Jiří Klempíř

2.6k total citations
79 papers, 1.4k citations indexed

About

Jiří Klempíř is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jiří Klempíř has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 35 papers in Cellular and Molecular Neuroscience and 24 papers in Physiology. Recurrent topics in Jiří Klempíř's work include Genetic Neurodegenerative Diseases (32 papers), Neurological disorders and treatments (23 papers) and Parkinson's Disease Mechanisms and Treatments (22 papers). Jiří Klempíř is often cited by papers focused on Genetic Neurodegenerative Diseases (32 papers), Neurological disorders and treatments (23 papers) and Parkinson's Disease Mechanisms and Treatments (22 papers). Jiří Klempíř collaborates with scholars based in Czechia, Germany and Norway. Jiří Klempíř's co-authors include Evžen Růžička, Jan Rusz, Jan Roth, Tereza Tykalová, Roman Čmejla, Hana Růžičková, Veronika Majerová, Robert Jech, Michal Novotný and Daniela Pelclová and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jiří Klempíř

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiří Klempíř Czechia 20 613 600 271 256 236 79 1.4k
E García-Albea Spain 16 379 0.6× 267 0.4× 60 0.2× 126 0.5× 5 0.0× 60 806
O. J. S. Buruma Netherlands 20 571 0.9× 162 0.3× 350 1.3× 8 0.0× 14 0.1× 39 1.3k
Douglas R. Nordli United States 20 103 0.2× 359 0.6× 341 1.3× 12 0.0× 14 0.1× 74 1.8k
Go Suzuki Japan 19 331 0.5× 65 0.1× 160 0.6× 3 0.0× 70 0.3× 57 1.0k
Louis Tan Singapore 22 839 1.4× 234 0.4× 215 0.8× 28 0.1× 4 0.0× 44 1.3k
Basil H. Ridha United Kingdom 21 190 0.3× 586 1.0× 86 0.3× 7 0.0× 7 0.0× 35 1.5k
Paolo Vitali Italy 22 345 0.6× 251 0.4× 160 0.6× 5 0.0× 21 0.1× 72 1.6k
Ryan R. Metzger United States 26 325 0.5× 47 0.1× 602 2.2× 3 0.0× 283 1.2× 54 1.7k
Elia Pestana‐Knight United States 17 89 0.1× 103 0.2× 183 0.7× 9 0.0× 14 0.1× 83 1.4k
Mackenzie C. Cervenka United States 29 184 0.3× 1.2k 2.1× 201 0.7× 9 0.0× 7 0.0× 70 2.0k

Countries citing papers authored by Jiří Klempíř

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Klempíř

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Klempíř

This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Klempíř. A scholar is included among the top collaborators of Jiří Klempíř 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 Jiří Klempíř. Jiří Klempíř 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.
Tykalová, Tereza, et al.. (2025). Automated analysis of spoken language differentiates multiple system atrophy from Parkinson’s disease. Journal of Neurology. 272(2). 113–113. 1 indexed citations
2.
Klempíř, Jiří, et al.. (2023). Coenzyme Q10: A Biomarker in the Differential Diagnosis of Parkinsonian Syndromes. Antioxidants. 12(12). 2104–2104. 1 indexed citations
3.
Klempíř, Jiří, et al.. (2023). Expiratory Muscle Strength Training in Multiple System Atrophy: A Pilot Study. Movement Disorders Clinical Practice. 10(7). 1060–1065. 2 indexed citations
4.
Tykalová, Tereza, et al.. (2023). Speech biomarkers in Huntington's disease: A cross‐sectional study in pre‐symptomatic, prodromal and early manifest stages. European Journal of Neurology. 30(5). 1262–1271. 13 indexed citations
5.
Křížová, Jana, et al.. (2022). Mitochondrial organization and structure are compromised in fibroblasts from patients with Huntington’s disease. Ultrastructural Pathology. 46(5). 462–475. 7 indexed citations
6.
Juhás, Štefan, Jana Juhásová, Jiří Klempíř, et al.. (2022). Huntingtin Co-Isolates with Small Extracellular Vesicles from Blood Plasma of TgHD and KI-HD Pig Models of Huntington’s Disease and Human Blood Plasma. International Journal of Molecular Sciences. 23(10). 5598–5598. 26 indexed citations
7.
8.
Tykalová, Tereza, et al.. (2020). Dysarthria enhancement mechanism under external clear speech instruction in Parkinson's disease, progressive supranuclear palsy and multiple system atrophy. Journal of Neural Transmission. 127(6). 905–914. 7 indexed citations
9.
Klempíř, Jiří, Thê-Duong Nguyen, Anna Kuśnierczyk, et al.. (2018). A transgenic minipig model of Huntington's disease shows early signs of behavioral and molecular pathologies. Disease Models & Mechanisms. 11(10). 12 indexed citations
10.
Tykalová, Tereza, Jan Rusz, Jiří Klempíř, Roman Čmejla, & Evžen Růžička. (2016). Distinct patterns of imprecise consonant articulation among Parkinson’s disease, progressive supranuclear palsy and multiple system atrophy. Brain and Language. 165. 1–9. 52 indexed citations
11.
Novotný, Michal, Jan Rusz, Roman Čmejla, et al.. (2016). Hypernasality associated with basal ganglia dysfunction: evidence from Parkinson’s disease and Huntington’s disease. PeerJ. 4. e2530–e2530. 25 indexed citations
12.
Dulski, Jarosław, Witold Sołtan, Michał Schinwelski, et al.. (2016). Clinical variability of neuroacanthocytosis syndromes—a series of six patients with long follow-up. Clinical Neurology and Neurosurgery. 147. 78–83. 18 indexed citations
13.
Klempíř, Jiří, Petra Havránková, & Robert Jech. (2015). Terapie Parkinsonovy nemoci levodopou v kontinuální enterální infuzi. Neurologie pro praxi. 16(2). 84–87. 1 indexed citations
14.
Zakharov, Sergey, Daniela Pelclová, Pavel Urban, et al.. (2014). Czech mass methanol outbreak 2012: Epidemiology, challenges and clinical features. Clinical Toxicology. 52(10). 1013–1024. 110 indexed citations
15.
Rusz, Jan, Jiří Klempíř, Tereza Tykalová, et al.. (2013). Objective Acoustic Quantification of Phonatory Dysfunction in Huntington's Disease. PLoS ONE. 8(6). e65881–e65881. 27 indexed citations
16.
Uhrová, Tereza, et al.. (2013). Importance of psychiatric examination in predictive genetic testing for Huntington disease. Neurologia i Neurochirurgia Polska. 47(6). 534–541. 3 indexed citations
17.
Uhrová, Tereza & Jiří Klempíř. (2011). Delirium - obecný úvod do problematiky. Neurologie pro praxi. 12(5). 304–306. 1 indexed citations
18.
Rusz, Jan, Roman Čmejla, Hana Růžičková, et al.. (2011). Acoustic analysis of voice and speech characteristics in early untreated Parkinson's disease.. 181–184. 10 indexed citations
19.
Roth, Jan, Jiří Klempíř, & Tereza Uhrová. (2009). Současné terapeutické možnosti u Huntingtonovy nemoci. 10(5). 205–208. 1 indexed citations
20.
Klempíř, Jiří, Jan Roth, Kateřina Zárubová, et al.. (2007). The McLeod syndrome without acanthocytes. Parkinsonism & Related Disorders. 14(4). 364–366. 9 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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