Nana Voitenko

1.7k total citations
76 papers, 1.4k citations indexed

About

Nana Voitenko is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nana Voitenko has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Physiology, 45 papers in Molecular Biology and 43 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nana Voitenko's work include Pain Mechanisms and Treatments (41 papers), Ion channel regulation and function (38 papers) and Neuroscience and Neuropharmacology Research (37 papers). Nana Voitenko is often cited by papers focused on Pain Mechanisms and Treatments (41 papers), Ion channel regulation and function (38 papers) and Neuroscience and Neuropharmacology Research (37 papers). Nana Voitenko collaborates with scholars based in Ukraine, United Kingdom and United States. Nana Voitenko's co-authors include Olga Kopach, P. G. Kostyuk, Pavel Belan, Ilya Kruglikov, E. P. Kostyuk, Alexei Verkhratsky, Viacheslav Viatchenko‐Karpinski, Sergei Kirischuk, Helmut Kettenmann and Thomas Møller and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

Nana Voitenko

70 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nana Voitenko Ukraine 23 730 712 667 149 130 76 1.4k
A. K. Dixon United Kingdom 21 695 1.0× 470 0.7× 832 1.2× 153 1.0× 53 0.4× 30 1.5k
Jon P. Hatcher United Kingdom 11 442 0.6× 536 0.8× 439 0.7× 211 1.4× 197 1.5× 11 1.2k
Daniel C. Broom United States 15 676 0.9× 804 1.1× 458 0.7× 68 0.5× 56 0.4× 18 1.4k
Kunjumon I. Vadakkan Canada 14 699 1.0× 723 1.0× 425 0.6× 67 0.4× 200 1.5× 32 1.3k
Jing‐Xia Hao Sweden 29 943 1.3× 1.3k 1.9× 579 0.9× 72 0.5× 95 0.7× 57 1.9k
M. Markerink–van Ittersum Netherlands 25 516 0.7× 549 0.8× 876 1.3× 74 0.5× 165 1.3× 43 1.8k
Xu‐Hong Wei China 24 657 0.9× 1.2k 1.6× 342 0.5× 91 0.6× 252 1.9× 42 1.7k
Yoki Nakamura Japan 21 443 0.6× 493 0.7× 554 0.8× 55 0.4× 202 1.6× 63 1.3k
Shiyong Peng United States 14 730 1.0× 731 1.0× 552 0.8× 79 0.5× 260 2.0× 26 1.7k
Zhi-Ye Zhuang United States 9 854 1.2× 1.3k 1.8× 359 0.5× 68 0.5× 250 1.9× 10 1.7k

Countries citing papers authored by Nana Voitenko

Since Specialization
Citations

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

Fields of papers citing papers by Nana Voitenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nana Voitenko

This figure shows the co-authorship network connecting the top 25 collaborators of Nana Voitenko. A scholar is included among the top collaborators of Nana Voitenko 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 Nana Voitenko. Nana Voitenko 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.
Shutov, Leonid P., Jon M. Resch, Alexander G. Bassuk, et al.. (2025). Activation of TRPA1 and TRPM3 triggers Ca 2+ waves in central terminals of sensory neurons and facilitates synaptic activity in the spinal dorsal horn. The Journal of Physiology. 603(20). 6365–6389.
2.
Kononenko, N. I., et al.. (2023). Diabetes-Induced Amplification of Nociceptive DRG Neuron Output by Upregulation of Somatic T-Type Ca2+ Channels. Biomolecules. 13(9). 1320–1320. 1 indexed citations
3.
Kopach, Olga, et al.. (2023). Mitochondrial malfunction mediates impaired cholinergic Ca2+ signalling and submandibular salivary gland dysfunction in diabetes. Neuropharmacology. 243. 109789–109789. 3 indexed citations
4.
Kopach, Olga & Nana Voitenko. (2021). Spinal AMPA receptors: Amenable players in central sensitization for chronic pain therapy?. Channels. 15(1). 284–297. 19 indexed citations
5.
6.
Kopach, Olga, et al.. (2017). Optimized Model of Cerebral Ischemia In situ for the Long-Lasting Assessment of Hippocampal Cell Death. Frontiers in Neuroscience. 11. 388–388. 10 indexed citations
7.
Kopach, Olga, et al.. (2017). Functional Characterization of Lamina X Neurons in ex-Vivo Spinal Cord Preparation. Frontiers in Cellular Neuroscience. 11. 342–342. 14 indexed citations
8.
9.
10.
Kopach, Olga, Viacheslav Viatchenko‐Karpinski, Fidelis E. Atianjoh, et al.. (2013). PKCα Is Required for Inflammation-Induced Trafficking of Extrasynaptic AMPA Receptors in Tonically Firing Lamina II Dorsal Horn Neurons During the Maintenance of Persistent Inflammatory Pain. Journal of Pain. 14(2). 182–192. 27 indexed citations
11.
Khomula, Eugen V., et al.. (2013). Specific functioning of Cav3.2 T-type calcium and TRPV1 channels under different types of STZ-diabetic neuropathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(5). 636–649. 56 indexed citations
12.
Voitenko, Nana, Ronald S. Petralia, Xiaowei Guan, et al.. (2009). Persistent Inflammation Induces GluR2 Internalization via NMDA Receptor-Triggered PKC Activation in Dorsal Horn Neurons. Journal of Neuroscience. 29(10). 3206–3219. 142 indexed citations
13.
Grishin, Eugene V., Alexander A. Vassilevski, Yuliya V. Korolkova, et al.. (2009). Novel peptide from spider venom inhibits P2X3 receptors and inflammatory pain. Annals of Neurology. 67(5). 680–683. 51 indexed citations
14.
Youn, Dong‐ho, et al.. (2005). Altered long-term synaptic plasticity and kainate-induced Ca2+ transients in the substantia gelatinosa neurons in GLUK6-deficient mice. Molecular Brain Research. 142(1). 9–18. 11 indexed citations
15.
Kruglikov, Ilya, et al.. (2005). Changes in functioning of rat submandibular salivary gland under streptozotocin-induced diabetes are associated with alterations of Ca2+ signaling and Ca2+ transporting pumps. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1762(3). 294–303. 34 indexed citations
16.
Kruglikov, Ilya, Leonid P. Shutov, Evgeniy Potapenko, P. G. Kostyuk, & Nana Voitenko. (2002). Metabotropic Purinoreceptors in Rat Dorsal Horn Neurons: Predominantly Dendritic Location. Neurophysiology. 34(2-3). 165–167. 2 indexed citations
17.
Kostyuk, E. P., Nana Voitenko, Ilya Kruglikov, et al.. (2001). Diabetes-induced changes in calcium homeostasis and the effects of calcium channel blockers in rat and mice nociceptive neurons. Diabetologia. 44(10). 1302–1309. 53 indexed citations
18.
Kostyuk, E. P., Nana Voitenko, Ilya Kruglikov, P. G. Kostyuk, & Andrey Efimov. (2000). Changes in calcium signalling in spinal dorsal horn neurons in rats with streptozotocin-induced diabetes. Diabetes Research and Clinical Practice. 50. 362–363. 1 indexed citations
19.
Voitenko, Nana, E. P. Kostyuk, Ilya Kruglikov, & P. G. Kostyuk. (1999). Changes in calcium signalling in dorsal horn neurons in rats with streptozotocin-induced diabetes. Neuroscience. 94(3). 887–890. 40 indexed citations
20.
Kirischuk, Sergej, Nana Voitenko, P. G. Kostyuk, & Alexei Verkhratsky. (1996). Calcium signalling in granule neurones studied in cerebellar slices. Cell Calcium. 19(1). 59–71. 33 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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