И. А. Гривенников

855 total citations
82 papers, 648 citations indexed

About

И. А. Гривенников is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, И. А. Гривенников has authored 82 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 39 papers in Cellular and Molecular Neuroscience and 20 papers in Physiology. Recurrent topics in И. А. Гривенников's work include Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). И. А. Гривенников is often cited by papers focused on Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). И. А. Гривенников collaborates with scholars based in Russia, Germany and Tajikistan. И. А. Гривенников's co-authors include О. В. Долотов, N. F. Myasoedov, Л. А. Андреева, С. Н. Иллариошкин, N. G. Levitskaya, V. Z. Tarantul, Ekaterina Manuilova, A.A. Kamensky, Л. Г. Хаспеков and Yu. A. Zolotarev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

И. А. Гривенников

73 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
И. А. Гривенников Russia 15 274 232 163 81 63 82 648
Milka Perović Serbia 16 233 0.9× 176 0.8× 190 1.2× 83 1.0× 31 0.5× 37 687
Hailong Hou United States 13 242 0.9× 249 1.1× 191 1.2× 71 0.9× 55 0.9× 22 649
Andrea Abdipranoto Australia 7 211 0.8× 286 1.2× 211 1.3× 70 0.9× 54 0.9× 7 663
Keke Ren China 14 249 0.9× 166 0.7× 92 0.6× 37 0.5× 47 0.7× 29 686
Mario Valentino Malta 18 281 1.0× 221 1.0× 70 0.4× 100 1.2× 38 0.6× 41 795
Alejandra Bernardi United States 13 305 1.1× 394 1.7× 95 0.6× 107 1.3× 33 0.5× 20 720
Rosamaria Orlando Italy 13 229 0.8× 238 1.0× 78 0.5× 41 0.5× 67 1.1× 23 556
Taesup Cho South Korea 11 315 1.1× 271 1.2× 144 0.9× 66 0.8× 21 0.3× 14 812
А. P. Bolshakov Russia 14 368 1.3× 243 1.0× 49 0.3× 63 0.8× 51 0.8× 50 641
Maria Fe Lanfranco United States 12 308 1.1× 406 1.8× 174 1.1× 37 0.5× 23 0.4× 16 761

Countries citing papers authored by И. А. Гривенников

Since Specialization
Citations

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

Fields of papers citing papers by И. А. Гривенников

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. А. Гривенников. 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 И. А. Гривенников. The network helps show where И. А. Гривенников may publish in the future.

Co-authorship network of co-authors of И. А. Гривенников

This figure shows the co-authorship network connecting the top 25 collaborators of И. А. Гривенников. A scholar is included among the top collaborators of И. А. Гривенников 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 И. А. Гривенников. И. А. Гривенников 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.
Nenasheva, Valentina V., et al.. (2024). Inflammatory Intracellular Signaling in Neurons Is Influenced by Glial Soluble Factors in iPSC-Based Cell Model of PARK2-Associated Parkinson’s Disease. International Journal of Molecular Sciences. 25(17). 9621–9621. 1 indexed citations
2.
Андреева, Л. А., et al.. (2024). The effect of ACTH/MSH N-terminal fragment analogs on the anxiety level, pain sensitivity and levels of neurotrophic factors BDNF and VEGF in primary neuronal cultures of rats. Российский физиологический журнал им  И  М  Сеченова. 110(10). 1752–1766.
3.
Markov, Dmitrii D., О. В. Долотов, & И. А. Гривенников. (2023). The Melanocortin System: A Promising Target for the Development of New Antidepressant Drugs. International Journal of Molecular Sciences. 24(7). 6664–6664. 6 indexed citations
4.
Tarantul, V. Z., et al.. (2023). Glial Cultures Differentiated from iPSCs of Patients with PARK2-Associated Parkinson’s Disease Demonstrate a Pro-Inflammatory Shift and Reduced Response to TNFα Stimulation. International Journal of Molecular Sciences. 24(3). 2000–2000. 7 indexed citations
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Долотов, О. В., et al.. (2022). Stress-Induced Depression and Alzheimer’s Disease: Focus on Astrocytes. International Journal of Molecular Sciences. 23(9). 4999–4999. 55 indexed citations
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Гривенников, И. А., et al.. (2019). Whole-Transcriptome Analysis of Dermal Fibroblasts, Derived from Three Pairs of Monozygotic Twins, Discordant for Parkinson’s Disease. Journal of Molecular Neuroscience. 70(2). 284–293. 6 indexed citations
10.
Markov, Dmitrii D., et al.. (2017). Systemic N-terminal fragments of adrenocorticotropin reduce inflammation- and stress-induced anhedonia in rats. Psychoneuroendocrinology. 82. 173–186. 6 indexed citations
11.
Lebedeva, Olga S., Elena M. Vasina, Alexandra N. Bogomazova, et al.. (2017). A platform for studies of Huntington’s disease on the basis of induced pluripotent stem cells. SHILAP Revista de lepidopterología.
12.
Nenasheva, Valentina V., et al.. (2016). The Transcriptional Changes of trim Genes Associated with Parkinson’s Disease on a Model of Human Induced Pluripotent Stem Cells. Molecular Neurobiology. 54(9). 7204–7211. 18 indexed citations
13.
Manuilova, Ekaterina, et al.. (2016). Fibroblast-like cells as an effective feeder for the cultivation and derivation of new lines of human induced pluripotent stem cells. Doklady Biochemistry and Biophysics. 470(1). 353–356. 2 indexed citations
14.
Manuilova, Ekaterina, et al.. (2013). The effect of α-melanocyte-stimulating hormone on early stages of differentiation of mouse embryonic stem cells. Doklady Biological Sciences. 453(1). 387–390. 1 indexed citations
15.
Андреева, Л. А., A.A. Kamensky, И. А. Гривенников, et al.. (2013). Heptapeptide semax attenuates the effects of chronic unpredictable stress in rats. Doklady Biological Sciences. 453(1). 353–357. 11 indexed citations
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Гривенников, И. А.. (2008). Embryonic stem cells and the problem of directed differentiation. Biochemistry (Moscow). 73(13). 1438–1452. 10 indexed citations
18.
Буравкова, Л. Б., et al.. (2006). The effects of gravity vector randomization on mouse embryonic stem cells in vitro. 13(1). 149–150. 2 indexed citations
19.
Гордеева, О. Ф., et al.. (2002). Characteristics of a Pluripotent Population at Early Stages of Embryonic Stem Cell Differentiation in Culture. Doklady Biological Sciences. 386(1-6). 478–481. 3 indexed citations
20.
Ашмарин, И. П., A.A. Kamensky, И. А. Гривенников, et al.. (1997). Nootropic analogue of adrenocorticotropin 4-10-semax (the experience of design and investigation over 15 years). Журнал высшей нервной деятельности им И П Павлова. 47(2). 420–430. 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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