Nadežda Lukáčová

1.3k total citations
70 papers, 1.0k citations indexed

About

Nadežda Lukáčová is a scholar working on Pathology and Forensic Medicine, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nadežda Lukáčová has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pathology and Forensic Medicine, 38 papers in Physiology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nadežda Lukáčová's work include Spinal Cord Injury Research (31 papers), Nitric Oxide and Endothelin Effects (20 papers) and Pain Mechanisms and Treatments (14 papers). Nadežda Lukáčová is often cited by papers focused on Spinal Cord Injury Research (31 papers), Nitric Oxide and Endothelin Effects (20 papers) and Pain Mechanisms and Treatments (14 papers). Nadežda Lukáčová collaborates with scholars based in Slovakia, Bulgaria and United States. Nadežda Lukáčová's co-authors include J Maršala, Martin Maršala, Dáša Čı́žková, Ján Gálik, Judita Orendáčová, Jaroslav Pavel, Małgorzata Chalimoniuk, Józef Langfort, I Šulla and Tony L. Yaksh and has published in prestigious journals such as PLoS ONE, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Nadežda Lukáčová

69 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadežda Lukáčová Slovakia 17 440 431 328 258 155 70 1.0k
Olivera Nešić United States 15 357 0.8× 381 0.9× 261 0.8× 232 0.9× 95 0.6× 20 935
Megan Ryan Detloff United States 16 461 1.0× 584 1.4× 354 1.1× 290 1.1× 143 0.9× 26 1.3k
J Maršala Slovakia 23 589 1.3× 526 1.2× 388 1.2× 314 1.2× 183 1.2× 91 1.4k
Kathia M. Johnson United States 24 676 1.5× 546 1.3× 580 1.8× 389 1.5× 106 0.7× 34 1.5k
Jee Y. Lee South Korea 22 309 0.7× 584 1.4× 413 1.3× 378 1.5× 142 0.9× 23 1.6k
Suelen Adriani Marques Brazil 15 315 0.7× 168 0.4× 354 1.1× 197 0.8× 143 0.9× 25 893
H.S. Sharma Sweden 21 418 0.9× 258 0.6× 257 0.8× 315 1.2× 67 0.4× 35 1.2k
Alan I. Faden United States 18 265 0.6× 524 1.2× 562 1.7× 423 1.6× 139 0.9× 20 1.3k
Denise Matzelle United States 25 160 0.4× 515 1.2× 446 1.4× 509 2.0× 81 0.5× 42 1.5k
Judita Orendáčová Slovakia 15 227 0.5× 213 0.5× 149 0.5× 139 0.5× 100 0.6× 38 635

Countries citing papers authored by Nadežda Lukáčová

Since Specialization
Citations

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

Fields of papers citing papers by Nadežda Lukáčová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadežda Lukáčová

This figure shows the co-authorship network connecting the top 25 collaborators of Nadežda Lukáčová. A scholar is included among the top collaborators of Nadežda Lukáčová 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 Nadežda Lukáčová. Nadežda Lukáčová 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
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Lukáčová, Nadežda, et al.. (2021). Glial-Neuronal Interactions in Pathogenesis and Treatment of Spinal Cord Injury. International Journal of Molecular Sciences. 22(24). 13577–13577. 58 indexed citations
3.
Marsala, Silvia, Michael Navarro, Manabu Kakinohana, et al.. (2018). Time-dependent, bidirectional, anti- and pro-spinal hyper-reflexia and muscle spasticity effect after chronic spinal glycine transporter 2 (GlyT2) oligonucleotide-induced downregulation. Experimental Neurology. 305. 66–75. 2 indexed citations
4.
Chalimoniuk, Małgorzata, Stanisław J. Chrapusta, Nadežda Lukáčová, & Józef Langfort. (2015). Endurance training upregulates the nitric oxide/soluble guanylyl cyclase/cyclic guanosine 3′,5′-monophosphate pathway in the striatum, midbrain and cerebellum of male rats. Brain Research. 1618. 29–40. 16 indexed citations
5.
Šulla, I, et al.. (2014). Assessment of motor recovery and MRI correlates in a porcine spinal cord injury model. Acta Veterinaria Brno. 83(4). 393–397. 5 indexed citations
6.
Pavel, Jaroslav, Joanna B. Strosznajder, Małgorzata Chalimoniuk, et al.. (2014). Baclofen or nNOS inhibitor affect molecular and behavioral alterations evoked by traumatic spinal cord injury in rat spinal cord. The Spine Journal. 15(6). 1366–1378. 4 indexed citations
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Hefferan, Michael P., Osamu Kakinohana, Nadežda Lukáčová, et al.. (2010). Suppression of stretch reflex activity after spinal or systemic treatment with AMPA receptor antagonist NGX424 in rats with developed baclofen tolerance. British Journal of Pharmacology. 161(5). 976–985. 16 indexed citations
11.
Radoňák, J, et al.. (2009). Preconditioning as a Possible Protective Mechanism in the Spinal Cord Ischemia. Acta Veterinaria Brno. 78(2). 307–311. 1 indexed citations
12.
Lukáčová, Nadežda, et al.. (2007). The Distribution of Primary Nitric Oxide Synthase- and Parvalbumin- Immunoreactive Afferents in the Dorsal Funiculus of the Lumbosacral Spinal Cord in a Dog. Cellular and Molecular Neurobiology. 27(4). 475–504. 11 indexed citations
13.
Langfort, Józef, Dariusz Pawlak, Małgorzata Chalimoniuk, et al.. (2006). The Effect of Endurance Training on Regional Serotonin Metabolism in the Brain During Early Stage of Detraining Period in the Female Rat. Cellular and Molecular Neurobiology. 26(7-8). 1325–1340. 29 indexed citations
14.
Lukáčová, Nadežda, et al.. (2006). Moderately Different NADPH-Diaphorase Positivity in the Selected Peripheral Nerves after Ischemia/ Reperfusion Injury of the Spinal Cord in Rabbit. Cellular and Molecular Neurobiology. 26(7-8). 1309–1323. 3 indexed citations
15.
Lukáčová, Nadežda, et al.. (2003). The effect of cauda equina constriction on nitric oxide synthase activity. Journal of Neurochemistry. 85(s2). 37–37. 1 indexed citations
16.
Maršala, J, et al.. (2003). Premotor nitric oxide synthase immunoreactive pathway connecting lumbar segments with the ventral motor nucleus of the cervical enlargement in the dog. Journal of Chemical Neuroanatomy. 27(1). 43–54. 17 indexed citations
17.
Lukáčová, Nadežda, Dáša Čı́žková, Oľga Križanová, et al.. (2002). Peripheral axotomy affects nicotinamide adenine dinucleotide phosphate diaphorase and nitric oxide synthases in the spinal cord of the rabbit. Journal of Neuroscience Research. 71(2). 300–313. 16 indexed citations
18.
Pavel, Jaroslav, Nadežda Lukáčová, & J Maršala. (2000). Regional Changes of Cyclic 3′,5′-Guanosine Monophosphate in the Spinal Cord of the Rabbit following Brief Repeated Ischemic Insults. Neurochemical Research. 25(8). 1131–1137. 6 indexed citations
19.
Lukáčová, Nadežda, et al.. (1997). Neuroprotective Effect of Graded Postischemic Reoxygenation in Spinal Cord Ischemia in the Rabbit. Brain Research Bulletin. 43(5). 457–465. 10 indexed citations
20.
Chavko, Mikuláš, et al.. (1989). Effect of partial ischemia on phospholipids and postischemic lipid peroxidation in rabbit spinal cord. Neurochemical Research. 14(11). 1089–1097. 17 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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