Vadim V. Rogachevsky

624 total citations
20 papers, 470 citations indexed

About

Vadim V. Rogachevsky is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vadim V. Rogachevsky has authored 20 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vadim V. Rogachevsky's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Protein Structure and Dynamics (3 papers). Vadim V. Rogachevsky is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Protein Structure and Dynamics (3 papers). Vadim V. Rogachevsky collaborates with scholars based in Russia, United Kingdom and United States. Vadim V. Rogachevsky's co-authors include P.L.A. Gabbott, Michael G. Stewart, V.I. Popov, Heather A. Davies, Igor Kraev, Carmen Sandi, José Rodrı́guez-Álvarez, Christopher J. Peddie, María I. Cordero and M.L. Er̀rington and has published in prestigious journals such as Langmuir, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Vadim V. Rogachevsky

17 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vadim V. Rogachevsky Russia 9 194 123 102 90 80 20 470
Jinxiang Jiang China 11 181 0.9× 100 0.8× 94 0.9× 110 1.2× 44 0.6× 20 390
Jay‐Shake Li Taiwan 15 214 1.1× 144 1.2× 102 1.0× 218 2.4× 49 0.6× 20 598
Emanuele Murana Italy 9 184 0.9× 122 1.0× 133 1.3× 103 1.1× 39 0.5× 9 566
Gustavo Morrone Parfitt Brazil 17 318 1.6× 226 1.8× 79 0.8× 198 2.2× 104 1.3× 25 678
Emanuele Brai Switzerland 12 98 0.5× 189 1.5× 121 1.2× 52 0.6× 18 0.2× 18 527
Ana V. Oliveira-Pinto Brazil 7 107 0.6× 90 0.7× 118 1.2× 82 0.9× 15 0.2× 8 450
Isabella Garcia United States 10 240 1.2× 75 0.6× 31 0.3× 131 1.5× 41 0.5× 15 438
Peter Koppensteiner Austria 13 245 1.3× 206 1.7× 68 0.7× 102 1.1× 49 0.6× 22 443
Fredrick E. Henry United States 11 190 1.0× 230 1.9× 154 1.5× 99 1.1× 32 0.4× 13 635
Jochen De Vry Netherlands 11 181 0.9× 276 2.2× 76 0.7× 59 0.7× 155 1.9× 19 639

Countries citing papers authored by Vadim V. Rogachevsky

Since Specialization
Citations

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

Fields of papers citing papers by Vadim V. Rogachevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim V. Rogachevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim V. Rogachevsky. A scholar is included among the top collaborators of Vadim V. Rogachevsky 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 Vadim V. Rogachevsky. Vadim V. Rogachevsky 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.
Yakupova, Elmira I., et al.. (2025). Cardiac titin isoforms: Practice in interpreting results of electrophoretic analysis. Methods. 236. 17–25.
2.
Bobyleva, L. G., Nikita V. Penkov, Azat Gabdulkhakov, et al.. (2025). Formation of an Amyloid-like Structure During In Vitro Interaction of Titin and Myosin-Binding Protein C. International Journal of Molecular Sciences. 26(14). 6910–6910. 1 indexed citations
3.
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5.
Kraev, Igor, et al.. (2022). Evaluation of Oolong Tea Extract Staining of Brain Tissue with Special Reference to Smooth Endoplasmic Reticulum. BIOPHYSICS. 67(5). 752–760. 1 indexed citations
6.
Gromnicova, Radka, Igor Kraev, Vadim V. Rogachevsky, et al.. (2020). Age-related ultrastructural neurovascular changes in the female mouse cortex and hippocampus. Neurobiology of Aging. 101. 273–284. 13 indexed citations
7.
Shatalin, Yu. V., Р. С. Фадеев, Olga Krestinina, et al.. (2020). Vitamin B12b Enhances the Cytotoxicity of Diethyldithiocarbamate in a Synergistic Manner, Inducing the Paraptosis-Like Death of Human Larynx Carcinoma Cells. Biomolecules. 10(1). 69–69. 11 indexed citations
8.
Rogachevsky, Vadim V., et al.. (2020). Predominant synthesis of giant myofibrillar proteins in striated muscles of the long-tailed ground squirrel Urocitellus undulatus during interbout arousal. Scientific Reports. 10(1). 15185–15185. 5 indexed citations
9.
Romanov, Roman A., Robert S. Lasher, Olga A. Rogachevskaja, et al.. (2018). Chemical synapses without synaptic vesicles: Purinergic neurotransmission through a CALHM1 channel-mitochondrial signaling complex. Science Signaling. 11(529). 64 indexed citations
10.
Galzitskaya, Oxana V., Alexey K. Surin, Anna V. Glyakina, Vadim V. Rogachevsky, & Olga M. Selivanova. (2018). Should the Treatment of Amyloidosis Be Personified? Molecular Mechanism of Amyloid Formation by Aβ Peptide and Its Fragments. Journal of Alzheimer s Disease Reports. 2(1). 181–199. 11 indexed citations
11.
Selivanova, Olga M., Alexey K. Surin, Yury L. Ryzhykau, et al.. (2018). To Be Fibrils or To Be Nanofilms? Oligomers Are Building Blocks for Fibril and Nanofilm Formation of Fragments of Aβ Peptide. Langmuir. 34(6). 2332–2343. 32 indexed citations
12.
Selivanova, Olga M., et al.. (2018). Molecular mechanism of amyloid formation by Ab peptide: review of own works. Biomeditsinskaya Khimiya. 64(1). 94–109. 2 indexed citations
13.
Rogachevsky, Vadim V., et al.. (2016). An acid precipitation technique: A strip assay for the large-scale DNA polymerase activity screening. Analytical Biochemistry. 513. 39–42. 2 indexed citations
14.
Vikhlyantsev, I. M., et al.. (2015). Isoform Composition and Gene Expression of Thick and Thin Filament Proteins in Striated Muscles of Mice after 30-Day Space Flight. BioMed Research International. 2015. 1–13. 42 indexed citations
15.
Rogachevsky, Vadim V., et al.. (2012). Collagen fibril formation in vitro at nearly physiological temperatures. BIOPHYSICS. 57(6). 757–763. 3 indexed citations
16.
Rogachevsky, Vadim V., et al.. (2012). Impairment of protein synthesis is an early effect of amyloid-β in neurons. Neurochemical Journal. 6(2). 121–131. 4 indexed citations
17.
Bocharova, L.S., et al.. (2011). Cyclic structural changes of endoplasmic reticulum and Golgi complex in hippocampal neurons of ground squirrels during hibernation. Cell and Tissue Biology. 5(3). 243–254. 3 indexed citations
18.
Dmitriev, V. V., et al.. (2010). Microorganisms form exocellular structures, trophosomes, to facilitate biodegradation of oil in aqueous media. FEMS Microbiology Letters. 315(2). 134–140. 10 indexed citations
19.
20.
Stewart, Michael G., Heather A. Davies, Carmen Sandi, et al.. (2004). Stress suppresses and learning induces plasticity in CA3 of rat hippocampus: A three-dimensional ultrastructural study of thorny excrescences and their postsynaptic densities. Neuroscience. 131(1). 43–54. 165 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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