024). Fibrillar extracellular matrix produced by pericyte‐like cells facilitates glioma cell dissemination. Brain Pathology. 34(6). e13265–e13265. 5 indexed citations
5.
Kybic, Jan, et al.. (2024). P.103 Automated pituitary adenoma segmentation for radiosurgery with deep learning-based model. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(s1). S44–S44. 1 indexed citations
6.
Novàkovâ, Marie, J Dušková, Helena Hornychová, et al.. (2024). Hand2 Immunohistochemistry in the Diagnosis of Paragangliomas and Other Neuroendocrine Neoplasms. Endocrine Pathology. 35(1). 14–24. 3 indexed citations
7.
Charvát, František, et al.. (2024). Natural course of partially embolized carotid‐cavernous fistulas. Journal of Neuroimaging. 34(3). 376–385.
8.
Netuka, David, et al.. (2024). Comparison of decline in different cognitive domain in patients with normal pressure hydrocephalus. Neurosurgical Review. 47(1). 167–167. 3 indexed citations
10.
Whitley, Helen, et al.. (2023). Diffusion tensor imaging helps identify shunt-responsive normal pressure hydrocephalus patients among probable iNPH cohort. Neurosurgical Review. 46(1). 173–173. 6 indexed citations
11.
Kaiser, Radek, Lucia Kantorová, Miloslav Klugar, et al.. (2023). Surgical Treatment of Degenerative Lumbar Stenosis and Spondylolisthesis: Clinical Practice Guideline. Acta chirurgiae orthopaedicae et traumatologiae Cechoslovaca. 90(3). 157–167.
12.
Mandys, Václav, et al.. (2023). Oxidative Stress as a Reliable Biomarker of Carotid Plaque Instability: A Pilot Study. Antioxidants. 12(2). 506–506. 3 indexed citations
13.
Hornychová, Helena, et al.. (2022). Pitx2 is a useful marker of midgut‐derived neuroendocrine tumours – an immunohistochemical study of 224 cases. Histopathology. 81(6). 799–807. 3 indexed citations
14.
Charvát, František, et al.. (2022). What is the most effective method to treat indirect carotid-cavernous fistula?. Neurosurgical Review. 46(1). 9–9. 1 indexed citations
15.
Májovský, Martin, André Grotenhuis, Nikolaos Foroglou, et al.. (2021). What is the current clinical practice in pituitary adenoma surgery in Europe? European Pituitary Adenoma Surgery Survey (EU-PASS) results—technical part. Neurosurgical Review. 45(1). 831–841. 9 indexed citations
16.
Turnovcová, Karolína, Tolga Sursal, Radek Kaiser, et al.. (2021). Understanding the Biological Basis of Glioblastoma Patient-derived Spheroids. Anticancer Research. 41(3). 1183–1195. 3 indexed citations
17.
Minárik, Marek, Lucie Benešová, Tereza Hálková, et al.. (2016). IDH1/2 Mutation and MGMT Promoter Methylation – the Relevant Survival Predictors in Czech Patients with Brain Gliomas. Folia Biologica. 62(5). 194–202. 11 indexed citations
18.
Masopust, Václav, David Netuka, Vladimír Beneš, et al.. (2016). Magnetic resonance imaging and histology correlation in Cushing's disease. Neurologia i Neurochirurgia Polska. 51(1). 45–52. 7 indexed citations
19.
Masopust, Václav, et al.. (2009). Postoperative Epidural Fibrosis. Clinical Journal of Pain. 25(7). 600–606. 27 indexed citations
20.
Beneš, Vladimír, et al.. (2004). Comparison between degree of carotid stenosis observed at angiography and in histological examination. Acta Neurochirurgica. 146(7). 671–677. 18 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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