Vladimír Haň

1.1k total citations
16 papers, 266 citations indexed

About

Vladimír Haň is a scholar working on Neurology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Vladimír Haň has authored 16 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Epidemiology. Recurrent topics in Vladimír Haň's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Neurological disorders and treatments (4 papers). Vladimír Haň is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Neurological disorders and treatments (4 papers). Vladimír Haň collaborates with scholars based in Slovakia, Netherlands and Germany. Vladimír Haň's co-authors include Marina A.J. Tijssen, Matěj Škorvánek, Anna L. Bartels, Zuzana Gdovinová, Jitse P. van Dijk, Anouk Kuiper, Milan Grofik, Barbera van Harten, Marije Smit and Michal Minár and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of the Neurological Sciences and Journal of Clinical Medicine.

In The Last Decade

Vladimír Haň

16 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimír Haň Slovakia 9 216 65 34 23 19 16 266
Chloé Laurencin France 10 227 1.1× 75 1.2× 34 1.0× 18 0.8× 10 0.5× 30 311
Nelson Hwynn United States 13 366 1.7× 152 2.3× 35 1.0× 10 0.4× 20 1.1× 20 432
Chizoba C. Umeh United States 10 215 1.0× 76 1.2× 56 1.6× 40 1.7× 33 1.7× 18 329
Denise Hack Nicaretta Brazil 13 268 1.2× 72 1.1× 34 1.0× 41 1.8× 23 1.2× 33 360
Bruno Lopes Santos‐Lobato Brazil 10 131 0.6× 53 0.8× 50 1.5× 28 1.2× 8 0.4× 37 246
Prasad Korlipara United Kingdom 7 137 0.6× 52 0.8× 22 0.6× 14 0.6× 28 1.5× 12 258
Е А Катунина Russia 9 239 1.1× 90 1.4× 33 1.0× 26 1.1× 40 2.1× 49 322
Silvia Ríos‐Romenets Colombia 5 155 0.7× 46 0.7× 27 0.8× 28 1.2× 11 0.6× 9 221
Leslie A. Rudzinski United States 8 113 0.5× 58 0.9× 109 3.2× 31 1.3× 6 0.3× 9 231
Toby C. Yaltho United States 9 324 1.5× 118 1.8× 55 1.6× 23 1.0× 30 1.6× 10 389

Countries citing papers authored by Vladimír Haň

Since Specialization
Citations

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

Fields of papers citing papers by Vladimír Haň

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimír Haň

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimír Haň. A scholar is included among the top collaborators of Vladimír Haň 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 Vladimír Haň. Vladimír Haň is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Havránková, Petra, Jan Roth, Václav Čapek, et al.. (2024). Acute polyneuropathy: a serious complication of levodopa/ /carbidopa intestinal gel treatment for Parkinson’s Disease. Neurologia i Neurochirurgia Polska. 58(6). 586–592. 2 indexed citations
3.
Pavelekova, Petra, Ján Necpál, Robert Jech, et al.. (2023). Predictors of whole exome sequencing in dystonic cerebral palsy and cerebral palsy-like disorders. Parkinsonism & Related Disorders. 111. 105352–105352. 2 indexed citations
4.
Beetz, Christian, Peter Bauer, Petra Pavelekova, et al.. (2022). Prevalence of Fabry Disease among Patients with Parkinson’s Disease. Parkinson s Disease. 2022(1). 1014950–1014950. 3 indexed citations
5.
Grendár, Marian, Ján Necpál, Ján Benetin, et al.. (2022). Alzheimer’s Disease-Associated SNP rs708727 in SLC41A1 May Increase Risk for Parkinson’s Disease: Report from Enlarged Slovak Study. International Journal of Molecular Sciences. 23(3). 1604–1604. 9 indexed citations
6.
Škorvánek, Matěj, Ján Necpál, Sylvia Boesch, et al.. (2021). Dystonia as a prominent presenting feature in developmental and epileptic encephalopathies: A case series. Parkinsonism & Related Disorders. 90. 73–78. 10 indexed citations
7.
Haň, Vladimír, Matěj Škorvánek, Tialda Hoekstra, et al.. (2020). Prevalence of non‐motor symptoms and their association with quality of life in cervical dystonia. Acta Neurologica Scandinavica. 142(6). 613–622. 23 indexed citations
8.
Zech, Michael, Theresa Brunet, Matěj Škorvánek, et al.. (2020). Recessive null-allele variants in MAG associated with spastic ataxia, nystagmus, neuropathy, and dystonia. Parkinsonism & Related Disorders. 77. 70–75. 4 indexed citations
9.
Ziętkiewicz, Szymon, Małgorzata Rydzanicz, Viera Habalová, et al.. (2019). Whole exome sequencing identifies a homozygous POLG2 missense variant in an adult patient presenting with optic atrophy, movement disorders, premature ovarian failure and mitochondrial DNA depletion. European Journal of Medical Genetics. 63(4). 103821–103821. 6 indexed citations
10.
Škorvánek, Matěj, Vladimír Haň, Eva Feketeová, et al.. (2017). Prevalence of Prodromal Parkinson’s Disease as Defined by MDS Research Criteria among Elderly Patients Undergoing Colonoscopy. Journal of Parkinson s Disease. 7(3). 481–489. 10 indexed citations
11.
Bartels, Anna L., et al.. (2017). The Frequency and Self‐perceived Impact on Daily Life of Motor and Non‐motor Symptoms in Cervical Dystonia. Movement Disorders Clinical Practice. 4(5). 750–754. 12 indexed citations
12.
Smit, Marije, Anouk Kuiper, Vladimír Haň, et al.. (2016). Psychiatric co-morbidity is highly prevalent in idiopathic cervical dystonia and significantly influences health-related quality of life: Results of a controlled study. Parkinsonism & Related Disorders. 30. 7–12. 70 indexed citations
13.
Bartels, Anna L., et al.. (2016). Fatigue, Sleep Disturbances, and Their Influence on Quality of Life in Cervical Dystonia Patients. Movement Disorders Clinical Practice. 4(4). 517–523. 34 indexed citations
14.
Škorvánek, Matěj, Jaroslav Rosenberger, Michal Minár, et al.. (2015). Relationship between the non-motor items of the MDS–UPDRS and Quality of Life in patients with Parkinson's disease. Journal of the Neurological Sciences. 353(1-2). 87–91. 49 indexed citations
15.
Škorvánek, Matěj, et al.. (2015). Validation of the Official Slovak Version of the Unified Dyskinesia Rating Scale (UDysRS). Parkinson s Disease. 2015. 1–7. 4 indexed citations
16.
Erro, Roberto, María Stamelou, Christos Ganos, et al.. (2014). The Clinical Syndrome of Paroxysmal Exercise‐Induced Dystonia: Diagnostic Outcomes and an Algorithm. Movement Disorders Clinical Practice. 1(1). 57–61. 27 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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