М. В. Тендитник

526 total citations
30 papers, 386 citations indexed

About

М. В. Тендитник is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, М. В. Тендитник has authored 30 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in М. В. Тендитник's work include Stress Responses and Cortisol (6 papers), Alzheimer's disease research and treatments (6 papers) and Autophagy in Disease and Therapy (6 papers). М. В. Тендитник is often cited by papers focused on Stress Responses and Cortisol (6 papers), Alzheimer's disease research and treatments (6 papers) and Autophagy in Disease and Therapy (6 papers). М. В. Тендитник collaborates with scholars based in Russia, Taiwan and Netherlands. М. В. Тендитник's co-authors include М. А. Тихонова, Anna A. Akopyan, Н. И. Дубровина, N. N. Kudryavtseva, Д. Ф. Августинович, А. Б. Пупышев, Jan M. van Ree, M.A.F.M. Gerrits, Т. А. Короленко and Tamara G. Amstislavskaya and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Nutrients.

In The Last Decade

М. В. Тендитник

28 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
М. В. Тендитник Russia 11 124 92 90 79 78 30 386
Maedeh Ghasemi Iran 10 108 0.9× 111 1.2× 51 0.6× 51 0.6× 20 0.3× 47 419
Kaustuv Saha United States 11 207 1.7× 153 1.7× 115 1.3× 90 1.1× 21 0.3× 13 559
Roberta Facchinetti Italy 13 117 0.9× 103 1.1× 158 1.8× 32 0.4× 21 0.3× 15 481
Sunil Jamuna Tripathi India 13 127 1.0× 102 1.1× 47 0.5× 112 1.4× 17 0.2× 18 385
Roberta Bristot Silvestrin Brazil 9 67 0.5× 115 1.3× 42 0.5× 71 0.9× 17 0.2× 14 380
Nikos Tzavaras United States 7 154 1.2× 141 1.5× 78 0.9× 64 0.8× 14 0.2× 13 376
Maurício Schüler Nin Brazil 12 140 1.1× 50 0.5× 99 1.1× 150 1.9× 15 0.2× 23 419
Robyn St. Laurent United States 9 248 2.0× 172 1.9× 97 1.1× 48 0.6× 11 0.1× 12 501
Ana Paula Toniazzo Brazil 10 65 0.5× 71 0.8× 112 1.2× 98 1.2× 36 0.5× 15 405

Countries citing papers authored by М. В. Тендитник

Since Specialization
Citations

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

Fields of papers citing papers by М. В. Тендитник

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. В. Тендитник. 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 М. В. Тендитник. The network helps show where М. В. Тендитник may publish in the future.

Co-authorship network of co-authors of М. В. Тендитник

This figure shows the co-authorship network connecting the top 25 collaborators of М. В. Тендитник. A scholar is included among the top collaborators of М. В. Тендитник 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 М. В. Тендитник. М. В. Тендитник 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.
Тендитник, М. В., Н. И. Дубровина, Anna A. Akopyan, et al.. (2023). Comparative analysis of early neurodegeneration signs in a mouse model of Alzheimer’s disease-like pathology induced by two types of the central (Intracerebroventricular vs. Intrahippocampal) administration of Aβ25–35 oligomers. Behavioural Brain Research. 454. 114651–114651. 3 indexed citations
2.
Пупышев, А. Б., М. В. Тендитник, Н. И. Дубровина, et al.. (2022). Combined induction of mTOR-dependent and mTOR-independent pathways of autophagy activation as an experimental therapy for Alzheimer's disease-like pathology in a mouse model. Pharmacology Biochemistry and Behavior. 217. 173406–173406. 20 indexed citations
5.
Короленко, Т. А., А. Б. Пупышев, Anna A. Akopyan, et al.. (2020). Early Parkinson’s Disease-Like Pathology in a Transgenic Mouse Model Involves a Decreased Cst3 mRNA Expression But Not Neuroinflammatory Response in the Brain. 3(2). 66–78. 5 indexed citations
6.
Тихонова, М. А., М. В. Тендитник, Anna A. Akopyan, et al.. (2020). Effects of Grape Polyphenols on the Life Span and Neuroinflammatory Alterations Related to Neurodegenerative Parkinson Disease-Like Disturbances in Mice. Molecules. 25(22). 5339–5339. 22 indexed citations
7.
Хлесткина, Е. К., O. Y. Shoeva, Е. И. Гордеева, et al.. (2019). Anthocyanins in wheat grain: genetic control, health benefit and bread-making quality. 15–18. 6 indexed citations
8.
Пупышев, А. Б., М. А. Тихонова, Anna A. Akopyan, et al.. (2018). Therapeutic activation of autophagy by combined treatment with rapamycin and trehalose in a mouse MPTP-induced model of Parkinson's disease. Pharmacology Biochemistry and Behavior. 177. 1–11. 78 indexed citations
11.
Лыков, А. П., et al.. (2015). Parameters of Microcirculation in the Broad Ligament of the Uterus in Wistar Rats after Injection of Autologous Biomedical Cell Product. Bulletin of Experimental Biology and Medicine. 159(6). 786–788. 1 indexed citations
12.
Litvinenko, G. I., et al.. (2015). Effects of Melatonin on Morphological and Functional Parameters of the Pineal Gland and Organs of Immune System in Rats During Natural Light Cycle and Constant Illumination. Bulletin of Experimental Biology and Medicine. 159(6). 732–735. 9 indexed citations
13.
Мельникова, Е. В., et al.. (2014). Effect of Melatonin on Cellular Composition of the Spleen and Parameters of Lipid Metabolism in Rats with Alimentary Obesity. Bulletin of Experimental Biology and Medicine. 158(1). 42–45. 7 indexed citations
14.
Тендитник, М. В., et al.. (2013). Effects of Experimental Desynchronosis on the Organs of Immune System in WAG and ISIAH Rats. Bulletin of Experimental Biology and Medicine. 155(5). 659–662. 3 indexed citations
15.
Kudryavtseva, N. N., Д. Ф. Августинович, Natalia P. Bondar, М. В. Тендитник, & И. Л. Коваленко. (2008). An Experimental Approach for the Study of Psychotropic Drug Effects Under Simulated Clinical Conditions. Current Drug Metabolism. 9(4). 352–360. 22 indexed citations
16.
Kudryavtseva, N. N., M.A.F.M. Gerrits, Д. Ф. Августинович, М. В. Тендитник, & Jan M. van Ree. (2006). Anxiety and ethanol consumption in victorious and defeated mice; effect of κ-opioid receptor activation. European Neuropsychopharmacology. 16(7). 504–511. 37 indexed citations
17.
Каледин, В. И., et al.. (2006). Effect of psychoemotional state on growth and metastasis of Lewis tumor in mice. Doklady Biological Sciences. 406(1-6). 57–59. 6 indexed citations
18.
Тендитник, М. В., et al.. (2005). Effect of Benzo[a]pyrene on the Immune Status of Mice with Anxious-Depressive Syndrome. Bulletin of Experimental Biology and Medicine. 140(1). 70–73. 1 indexed citations
19.
Kudryavtseva, N. N., M.A.F.M. Gerrits, Д. Ф. Августинович, М. В. Тендитник, & Jan M. van Ree. (2004). Modulation of anxiety-related behaviors by μ- and κ-opioid receptor agonists depends on the social status of mice. Peptides. 25(8). 1355–1363. 50 indexed citations
20.
Kudryavtseva, N. N., et al.. (2002). Behavioral effects of novel enterosorbent Noolit on mice with mixed depression/anxiety-like state. Pharmacology Biochemistry and Behavior. 72(1-2). 131–141. 5 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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