Eva Hényková

770 total citations
11 papers, 584 citations indexed

About

Eva Hényková is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Eva Hényková has authored 11 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 5 papers in Physiology. Recurrent topics in Eva Hényková's work include Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Plant Molecular Biology Research (3 papers). Eva Hényková is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Plant Molecular Biology Research (3 papers). Eva Hényková collaborates with scholars based in Czechia, Sweden and Italy. Eva Hényková's co-authors include Ondřej Novák, Karin Ljung, Mariusz Kowalczyk, Tomáš Pospíšil, Ilkka Sairanen, Miroslav Strnad, Petr Kaňovský, Kateřina Menšíková, David Stejskal and Hana Přikrylová Vranová and has published in prestigious journals such as The Plant Cell, Neurology and The Plant Journal.

In The Last Decade

Eva Hényková

11 papers receiving 575 citations

Peers

Eva Hényková

PHYSI

NEURO

Jan Lehmbeck Denmark

Jon M. Reed United States

Pierre Grognet France

Anna Stachowiak Poland

Katleen Fierens Belgium

Maxine J Fowler United Kingdom

Yuanyuan Wei China

Oliver Bannach Germany

Sridhar A. Malkaram United States

Kefu Liu China

Jan Lehmbeck Denmark

Eva Hényková

142 ×0.4

542 ×1.6

81 ×1.0

PHYSI

13 ×0.2

NEURO

16 ×0.4

Citations per year, relative to Eva Hényková Eva Hényková (= 1×) peers Jan Lehmbeck

Countries citing papers authored by Eva Hényková

Since Specialization

Citations

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

Fields of papers citing papers by Eva Hényková

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Hényková

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

All Works

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11 of 11 papers shown

Hényková, Eva, Kateřina Menšíková, David Friedecký, et al.. (2024). Patients with Neurodegenerative Proteinopathies Exhibit Altered Tryptophan Metabolism in the Serum and Cerebrospinal Fluid. ACS Chemical Neuroscience. 15(3). 582–592. 13 indexed citations

Menšíková, Kateřina, Michaela Kaiserová, Hana Přikrylová Vranová, et al.. (2023). Cerebrospinal fluid and blood serum biomarkers in neurodegenerative proteinopathies: A prospective, open, cross‐correlation study. Journal of Neurochemistry. 167(2). 168–182. 12 indexed citations

Hényková, Eva, et al.. (2022). Quantitative Determination of Endogenous Tetrahydroisoquinolines, Potential Parkinson’s Disease Biomarkers, in Mammals. ACS Chemical Neuroscience. 13(23). 3230–3246. 4 indexed citations

Menšíková, Kateřina, Lucie Tučková, Eva Hényková, et al.. (2022). Biomarkers of Neurodegenerative Diseases: Biology, Taxonomy, Clinical Relevance, and Current Research Status. Biomedicines. 10(7). 1760–1760. 58 indexed citations

Edwards, Kieron D., Naoki Takata, Mikael Johansson, et al.. (2018). Circadian clock components control daily growth activities by modulating cytokinin levels and cell division‐associated gene expression in Populus trees. Plant Cell & Environment. 41(6). 1468–1482. 25 indexed citations

Hényková, Eva, Hana Přikrylová Vranová, Tomáš Pospíšil, et al.. (2016). Stable isotope dilution ultra-high performance liquid chromatography–tandem mass spectrometry quantitative profiling of tryptophan-related neuroactive substances in human serum and cerebrospinal fluid. Journal of Chromatography A. 1437. 145–157. 47 indexed citations

Vranová, Hana Přikrylová, Eva Hényková, Jan Mareš, et al.. (2015). Clusterin CSF levels in differential diagnosis of neurodegenerative disorders. Journal of the Neurological Sciences. 361. 117–121. 27 indexed citations

Vranová, Hana Přikrylová, Eva Hényková, Michaela Kaiserová, et al.. (2014). Tau protein, beta-amyloid1–42 and clusterin CSF levels in the differential diagnosis of Parkinsonian syndrome with dementia. Journal of the Neurological Sciences. 343(1-2). 120–124. 51 indexed citations

Pěnčík, Aleš, Eva Hényková, Sibu Simon, et al.. (2013). Regulation of Auxin Homeostasis and Gradients in Arabidopsis Roots through the Formation of the Indole-3-Acetic Acid Catabolite 2-Oxindole-3-Acetic Acid. The Plant Cell. 25(10). 3858–3870. 121 indexed citations

10.

Vranová, Hana Přikrylová, Eva Hényková, Michaela Kaiserová, et al.. (2013). Tau Protein, beta-Amyloid 1-42 and Clusterin CSF Levels in Differential Diagnosis of Parkinsonian Syndrome with Dementia (P04.156). Neurology. 80(7_supplement). 1 indexed citations

11.

Novák, Ondřej, Eva Hényková, Ilkka Sairanen, et al.. (2012). Tissue‐specific profiling of the Arabidopsis thaliana auxin metabolome. The Plant Journal. 72(3). 523–536. 225 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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