Miroslav Vukić

473 total citations
24 papers, 329 citations indexed

About

Miroslav Vukić is a scholar working on Neurology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Miroslav Vukić has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Surgery. Recurrent topics in Miroslav Vukić's work include Cerebrospinal fluid and hydrocephalus (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (12 papers) and Spine and Intervertebral Disc Pathology (4 papers). Miroslav Vukić is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (12 papers) and Spine and Intervertebral Disc Pathology (4 papers). Miroslav Vukić collaborates with scholars based in Croatia, United States and Slovenia. Miroslav Vukić's co-authors include Darko Orešković, Marijan Klarica, Marin Bulat, Milan Radoš, Jamshid Ghajar, Darko Chudy, Beverly C. Walters, Ana Fröbe, Kristina Potočki and Goran Mrak and has published in prestigious journals such as Neuroscience, Neurosurgery and Neuroscience Letters.

In The Last Decade

Miroslav Vukić

23 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miroslav Vukić Croatia 9 216 184 116 79 61 24 329
K. Shapiro United States 7 126 0.6× 170 0.9× 83 0.7× 50 0.6× 30 0.5× 11 269
A. Hanieh Australia 10 99 0.5× 106 0.6× 82 0.7× 100 1.3× 74 1.2× 19 318
Akihiko Wachi Japan 8 337 1.6× 358 1.9× 150 1.3× 92 1.2× 130 2.1× 16 561
Ahmed El Damaty Germany 10 109 0.5× 102 0.6× 62 0.5× 42 0.5× 57 0.9× 38 223
Iype Cherian Nepal 11 187 0.9× 306 1.7× 19 0.2× 105 1.3× 26 0.4× 43 399
Benjamin J. Ditty United States 10 124 0.6× 170 0.9× 32 0.3× 108 1.4× 39 0.6× 16 337
Charles P. Bondurant United States 6 208 1.0× 145 0.8× 102 0.9× 74 0.9× 102 1.7× 12 325
Michele Naddeo Italy 6 114 0.5× 139 0.8× 70 0.6× 55 0.7× 54 0.9× 9 224
Christopher P. Deibert United States 9 82 0.4× 77 0.4× 78 0.7× 54 0.7× 81 1.3× 19 284
Gianpaolo Petrella Italy 8 171 0.8× 234 1.3× 42 0.4× 32 0.4× 35 0.6× 21 288

Countries citing papers authored by Miroslav Vukić

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Vukić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Vukić

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Vukić. A scholar is included among the top collaborators of Miroslav Vukić 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 Miroslav Vukić. Miroslav Vukić 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.
Shah, Nirav N., Javed Iqbal, Nasser M. F. El-Ghandour, et al.. (2025). Evaluating artificial intelligence models for rupture risk prediction in unruptured intracranial aneurysms: a focus on vessel geometry and hemodynamic insights. Neurosurgical Review. 48(1). 539–539.
2.
Vukić, Miroslav, et al.. (2022). Review of Cerebrospinal Fluid Physiology and Dynamics: A Call for Medical Education Reform. Neurosurgery. 91(1). 1–7. 17 indexed citations
3.
Vukić, Miroslav, et al.. (2021). Spinal dural arteriovenous fistulas: a report on outcomes in a single-center retrospective cohort treated surgically and/or endovascularly. Croatian Medical Journal. 62(4). 347–352. 2 indexed citations
4.
Vukić, Miroslav, et al.. (2019). Effect of friction on nominal stress results in a single tooth bending fatigue test. IOP Conference Series Materials Science and Engineering. 659(1). 12004–12004. 2 indexed citations
5.
Vukić, Miroslav, et al.. (2018). Predictors of Functional Outcome after Spinal Ependymoma Resection. Journal of Neurosciences in Rural Practice. 9(3). 354–358. 9 indexed citations
6.
Vukić, Miroslav, et al.. (2017). Intracranial Epidural Haematoma following Surgical Removal of a Giant Lumbosacral Schwannoma: A Case Report and Literature Review. Pediatric Neurosurgery. 53(2). 89–93. 2 indexed citations
7.
8.
Vukić, Miroslav, et al.. (2016). Monoamine Neurotransmitter Metabolite Concentration as a Marker of Cerebrospinal Fluid Volume Changes. Acta neurochirurgica. Supplementum. 122. 283–286. 3 indexed citations
9.
Vukić, Miroslav, et al.. (2016). Analgosedation With Dexmedetomidine in a Patient With Superior Vena Cava Syndrome in Neurosurgery. Journal of Neurosurgical Anesthesiology. 30(1). 79–80. 1 indexed citations
10.
Vukić, Miroslav, et al.. (2014). Cervical Disk Replacement With Discover Versus Fusion in a Single-Level Cervical Disk Disease. Clinical Spine Surgery A Spine Publication. 30(5). E515–E522. 37 indexed citations
11.
Orešković, Darko, et al.. (2010). Effect of osmolarity on CSF volume during ventriculo-aqueductal and ventriculo-cisternal perfusions in cats. Neuroscience Letters. 484(2). 93–97. 30 indexed citations
12.
Klarica, Marijan, et al.. (2008). New experimental model of acute aqueductal blockage in cats: Effects on cerebrospinal fluid pressure and the size of brain ventricles. Neuroscience. 158(4). 1397–1405. 65 indexed citations
13.
Orešković, Darko, et al.. (2008). Fluid perfusion as a method of cerebrospinal fluid formation rate--critical appraisal.. PubMed. 32 Suppl 1. 133–7. 6 indexed citations
14.
Orešković, Darko, Miroslav Vukić, Marijan Klarica, & Marin Bulat. (2006). The investigation of cerebrospinal fluid formation by ventriculo-aqueductal perfusion method in cats. Acta neurochirurgica. Supplementum. 95. 433–436. 6 indexed citations
15.
Potočki, Kristina, et al.. (2006). Eiternde Osteomyelitis mit Epiduralabszess bei einem Erwachsenen mehr als ein Jahrzehnt nach zervikaler Wirbelsäulenverletzung. Zeitschrift für Rheumatologie. 66(2). 163–164. 1 indexed citations
16.
Klarica, Marijan, et al.. (2005). Spinal contribution to CSF pressure lowering effect of mannitol in cats. Acta neurochirurgica. Supplementum. 95. 407–410. 7 indexed citations
17.
Orešković, Darko, Marijan Klarica, & Miroslav Vukić. (2002). The formation and circulation of cerebrospinal fluid inside the cat brain ventricles: a fact or an illusion?. Neuroscience Letters. 327(2). 103–106. 34 indexed citations
18.
Orešković, Darko, Marijan Klarica, & Miroslav Vukić. (2001). Does the secretion and circulation of the cerebrospinal fluid really exist?. Medical Hypotheses. 56(5). 622–624. 29 indexed citations
19.
Vukić, Miroslav, et al.. (2001). Correlation between Glasgow Coma Scale Score and Intracranial Pressure in Patients with Severe Head Injury. University of Zagreb University Computing Centre (SRCE). 40(3). 191–195. 2 indexed citations
20.
Vukić, Miroslav, et al.. (1999). The Effect of Implementation of Guidelines for the Management of Severe Head Injury on Patient Treatment and Outcome. Acta Neurochirurgica. 141(11). 1203–1208. 50 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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