Iveta Nováková

2.8k total citations
7 papers, 848 citations indexed

About

Iveta Nováková is a scholar working on Neurology, Immunology and Pharmacology. According to data from OpenAlex, Iveta Nováková has authored 7 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Immunology and 2 papers in Pharmacology. Recurrent topics in Iveta Nováková's work include Toxin Mechanisms and Immunotoxins (3 papers), Cannabis and Cannabinoid Research (2 papers) and Myasthenia Gravis and Thymoma (2 papers). Iveta Nováková is often cited by papers focused on Toxin Mechanisms and Immunotoxins (3 papers), Cannabis and Cannabinoid Research (2 papers) and Myasthenia Gravis and Thymoma (2 papers). Iveta Nováková collaborates with scholars based in Czechia, United Kingdom and Italy. Iveta Nováková's co-authors include S. Ratcliffe, Alena Novotná, Jan Mareš, Marta Vachová, William Notcutt, Paul Davies, Zdeněk Ambler, Olga Zapletalová, Richard Langford and A Klimek and has published in prestigious journals such as Clinica Chimica Acta, Journal of the Neurological Sciences and Journal of Neurology.

In The Last Decade

Iveta Nováková

7 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iveta Nováková Czechia	7	493	304	257	137	123	7	848
Olga Zapletalová Czechia	10	345 0.7×	307 1.0×	260 1.0×	124 0.9×	107 0.9×	26	751
Marta Vachová Czechia	8	361 0.7×	208 0.7×	149 0.6×	97 0.7×	95 0.8×	21	627
Alena Novotná Czechia	4	361 0.7×	155 0.5×	135 0.5×	86 0.6×	99 0.8×	7	522
Zdeněk Ambler Czechia	5	347 0.7×	204 0.7×	172 0.7×	109 0.8×	88 0.7×	16	558
Sarah Youssof United States	8	314 0.6×	47 0.2×	60 0.2×	8 0.1×	112 0.9×	14	560
Elena Kornyeyeva United States	5	261 0.5×	29 0.1×	25 0.1×	21 0.2×	67 0.5×	5	459
Jordi Pérez Canada	13	173 0.4×	53 0.2×	38 0.1×	19 0.1×	54 0.4×	49	484
Angelica Cerulli Italy	16	107 0.2×	80 0.3×	63 0.2×	9 0.1×	69 0.6×	23	1.2k
Kyle Gress United States	15	155 0.3×	76 0.3×	26 0.1×	17 0.1×	65 0.5×	30	625
Claus Madsen Denmark	9	63 0.1×	37 0.1×	209 0.8×	23 0.2×	47 0.4×	13	560

Countries citing papers authored by Iveta Nováková

Since Specialization

Citations

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

Fields of papers citing papers by Iveta Nováková

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iveta Nováková

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

All Works

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7 of 7 papers shown

Jakubíková, Michala, Michaela Týblová, Iveta Nováková, et al.. (2021). Predictive factors for a severe course of COVID‐19 infection in myasthenia gravis patients with an overall impact on myasthenic outcome status and survival. European Journal of Neurology. 28(10). 3418–3425. 52 indexed citations

Jakubíková, Michala, Jiří Piťha, Helena Marečková, et al.. (2015). Two-year outcome of thymectomy with or without immunosuppressive treatment in nonthymomatous myasthenia gravis and its effect on regulatory T cells. Journal of the Neurological Sciences. 358(1-2). 101–106. 7 indexed citations

Langford, Richard, Jan Mareš, Alena Novotná, et al.. (2012). A double-blind, randomized, placebo-controlled, parallel-group study of THC/CBD oromucosal spray in combination with the existing treatment regimen, in the relief of central neuropathic pain in patients with multiple sclerosis. Journal of Neurology. 260(4). 984–997. 187 indexed citations

Novotná, Alena, Jan Mareš, S. Ratcliffe, et al.. (2011). A randomized, double-blind, placebo-controlled, parallel-group, enriched-design study of nabiximols* (Sativex^®), as add-on therapy, in subjects with refractory spasticity caused by multiple sclerosis. European Journal of Neurology. 18(9). 1122–1131. 313 indexed citations

Collin, Christine, Edvard Ehler, Paul Davies, et al.. (2010). A double-blind, randomized, placebo-controlled, parallel-group study of Sativex, in subjects with symptoms of spasticity due to multiple sclerosis. Neurological Research. 32(5). 451–459. 209 indexed citations

Havrdová, Eva, Robert Zivadinov, Jan Krásenský, et al.. (2009). Randomized study of interferon beta-1a, low-dose azathioprine, and low-dose corticosteroids in multiple sclerosis. Multiple Sclerosis Journal. 15(8). 965–976. 59 indexed citations

Štěpán, J, Eva Havrdová, Michaela Týblová, et al.. (2004). Markers of bone remodeling predict rate of bone loss in multiple sclerosis patients treated with low dose glucocorticoids. Clinica Chimica Acta. 348(1-2). 147–154. 21 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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