David Netuka

2.5k citations
137 papers · 1.3k · h-index 20

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 5%
    • Intracranial Aneurysms: Treatment and Complications
    • Neurosurgical Procedures and Complications

Papers in

    • Head and Neck Surgical Oncology 8
    • Spinal Fractures and Fixation Techniques 8
    • Adrenal and Paraganglionic Tumors 7

David Netuka

121 papers receiving 1.3k citations

Peers

David Netuka
Comparison fields: 5 of 95
  • Health Informatics 115
  • Neurology 294
  • Endocrinology, Diabetes and Metabolism 201
  • Genetics 119
  • Surgery 258
Replace Paolo Palmisciano with:
Paolo Palmisciano United States
Pierpaolo Alongi Italy
Kartik Kesavabhotla United States
Houman Sotoudeh United States
Jana Ivanidze United States
Ming Feng China
Christian F. Freyschlag Austria
Jacky T. Yeung United States
Andrea Elefante Italy
Todd C. Hankinson United States
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Citations per field
00.5×10×20×34.3×
Paolo Palmisciano · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Netuka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Netuka Line = papers co-authored together David Netuka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023156
2 202264
3 201544
4 201637
5 201335
6 201534
7 201734
8 201032
9 200928
10 201127
11 202126
12 200326
13 200325
14 201825
15 201924
16 201524
17 201724
18 200524
19 201623
20 201920

About David Netuka

David Netuka is a scholar working on Surgery, Neurology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Epidemiology, having authored 137 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (27 papers), Cerebrovascular and Carotid Artery Diseases (23 papers), Meningioma and schwannoma management (14 papers), Glioma Diagnosis and Treatment (11 papers), Cerebrospinal fluid and hydrocephalus (9 papers), Head and Neck Surgical Oncology (8 papers), Spinal Fractures and Fixation Techniques (8 papers) and Adrenal and Paraganglionic Tumors (7 papers). The work is most often cited by research in Health Informatics (115 citations), Neurology (294 citations), Endocrinology, Diabetes and Metabolism (201 citations), Genetics (119 citations) and Surgery (258 citations). David Netuka has collaborated with scholars based in Czechia, Netherlands and Germany. Frequent co-authors include Vladimír Beneš, Martin Májovský, Václav Masopust, Martin Černý, Martin Komarc, T. Belšán, František Charvát, Ondřej Bradáč, Svatopluk Ostrý and Florian Ringel. Their work appears in journals such as Acta Neurochirurgica, Neurosurgical Review, World Neurosurgery, Physiological Research and Endocrine Pathology.

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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