Petra Nytrová

1.2k total citations
27 papers, 453 citations indexed

About

Petra Nytrová is a scholar working on Pathology and Forensic Medicine, Neurology and Rheumatology. According to data from OpenAlex, Petra Nytrová has authored 27 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 9 papers in Neurology and 7 papers in Rheumatology. Recurrent topics in Petra Nytrová's work include Multiple Sclerosis Research Studies (17 papers), Peripheral Neuropathies and Disorders (6 papers) and Systemic Lupus Erythematosus Research (5 papers). Petra Nytrová is often cited by papers focused on Multiple Sclerosis Research Studies (17 papers), Peripheral Neuropathies and Disorders (6 papers) and Systemic Lupus Erythematosus Research (5 papers). Petra Nytrová collaborates with scholars based in Czechia, United Kingdom and United States. Petra Nytrová's co-authors include Angela Vincent, Patrick Waters, Yael Hacohen, Mark Woodhall, Cheryl Hemingway, Michael Absoud, Marc Tardieu, Kumaran Deiva, Ming Lim and Jacqueline Palace and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Petra Nytrová

19 papers receiving 443 citations

Peers

Petra Nytrová
Vanessa Daccach Marques Brazil
Patrick Peschl Austria
Tania Kuempfel Germany
Tomohiko Uchida Japan
Roos M. van der Vuurst de Vries Netherlands
Dan Whittam United Kingdom
Csilla Rózsa Hungary
Jan Mendelt Tillema United States
Andrew G. Murchison United Kingdom
Edward Littleton United Kingdom
Vanessa Daccach Marques Brazil
Petra Nytrová
Citations per year, relative to Petra Nytrová Petra Nytrová (= 1×) peers Vanessa Daccach Marques

Countries citing papers authored by Petra Nytrová

Since Specialization
Citations

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

Fields of papers citing papers by Petra Nytrová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Nytrová

This figure shows the co-authorship network connecting the top 25 collaborators of Petra Nytrová. A scholar is included among the top collaborators of Petra Nytrová 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 Petra Nytrová. Petra Nytrová 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.
Martin‐Gutierrez, Lucia, Kirsty E. Waddington, Nina Yang, et al.. (2024). Dysregulated lipid metabolism networks modulate T-cell function in people with relapsing-remitting multiple sclerosis. Clinical & Experimental Immunology. 217(2). 204–218. 10 indexed citations
2.
Robertson, G S M, Lucia Martin‐Gutierrez, Kirsty E. Waddington, et al.. (2024). Blood metabolomic and transcriptomic signatures stratify patient subgroups in multiple sclerosis according to disease severity. iScience. 27(3). 109225–109225. 12 indexed citations
3.
Nytrová, Petra, Astrid Guldbrandsen, Eva Havrdová, et al.. (2024). Natalizumab promotes anti-inflammatory and repair effects in multiple sclerosis. PLoS ONE. 19(3). e0300914–e0300914. 4 indexed citations
4.
Serranová, Tereza, Tomáš Sieger, Petr Dušek, et al.. (2024). Abnormal Cerebrospinal Fluid Cytology in Functional Movement Disorders. Psychosomatic Medicine. 86(6). 555–560. 1 indexed citations
5.
Adriani, Marsilio, Pierre Dönnes, Kirsty E. Waddington, et al.. (2024). Patients with multiple sclerosis who develop immunogenicity to interferon-beta have distinct transcriptomic and proteomic signatures prior to treatment which are associated with disease severity. Clinical Immunology. 267. 110339–110339. 2 indexed citations
6.
Pontieri, Luigi, et al.. (2023). COVID‐19 vaccination and relapse activity: A nationwide cohort study of patients with multiple sclerosis in Denmark. European Journal of Neurology. 31(3). e16163–e16163. 2 indexed citations
7.
Nytrová, Petra, et al.. (2023). Immunity following SARS-CoV-2 vaccination in autoimmune neurological disorders treated with rituximab or ocrelizumab. Frontiers in Immunology. 14. 1149629–1149629. 5 indexed citations
8.
Nytrová, Petra & Ondřej Doležal. (2022). Sex bias in multiple sclerosis and neuromyelitis optica spectrum disorders: How it influences clinical course, MRI parameters and prognosis. Frontiers in Immunology. 13. 933415–933415. 14 indexed citations
9.
Vaněčková, Manuela & Petra Nytrová. (2022). Pathological magnetic resonance imaging findings in myelin oligodendrocyte glycoprotein antibody-associated disease. Česká a slovenská neurologie a neurochirurgie. 85/118(4). 1 indexed citations
10.
Burgetová, Andrea, Petr Dušek, Petra Nytrová, et al.. (2020). Deep Gray Matter Iron Content in Neuromyelitis Optica and Multiple Sclerosis. BioMed Research International. 2020(1). 6492786–6492786. 18 indexed citations
11.
Dostálová, Simona, et al.. (2020). Rare Case of Late-Onset Narcolepsy Type 1. SHILAP Revista de lepidopterología. 12(3). 428–432. 4 indexed citations
12.
Waddington, Kirsty E., Artemis Papadaki, Marsilio Adriani, et al.. (2020). Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ. Frontiers in Immunology. 11. 1527–1527. 29 indexed citations
13.
Nytrová, Petra, et al.. (2017). Neuropsychiatrické poruchy u roztroušené sklerózy. 14(2). 37–45. 1 indexed citations
14.
Pache, Florence, Judith Bellmann–Strobl, Janina Behrens, et al.. (2016). Neuromyelitis optica does not impact periventricular venous density versus healthy controls: a 7.0 Tesla MRI clinical study. Magnetic Resonance Materials in Physics Biology and Medicine. 29(3). 535–541. 10 indexed citations
15.
Hacohen, Yael, Michael Absoud, Kumaran Deiva, et al.. (2015). Myelin oligodendrocyte glycoprotein antibodies are associated with a non-MS course in children. Neurology Neuroimmunology & Neuroinflammation. 2(2). e81–e81. 149 indexed citations
16.
Nytrová, Petra, Eliška Potluková, David Kemlink, et al.. (2014). Complement activation in patients with neuromyelitis optica. Journal of Neuroimmunology. 274(1-2). 185–191. 60 indexed citations
17.
Krasulová, Eva, et al.. (2012). Autoimunitní limbická encefalitida asociovaná s LGI1 protilátkami. Neurologie pro praxi. 13(6). 343–346.
18.
Granieri, Letizia, Fabiana Marnetto, Paola Valentino, et al.. (2012). Evaluation of a Multiparametric Immunofluorescence Assay for Standardization of Neuromyelitis Optica Serology. PLoS ONE. 7(6). e38896–e38896. 16 indexed citations
19.
Závada, Jakub, Petra Nytrová, K.P. Wandinger, et al.. (2011). Seroprevalence and specificity of NMO-IgG (anti-aquaporin 4 antibodies) in patients with neuropsychiatric systemic lupus erythematosus. Rheumatology International. 33(1). 259–263. 30 indexed citations
20.
Marnetto, Fabiana, Letizia Granieri, Jessica Frau, et al.. (2009). Western blot analysis for the detection of serum antibodies recognizing linear Aquaporin-4 epitopes in patients with Neuromyelitis Optica. Journal of Neuroimmunology. 217(1-2). 74–79. 30 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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