Anna B. Volnova

529 total citations
48 papers, 354 citations indexed

About

Anna B. Volnova is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Anna B. Volnova has authored 48 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Anna B. Volnova's work include Neuroscience and Neuropharmacology Research (19 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Receptor Mechanisms and Signaling (9 papers). Anna B. Volnova is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Receptor Mechanisms and Signaling (9 papers). Anna B. Volnova collaborates with scholars based in Russia, United States and Puerto Rico. Anna B. Volnova's co-authors include Raul R. Gainetdinov, Vassiliy Tsytsarev, Mikhail Inyushin, Aleksandrov Aa, Alla Ignashchenkova, S. K. Gordeev, Janaina Alves, Evgeny A. Budygin, Alexander V. Lopachev and Stefano Espinoza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Anna B. Volnova

41 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna B. Volnova Russia 11 162 142 95 55 32 48 354
Aqsa Malik Pakistan 6 176 1.1× 160 1.1× 44 0.5× 41 0.7× 14 0.4× 20 503
Hidekazu Sotoyama Japan 15 259 1.6× 237 1.7× 58 0.6× 39 0.7× 30 0.9× 32 552
Véronique Bragulat United States 10 232 1.4× 151 1.1× 177 1.9× 75 1.4× 90 2.8× 18 709
Daniel Reyes‐Haro Mexico 14 233 1.4× 124 0.9× 68 0.7× 26 0.5× 20 0.6× 28 443
Nellie Byun United States 14 410 2.5× 444 3.1× 121 1.3× 39 0.7× 77 2.4× 16 772
Sujin Chae South Korea 11 167 1.0× 257 1.8× 62 0.7× 15 0.3× 9 0.3× 19 506
Luis E. Gonzalez‐Reyes United States 11 339 2.1× 130 0.9× 230 2.4× 38 0.7× 6 0.2× 12 551
Marc Brugarolas Spain 9 390 2.4× 425 3.0× 43 0.5× 24 0.4× 30 0.9× 9 686
Kenneth C. Reinert United States 8 270 1.7× 131 0.9× 118 1.2× 12 0.2× 39 1.2× 8 416
Seong-Wook Kim South Korea 10 156 1.0× 159 1.1× 109 1.1× 39 0.7× 15 0.5× 21 412

Countries citing papers authored by Anna B. Volnova

Since Specialization
Citations

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

Fields of papers citing papers by Anna B. Volnova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna B. Volnova. 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 Anna B. Volnova. The network helps show where Anna B. Volnova may publish in the future.

Co-authorship network of co-authors of Anna B. Volnova

This figure shows the co-authorship network connecting the top 25 collaborators of Anna B. Volnova. A scholar is included among the top collaborators of Anna B. Volnova 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 Anna B. Volnova. Anna B. Volnova 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.
Efimova, Evgeniya V., et al.. (2025). TAAR8 in the Brain: Implications for Dopaminergic Function, Neurogenesis, and Behavior. Biomedicines. 13(6). 1391–1391.
2.
Tsytsarev, Vassiliy, et al.. (2025). Vectorial principles of sensorimotor decoding. Frontiers in Human Neuroscience. 19. 1612626–1612626.
3.
Sukhanov, Ilya, et al.. (2024). Rats Lacking the Dopamine Transporter Display Inflexibility in Innate and Learned Behavior. Biomedicines. 12(6). 1270–1270. 4 indexed citations
4.
Федорова, Т. Н., et al.. (2024). Evaluation of Ouabain’s Tissue Distribution in C57/Black Mice Following Intraperitoneal Injection, Using Chromatography and Mass Spectrometry. International Journal of Molecular Sciences. 25(8). 4318–4318. 1 indexed citations
5.
Volnova, Anna B., et al.. (2024). Long-term Intracerebroventricular Administration of Ouabain Causes Motor Impairments in C57Bl/6 Mice. SHILAP Revista de lepidopterología. 17(4). 40–51.
6.
Carvalho, R.S. Marques de, et al.. (2024). Electrophysiological and Behavioral Markers of Hyperdopaminergia in DAT-KO Rats. Biomedicines. 12(9). 2114–2114. 3 indexed citations
7.
Tsytsarev, Vassiliy, et al.. (2023). Neurophotonic methods in approach to in vivo animal epileptic models: Advantages and limitations. Epilepsia. 65(3). 600–614. 3 indexed citations
8.
Volnova, Anna B., et al.. (2023). Noradrenergic Modulation of Learned and Innate Behaviors in Dopamine Transporter Knockout Rats by Guanfacine. Biomedicines. 11(1). 222–222. 5 indexed citations
9.
Volnova, Anna B., et al.. (2023). A Custom Solution for Acoustic Startle Response Setup with Spike2-Based Data Acquisition Interface. Methods and Protocols. 6(3). 57–57.
10.
Volnova, Anna B., et al.. (2023). Na+,K+-ATPase and Cardiotonic Steroids in Models of Dopaminergic System Pathologies. Biomedicines. 11(7). 1820–1820. 5 indexed citations
11.
Gainetdinov, Raul R., et al.. (2022). Effects of Atomoxetine on Motor and Cognitive Behaviors and Brain Electrophysiological Activity of Dopamine Transporter Knockout Rats. Biomolecules. 12(10). 1484–1484. 7 indexed citations
12.
Volnova, Anna B., et al.. (2022). The Anti-Epileptic Effects of Carbenoxolone In Vitro and In Vivo. International Journal of Molecular Sciences. 23(2). 663–663. 23 indexed citations
13.
Volnova, Anna B., et al.. (2022). Evaluation of Approach to a Conspecific and Blood Biochemical Parameters in TAAR1 Knockout Mice. Brain Sciences. 12(5). 614–614. 6 indexed citations
14.
Volnova, Anna B., et al.. (2020). In Vitro and In Vivo Study of the Short-Term Vasomotor Response during Epileptic Seizures. Brain Sciences. 10(12). 942–942. 7 indexed citations
15.
Aa, Aleksandrov, et al.. (2019). Effect of alpha-NETA on auditory event related potentials in sensory gating study paradigm in mice. Neuroscience Letters. 712. 134470–134470. 8 indexed citations
16.
Aa, Aleksandrov, et al.. (2018). Identification of TAAR5 Agonist Activity of Alpha-NETA and Its Effect on Mismatch Negativity Amplitude in Awake Rats. Neurotoxicity Research. 34(3). 442–451. 20 indexed citations
17.
Volnova, Anna B., et al.. (2012). Advantages and limitations of brain imaging methods in the research of absence epilepsy in humans and animal models. Journal of Neuroscience Methods. 212(2). 195–202. 52 indexed citations
18.
Сибаров, Д. А., et al.. (2008). Blockers of monoamine transporters influence high dopamine concentration uptake in rat brain slices. Doklady Biological Sciences. 419(1). 80–82. 5 indexed citations
19.
Volnova, Anna B., et al.. (2003). Development of Lateralization of Unconditional Motor Reactions in Early Ontogenesis of White Rats. Journal of Evolutionary Biochemistry and Physiology. 39(5). 570–577. 1 indexed citations
20.
Volnova, Anna B., et al.. (2002). Functional Analogs of the Motor and Premotor Areas of Neocortex in Developing White Rats. Journal of Evolutionary Biochemistry and Physiology. 38(4). 448–454. 2 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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