Olga Zapletalová

2.1k citations
26 papers · 751 indexed · h-index 10

Olga Zapletalová

21 papers receiving 707 citations

Peers

Olga Zapletalová
Comparison fields: 5 of 70
  • Pharmacology 345
  • Neurology 260
  • Pathology and Forensic Medicine 307
  • Toxicology 34
  • Cellular and Molecular Neuroscience 107
Replace Iveta Nováková with:
Iveta Nováková Czechia
A. Lledó Spain
Satoshi Oka Japan
Arie Weinstock United States
M Saunders United Kingdom
Maria Rosaria Tola Italy
Şevki Şahin Türkiye
Sujana Reddy United States
Gregory Demopulos Italy
Fang Gao China
Olga Zapletalová relative to Iveta Nováková Czechia Iveta Nováková's profile →
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Citations per year

Countries citing papers authored by Olga Zapletalová

Since Specialization
Citations

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

Fields of papers citing papers by Olga Zapletalová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Olga Zapletalová, 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 Olga Zapletalová Line = papers co-authored together Olga Zapletalová links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20214
2 20207
3 202028
4 201931
5 201624
6 20161
7 20160
8 201513
9 201417
10
Klinický standard pro diagnostiku a léčbu myasthenia gravis
20121
11 20128
12 20123
13 2011313
14 2010209
15 200919
16
Výsledky léčby neurogenních dysfunkcí dolních cest močových aplikací botulinumtoxinu do detruzoru
20071
17 200745
18 200715
19
[Pregnancy and multiple sclerosis].
20051
20
Neurologické komplikace protinádorové léčby
20030

About Olga Zapletalová

Olga Zapletalová is a scholar working on Neurology, Pathology and Forensic Medicine and Internal Medicine, having authored 26 papers that have together received 751 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Peripheral Neuropathies and Disorders (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Cerebral Venous Sinus Thrombosis (2 papers), Retinal and Optic Conditions (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Pharmacology (345 citations), Neurology (260 citations) and Pathology and Forensic Medicine (307 citations). Olga Zapletalová has collaborated with scholars based in Czechia, Slovakia and United Kingdom. Frequent co-authors include Zdeněk Ambler, S. Ratcliffe, Paul Davies, Iveta Nováková, Pavel Hradílek, David Zeman, Pavlína Kušnierová, Marta Vachová, Jan Mareš and Claudio Gasperini. Their work appears in journals such as PLoS ONE, Neurology and Clinica Chimica Acta.

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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