Jan Říčný

1.7k total citations
60 papers, 1.3k citations indexed

About

Jan Říčný is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Říčný has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Physiology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan Říčný's work include Alzheimer's disease research and treatments (20 papers), Neuroscience and Neuropharmacology Research (13 papers) and Receptor Mechanisms and Signaling (10 papers). Jan Říčný is often cited by papers focused on Alzheimer's disease research and treatments (20 papers), Neuroscience and Neuropharmacology Research (13 papers) and Receptor Mechanisms and Signaling (10 papers). Jan Říčný collaborates with scholars based in Czechia, Slovakia and United States. Jan Říčný's co-authors include Daniela Řı́pová, Aleš Bartoš, Michala Kolarova, Francisco García‐Sierra, S Tucek, B. Collier, Stanislav Tuček, Zdena Krištofíková, J Mysliveček and Jiřı́ Homola and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Respiratory and Critical Care Medicine and Analytical Biochemistry.

In The Last Decade

Jan Říčný

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Říčný Czechia 19 584 491 344 284 137 60 1.3k
Laurent Lecanu United States 20 498 0.9× 516 1.1× 353 1.0× 229 0.8× 172 1.3× 42 1.4k
Maíra A. Bicca Brazil 20 537 0.9× 813 1.7× 280 0.8× 305 1.1× 178 1.3× 31 1.7k
Xénia Latypova France 7 642 1.1× 797 1.6× 280 0.8× 259 0.9× 179 1.3× 15 1.3k
Christine Mavros Australia 6 540 0.9× 1.1k 2.2× 173 0.5× 323 1.1× 143 1.0× 6 1.7k
Katalin Soós Hungary 18 478 0.8× 763 1.6× 302 0.9× 291 1.0× 125 0.9× 40 1.2k
Núria Durany Spain 17 567 1.0× 586 1.2× 541 1.6× 215 0.8× 237 1.7× 26 1.7k
Teresa Chu United States 11 607 1.0× 766 1.6× 371 1.1× 320 1.1× 256 1.9× 13 1.8k
Jeffrey W. Cramer United States 14 450 0.8× 639 1.3× 346 1.0× 141 0.5× 112 0.8× 20 1.3k
María‐Salud García‐Ayllón Spain 21 472 0.8× 536 1.1× 207 0.6× 506 1.8× 119 0.9× 48 1.4k
Malahat Mousavi Sweden 19 797 1.4× 462 0.9× 339 1.0× 438 1.5× 115 0.8× 24 1.3k

Countries citing papers authored by Jan Říčný

Since Specialization
Citations

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

Fields of papers citing papers by Jan Říčný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Říčný

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Říčný. A scholar is included among the top collaborators of Jan Říčný 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 Jan Říčný. Jan Říčný 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.
Říčný, Jan, et al.. (2022). Endogenous Modulators of NMDA Receptor Control Dendritic Field Expansion of Cortical Neurons. Molecular Neurobiology. 60(3). 1440–1452. 6 indexed citations
3.
Říčný, Jan, et al.. (2018). Changes in concentrations of tau-reactive antibodies are dependent on sex in Alzheimer's disease patients. Journal of Neuroimmunology. 322. 1–8. 9 indexed citations
4.
5.
Hořák, Martin, Kristína Holubová, Eugenie Nepovimová, et al.. (2017). The pharmacology of tacrine at N -methyl- d -aspartate receptors. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 75. 54–62. 52 indexed citations
6.
Krištofíková, Zdena, Jan Říčný, Martin Vyhnálek, et al.. (2015). Levels of 17β-Hydroxysteroid Dehydrogenase Type 10 in Cerebrospinal Fluid of People with Mild Cognitive Impairment and Various Types of Dementias. Journal of Alzheimer s Disease. 48(1). 105–114. 6 indexed citations
7.
Korábečný, Jan, Rafael Doležal, Anna Horova, et al.. (2014). 7-MEOTA–donepezil like compounds as cholinesterase inhibitors: Synthesis, pharmacological evaluation, molecular modeling and QSAR studies. European Journal of Medicinal Chemistry. 82. 426–438. 71 indexed citations
8.
Říčný, Jan. (2013). Overlooked Alzheimer’s Smoking Gun?. Neurochemical Research. 38(9). 1774–1776. 1 indexed citations
9.
Krištofíková, Zdena, Daniela Řı́pová, Aleš Bartoš, et al.. (2013). Neuroinflammation and Complexes of 17β -Hydroxysteroid Dehydrogenase type 10 - Amyloid β in Alzheimer's Disease. Current Alzheimer Research. 10(2). 165–173. 9 indexed citations
10.
Gažová, Zuzana, Andrea Antošová, Zdena Krištofíková, et al.. (2010). Attenuated antiaggregation effects of magnetite nanoparticles in cerebrospinal fluid of people with Alzheimer's disease. Molecular BioSystems. 6(11). 2200–2205. 8 indexed citations
11.
Krištofíková, Zdena, Markéta Bocková, Kateřina Hegnerová, et al.. (2009). Enhanced levels of mitochondrial enzyme17β-hydroxysteroid dehydrogenase type 10 in patients with Alzheimer disease and multiple sclerosis. Molecular BioSystems. 5(10). 1174–1179. 28 indexed citations
12.
Krištofíková, Zdena, et al.. (2008). Lateralization of 17Beta-Hydroxysteroid Dehydrogenase Type 10 in Hippocampi of Demented and Psychotic People. Dementia and Geriatric Cognitive Disorders. 26(3). 193–198. 12 indexed citations
13.
Mysliveček, J, Martin Klein, Martina Nováková, & Jan Říčný. (2008). The detection of the non-M2 muscarinic receptor subtype in the rat heart atria and ventricles. Naunyn-Schmiedeberg s Archives of Pharmacology. 378(1). 103–116. 21 indexed citations
14.
Krištofíková, Zdena, et al.. (2008). Lateralization of hippocampal nitric oxide mediator system in people with Alzheimer disease, multi-infarct dementia and schizophrenia. Neurochemistry International. 53(5). 118–125. 26 indexed citations
15.
Krištofíková, Zdena, et al.. (2006). Sex-dependent Actions of Amyloid Beta Peptides on Hippocampal Choline Carriers of Postnatal Rats. Neurochemical Research. 31(3). 351–360. 8 indexed citations
16.
Mysliveček, J, Jan Říčný, František Kolář, & Stanislav Tuček. (2003). The effects of hydrocortisone on rat heart muscarinic and adrenergic α1, β1 and β2 receptors, propranolol-resistant binding sites and on some subsequent steps in intracellular signalling. Naunyn-Schmiedeberg s Archives of Pharmacology. 368(5). 366–376. 26 indexed citations
18.
Říčný, Jan & Victor P. Whittaker. (1993). Vesamicol blocks the recovery, by recycling cholinergic electromotor synaptic vesicles, of the biophysical characteristics of the reserve population. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1148(2). 234–238. 7 indexed citations
19.
Tucek, S, Jan Říčný, & Vladimı́r Doležal. (1990). Advances in the biology of cholinergic neurons.. PubMed. 51. 109–15. 8 indexed citations
20.
Říčný, Jan, J. Čoupek, & Stanislav Tuček. (1989). Determination of acetylcholine and choline by flow-injection with immobilized enzymes and fluorometric or luminometric detection. Analytical Biochemistry. 176(2). 221–227. 23 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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