Pavel Seeman

4.5k total citations
99 papers, 1.6k citations indexed

About

Pavel Seeman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Pavel Seeman has authored 99 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cellular and Molecular Neuroscience, 39 papers in Molecular Biology and 30 papers in Neurology. Recurrent topics in Pavel Seeman's work include Hereditary Neurological Disorders (45 papers), Neurological diseases and metabolism (22 papers) and Genetic Neurodegenerative Diseases (15 papers). Pavel Seeman is often cited by papers focused on Hereditary Neurological Disorders (45 papers), Neurological diseases and metabolism (22 papers) and Genetic Neurodegenerative Diseases (15 papers). Pavel Seeman collaborates with scholars based in Czechia, Germany and United States. Pavel Seeman's co-authors include Radim Mazanec, Petra Laššuthová, Dana Šafka Brožková, E Seemanová, Jana Neupauerová, Jana Haberlová, Bernd Rautenstrauß, Marcela Krůtová, Peter De Jonghe and Jana Haberlová and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Pavel Seeman

96 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Seeman Czechia 22 778 576 387 299 289 99 1.6k
Zhengmao Hu China 25 1000 1.3× 430 0.7× 209 0.5× 80 0.3× 535 1.9× 127 1.9k
Teresa Jaijo Spain 22 984 1.3× 196 0.3× 264 0.7× 597 2.0× 151 0.5× 58 1.4k
Marie-Catherine Tiveron France 17 906 1.2× 538 0.9× 142 0.4× 68 0.2× 204 0.7× 28 1.6k
Vance Handley United States 23 790 1.0× 584 1.0× 183 0.5× 64 0.2× 132 0.5× 30 1.5k
Tarja Joensuu Finland 19 670 0.9× 158 0.3× 134 0.3× 252 0.8× 344 1.2× 31 1.3k
Wael M. ElShamy United States 21 781 1.0× 632 1.1× 74 0.2× 240 0.8× 123 0.4× 41 1.7k
Makoto Horiuchi United States 22 740 1.0× 415 0.7× 416 1.1× 34 0.1× 240 0.8× 44 1.6k
F.J. Roisen United States 16 777 1.0× 627 1.1× 100 0.3× 144 0.5× 82 0.3× 32 1.5k
Güney Bademci United States 19 582 0.7× 91 0.2× 166 0.4× 356 1.2× 331 1.1× 63 1.1k
Kirsten Obernier United States 18 1.2k 1.6× 545 0.9× 322 0.8× 42 0.1× 262 0.9× 20 2.1k

Countries citing papers authored by Pavel Seeman

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Seeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Seeman

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Seeman. A scholar is included among the top collaborators of Pavel Seeman 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 Pavel Seeman. Pavel Seeman 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.
Sedláčková, Lucie, Katalin Štěrbová, Markéta Vlčková, et al.. (2023). Yield of exome sequencing in patients with developmental and epileptic encephalopathies and inconclusive targeted gene panel. European Journal of Paediatric Neurology. 48. 17–29. 3 indexed citations
2.
Schob, Claudia, Maja Hempel, Dana Šafka Brožková, et al.. (2021). Dominant KPNA3 Mutations Cause Infantile‐Onset Hereditary Spastic Paraplegia. Annals of Neurology. 90(5). 738–750. 6 indexed citations
3.
Brožková, Dana Šafka, Petra Laššuthová, Lukáš Varga, et al.. (2021). The Cause of Hereditary Hearing Loss in GJB2 Heterozygotes—A Comprehensive Study of the GJB2/DFNB1 Region. Genes. 12(5). 684–684. 10 indexed citations
4.
5.
Laššuthová, Petra, Katharina Vill, Sevim Erdem‐Özdamar, et al.. (2018). Novel SBF2 mutations and clinical spectrum of Charcot‐Marie‐Tooth neuropathy type 4B2. Clinical Genetics. 94(5). 467–472. 7 indexed citations
6.
Brožková, Dana Šafka, et al.. (2018). STRC Gene Mutations, Mainly Large Deletions, are a Very Important Cause of Early-Onset Hereditary Hearing Loss in the Czech Population. Genetic Testing and Molecular Biomarkers. 22(2). 127–134. 18 indexed citations
7.
Brožková, Dana Šafka, et al.. (2018). Autosomal recessive hereditary spastic paraplegia type SPG35 due to a novel variant in the FA2H gene in a Czech patient. Journal of Clinical Neuroscience. 59. 337–339. 3 indexed citations
8.
Laššuthová, Petra, Katalin Štěrbová, Markéta Vlčková, et al.. (2018). Detection rate of causal variants in severe childhood epilepsy is highest in patients with seizure onset within the first four weeks of life. Orphanet Journal of Rare Diseases. 13(1). 71–71. 22 indexed citations
9.
Neupauerová, Jana, Katalin Štěrbová, Markéta Vlčková, et al.. (2017). Two Novel Variants Affecting CDKL5 Transcript Associated with Epileptic Encephalopathy. Genetic Testing and Molecular Biomarkers. 21(10). 613–618. 10 indexed citations
10.
Mazanec, Radim, et al.. (2016). Hereditary spastic paraplegias: clinical and genetic aspects. Neurologie pro praxi. 17(6). 373–376. 1 indexed citations
11.
Šoltýsová, Andrea, Lukáš Varga, Andrej Ficek, et al.. (2015). MARVELD2 (DFNB49) Mutations in the Hearing Impaired Central European Roma Population - Prevalence, Clinical Impact and the Common Origin. PLoS ONE. 10(4). e0124232–e0124232. 16 indexed citations
12.
Laššuthová, Petra, Dana Šafka Brožková, Marcela Krůtová, et al.. (2014). Mutations in HINT1 are one of the most frequent causes of hereditary neuropathy among Czech patients and neuromyotonia is rather an underdiagnosed symptom. Neurogenetics. 16(1). 43–54. 31 indexed citations
13.
Brožková, Dana Šafka, B. Petrák, Jana Haberlová, et al.. (2013). HomozygousEXOSC3Mutation c.92G→C, p.G31A is a Founder Mutation Causing Severe Pontocerebellar Hypoplasia Type 1 Among the Czech Roma. Journal of Neurogenetics. 27(4). 163–169. 26 indexed citations
14.
Knežević, Jelena, et al.. (2009). GJB2 Mutations in Patients with Nonsyndromic Hearing Loss from Croatia. Genetic Testing and Molecular Biomarkers. 13(5). 693–699. 24 indexed citations
15.
Brožková, Dana Šafka, et al.. (2009). Six New Gap Junction Beta 1 Gene Mutations and Their Phenotypic Expression in Czech Patients with Charcot-Marie-Tooth Disease. Genetic Testing and Molecular Biomarkers. 14(1). 3–7. 11 indexed citations
16.
Laššuthová, Petra, et al.. (2009). Emery-Dreifuss Muscular Dystrophy: A Novel Mutation in the LMNA Gene. Pediatric Neurology. 41(2). 127–130. 3 indexed citations
17.
Seeman, Pavel, et al.. (2006). Quantitative Multiplex Real-Time PCR for Detection of PLP1 Gene Duplications in Pelizaeus–Merzbacher Patients. Genetic Testing. 10(3). 215–220. 9 indexed citations
18.
19.
Seemanová, E, Heidemarie Neitzel, Raymonda Varon, et al.. (2005). Nijmegen breakage syndrome (NBS) with neurological abnormalities and without chromosomal instability. Journal of Medical Genetics. 43(3). 218–224. 37 indexed citations
20.
Seeman, Pavel, Radim Mazanec, T Maríková, & Bernd Rautenstrauß. (1999). Charcot‐Marie‐Tooth 1A: Heterozygous T118M Mutation over a CMT1A Duplication Has No Influence on the Phenotype. Annals of the New York Academy of Sciences. 883(1). 485–489. 7 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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