N. V. Gulyaeva

4.1k total citations
267 papers, 3.1k citations indexed

About

N. V. Gulyaeva is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Physiology. According to data from OpenAlex, N. V. Gulyaeva has authored 267 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cellular and Molecular Neuroscience, 69 papers in Behavioral Neuroscience and 64 papers in Physiology. Recurrent topics in N. V. Gulyaeva's work include Neuroscience and Neuropharmacology Research (70 papers), Stress Responses and Cortisol (69 papers) and Tryptophan and brain disorders (42 papers). N. V. Gulyaeva is often cited by papers focused on Neuroscience and Neuropharmacology Research (70 papers), Stress Responses and Cortisol (69 papers) and Tryptophan and brain disorders (42 papers). N. V. Gulyaeva collaborates with scholars based in Russia, United States and Belarus. N. V. Gulyaeva's co-authors include M. Yu. Stepanichev, М. В. Онуфриев, Н. А. Лазарева, А. А. Yakovlev, Alla Guekht, I. V. Kudryashova, Т. А. Дружкова, Г. Т. Шишкина, Н. Н. Дыгало and А. А. Шпак and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

N. V. Gulyaeva

253 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. V. Gulyaeva Russia	28	867	758	755	664	598	267	3.1k
Agnieszka Basta‐Kaim Poland	37	690 0.8×	981 1.3×	617 0.8×	1.3k 2.0×	701 1.2×	168	4.2k
Betina Elfving Denmark	35	1.1k 1.3×	790 1.0×	521 0.7×	732 1.1×	256 0.4×	112	3.3k
Akira Monji Japan	30	494 0.6×	704 0.9×	587 0.8×	694 1.0×	1.1k 1.9×	126	3.6k
Olivia F. O’Leary Ireland	31	1.4k 1.6×	1.1k 1.5×	537 0.7×	845 1.3×	475 0.8×	64	3.9k
Caroline Ménard Canada	28	804 0.9×	892 1.2×	604 0.8×	1.3k 1.9×	763 1.3×	69	3.9k
Fabio Tascedda Italy	34	803 0.9×	661 0.9×	432 0.6×	581 0.9×	335 0.6×	111	2.5k
Heather A. Bimonte‐Nelson United States	38	630 0.7×	735 1.0×	747 1.0×	1.1k 1.6×	455 0.8×	91	4.1k
Roberto Carlos Agís‐Balboa Spain	27	784 0.9×	1.9k 2.4×	565 0.7×	536 0.8×	323 0.5×	44	3.5k
Laurent Givalois France	29	840 1.0×	544 0.7×	775 1.0×	1.1k 1.7×	346 0.6×	74	2.9k
Yvette Akwa France	32	1.4k 1.6×	1.1k 1.5×	455 0.6×	1.2k 1.8×	442 0.7×	58	4.3k

Countries citing papers authored by N. V. Gulyaeva

Since Specialization

Citations

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

Fields of papers citing papers by N. V. Gulyaeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. V. Gulyaeva. 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 N. V. Gulyaeva. The network helps show where N. V. Gulyaeva may publish in the future.

Co-authorship network of co-authors of N. V. Gulyaeva

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

All Works

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20 of 20 papers shown

Gulyaeva, N. V., et al.. (2025). Traumatic Brain Injury Promotes Neurogenesis and Oligodendrogenesis in Subcortical Brain Regions of Mice. Cells. 14(2). 92–92. 1 indexed citations

Лазарева, Н. А., et al.. (2024). The impact of long-term isolation on anxiety, depressive-like and social behavior in aging Wistar-Kyoto (WKY) and spontaneously hypertensive (SHR) male rats. Scientific Reports. 14(1). 28135–28135. 1 indexed citations

Gulyaeva, N. V., et al.. (2024). An Intricated pas de deux of Addicted Brain and Body Is Orchestrated by Stress and Neuroplasticity. Biochemistry (Moscow). 89(11). 1863–1867.

Hauser, W. Allen, et al.. (2023). Post-stroke epilepsy: From clinical predictors to possible mechanisms. Epilepsy Research. 199. 107282–107282. 6 indexed citations

Шпак, А. А., et al.. (2023). Reduced Levels of Lacrimal Glial Cell Line-Derived Neurotrophic Factor (GDNF) in Patients with Focal Epilepsy and Focal Epilepsy with Comorbid Depression: A Biomarker Candidate. International Journal of Molecular Sciences. 24(23). 16818–16818. 3 indexed citations

Gulyaeva, N. V., et al.. (2023). Role of BDNF in neuroplasticity associated with alcohol dependence. 88(3). 491–507. 1 indexed citations

Шпак, А. А., et al.. (2023). Shedding Valuable Tears: Tear Fluid as a Promising Source of Disease Biomarkers. Neurochemical Journal. 17(4). 702–714. 5 indexed citations

Guekht, Alla, et al.. (2023). Disorders of Olfaction – An Interdisciplinary Problem. Neuroscience and Behavioral Physiology. 53(6). 966–972. 1 indexed citations

Guekht, Alla, et al.. (2022). Glial cell line-derived neurotrophic factor (GDNF) in blood serum and lacrimal fluid of patients with a current depressive episode. Journal of Affective Disorders. 318. 409–413. 10 indexed citations

10.

Онуфриев, М. В., et al.. (2021). Neuroinflammatory Cytokine Response, Neuronal Death, and Microglial Proliferation in the Hippocampus of Rats During the Early Period After Lateral Fluid Percussion-Induced Traumatic Injury of the Neocortex. Molecular Neurobiology. 59(2). 1151–1167. 11 indexed citations

11.

Шишкина, Г. Т., et al.. (2021). Changes in Gene Expression and Neuroinflammation in the Hippocampus after Focal Brain Ischemia: Involvement in the Long-Term Cognitive and Mental Disorders. Biochemistry (Moscow). 86(6). 657–666. 14 indexed citations

12.

Дружкова, Т. А., et al.. (2018). Acute stress response to a cognitive task in patients with major depressive disorder: potential metabolic and proinflammatory biomarkers. Metabolic Brain Disease. 34(2). 621–629. 25 indexed citations

13.

Gulyaeva, N. V.. (2018). Functional Neurochemistry of the Ventral and Dorsal Hippocampus: Stress, Depression, Dementia and Remote Hippocampal Damage. Neurochemical Research. 44(6). 1306–1322. 110 indexed citations

14.

Stepanichev, M. Yu., М. В. Онуфриев, Stefan Winter, et al.. (2017). Effects of cerebrolysin on nerve growth factor system in the aging rat brain. Restorative Neurology and Neuroscience. 35(6). 571–581. 18 indexed citations

15.

Yakovlev, А. А., et al.. (2017). Caspase activity in lymphocytes of patients with depression and anxiety of different severity. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 11(1). 76–80.

16.

Guekht, Alla, et al.. (2016). Single Seizure and Cognition: Clinical and Translational Implications. 1(2).

17.

Лазарева, Н. А., et al.. (2016). Effects of early neonatal proinflammatory stress on the expression of BDNF transcripts in the brain regions of prepubertal male rats. SHILAP Revista de lepidopterología. 20(2). 191–197. 2 indexed citations

18.

Лазарева, Н. А., et al.. (2009). Chronic stress induces nonapoptotic neuronal death in the rat hippocampus. Doklady Biological Sciences. 428(1). 403–406. 9 indexed citations

19.

Kudryashova, I. V., et al.. (2008). Caspase-3 activity in hippocampal slices reflects changes in synaptic plasticity. Neuroscience and Behavioral Physiology. 39(1). 13–20. 18 indexed citations

20.

Stepanichev, M. Yu., et al.. (2003). Single intracerebroventricular administration of amyloid-beta (25–35) peptide induces impairment in short-term rather than long-term memory in rats. Brain Research Bulletin. 61(2). 197–205. 99 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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