С. С. Джимак

856 total citations
77 papers, 600 citations indexed

About

С. С. Джимак is a scholar working on Pharmaceutical Science, Molecular Biology and Surgery. According to data from OpenAlex, С. С. Джимак has authored 77 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pharmaceutical Science, 22 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in С. С. Джимак's work include Chemical Reactions and Isotopes (34 papers), DNA and Nucleic Acid Chemistry (10 papers) and RNA and protein synthesis mechanisms (9 papers). С. С. Джимак is often cited by papers focused on Chemical Reactions and Isotopes (34 papers), DNA and Nucleic Acid Chemistry (10 papers) and RNA and protein synthesis mechanisms (9 papers). С. С. Джимак collaborates with scholars based in Russia, Cuba and United States. С. С. Джимак's co-authors include А. А. Басов, Liliya Fedulova, М. Г. Барышев, Mikhail Baryshev, Elena Kotenkova, George N. Naumov, Yury D. Nechipurenko, Luis Velázquez‐Pérez, Iliya Petriev and V. G. Skrebitsky and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

С. С. Джимак

72 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
С. С. Джимак Russia 17 279 211 83 74 74 77 600
А. А. Басов Russia 17 257 0.9× 168 0.8× 80 1.0× 81 1.1× 63 0.9× 55 536
М. Г. Барышев Russia 13 122 0.4× 169 0.8× 56 0.7× 57 0.8× 136 1.8× 54 520
Stephen E. Johnson United States 19 35 0.1× 79 0.4× 49 0.6× 35 0.5× 151 2.0× 44 846
Núria Benseny‐Cases Spain 15 48 0.2× 337 1.6× 17 0.2× 270 3.6× 117 1.6× 35 820
Dominique Georgin France 12 219 0.8× 428 2.0× 34 0.4× 61 0.8× 261 3.5× 23 1.1k
J.P. Andreux France 8 212 0.8× 248 1.2× 8 0.1× 41 0.6× 89 1.2× 8 773
Jiaying Han Germany 12 70 0.3× 160 0.8× 114 1.4× 28 0.4× 97 1.3× 22 608
Satoshi Ueno Japan 18 51 0.2× 228 1.1× 12 0.1× 6 0.1× 70 0.9× 66 1.5k
Gautam Dalwadi Australia 8 119 0.4× 134 0.6× 21 0.3× 14 0.2× 44 0.6× 9 403
Haoran Su China 15 17 0.1× 343 1.6× 38 0.5× 53 0.7× 143 1.9× 21 747

Countries citing papers authored by С. С. Джимак

Since Specialization
Citations

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

Fields of papers citing papers by С. С. Джимак

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. С. Джимак. 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 С. С. Джимак. The network helps show where С. С. Джимак may publish in the future.

Co-authorship network of co-authors of С. С. Джимак

This figure shows the co-authorship network connecting the top 25 collaborators of С. С. Джимак. A scholar is included among the top collaborators of С. С. Джимак 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 С. С. Джимак. С. С. Джимак 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.
Джимак, С. С., et al.. (2025). Influence of gelling agents on morphological properties of silver nanoparticles in the developed composition. Russian Physics Journal. 68(1). 83–89.
2.
Джимак, С. С., et al.. (2025). Localization of Potential Energy in Hydrogen Bonds of the ATXN2 Gene. International Journal of Molecular Sciences. 26(3). 933–933. 2 indexed citations
3.
Velázquez‐Pérez, Luis, et al.. (2025). Genesis of additional open state zones in the extended polyQ tract of the ATXN2 gene depends on its length and interruptions localization. Archives of Biochemistry and Biophysics. 772. 110531–110531.
4.
Rodríguez‐Labrada, Roberto, et al.. (2024). Abnormal open states patterns in the ATXN2 DNA sequence depends on the CAG repeats length. International Journal of Biological Macromolecules. 276(Pt 1). 133849–133849. 7 indexed citations
5.
Simonov, Alexandr N., et al.. (2024). Hydrogen Permeability through Surface-Modified Pd76Ag14Au10 Membranes. Membranes and Membrane Technologies. 6(6). 400–408.
6.
Джимак, С. С., et al.. (2024). Stability of the CAG Tract in the ATXN2 Gene Depends on the Localization of CAA Interruptions. Biomedicines. 12(8). 1648–1648. 5 indexed citations
7.
Anashkina, Anastasia A., et al.. (2024). Ratio of AT and GC Pairs in the Zones of Open States Genesis in DNA Molecules. Frontiers in Bioscience-Landmark. 29(11). 381–381. 2 indexed citations
8.
Baryshev, Mikhail, et al.. (2023). 8-Oxoguanine-DNA-Glycosylase Gene Polymorphism and the Effects of an Alternating Magnetic Field on the Sensitivity of Peripheral Blood. Frontiers in Bioscience-Landmark. 28(10). 252–252. 1 indexed citations
9.
Доценко, В. В., С. С. Джимак, Nicolai A. Aksenov, et al.. (2023). Structure and Neuroprotector Properties of a Complex Compound of Lithium with Comenic Acid. International Journal of Molecular Sciences. 25(1). 286–286. 1 indexed citations
10.
Доценко, В. В., et al.. (2023). Study of the Magnesium Comenate Structure, Its Neuroprotective and Stress-Protective Activity. International Journal of Molecular Sciences. 24(9). 8046–8046. 4 indexed citations
11.
Барышев, М. Г., et al.. (2022). Review of Mathematical Models Describing the Mechanical Motion in a DNA Molecule. BIOPHYSICS. 67(6). 867–875. 3 indexed citations
12.
Skrebitsky, V. G., et al.. (2021). Electrophysiological Activity and Survival Rate of Rats Nervous Tissue Cells Depends on D/H Isotopic Composition of Medium. Molecules. 26(7). 2036–2036. 7 indexed citations
13.
Басов, А. А., Liliya Fedulova, Mikhail Baryshev, & С. С. Джимак. (2019). Deuterium-Depleted Water Influence on the Isotope 2H/1H Regulation in Body and Individual Adaptation. Nutrients. 11(8). 1903–1903. 44 indexed citations
15.
Басов, А. А., et al.. (2019). Influence of Deuterium-Depleted Water on the Isotope D/H Composition of Liver Tissue and Morphological Development of Rats at Different Periods of Ontogenesis. Iranian Biomedical Journal. 23(2). 129–141. 18 indexed citations
16.
Куевда, Е. В., et al.. (2019). Quality assessment of decellularization and recellularization of tissue-engineering constructions by the chemiluminescence method. Доклады Академии наук. 484(6). 764–767. 1 indexed citations
17.
Джимак, С. С., et al.. (2018). A Mathematical Model for Basepair Opening in a DNA Double Helix. BIOPHYSICS. 63(2). 177–182. 16 indexed citations
18.
Джимак, С. С., et al.. (2015). The effect of water isotopic composition on Rhodococcus erythropolis biomass production. BIOPHYSICS. 60(1). 107–112. 11 indexed citations
19.
Барышев, М. Г., et al.. (2012). NMR, EPR, and mass spectroscopy estimates of the antiradical activity of water with modified isotope composition. Bulletin of the Russian Academy of Sciences Physics. 76(12). 1349–1352. 9 indexed citations
20.
Джимак, С. С., et al.. (2011). Investigating the nuclear magnetic resonance of the structure of electrolyte based on a LiClO4—ethylene carbonate solution. Bulletin of the Russian Academy of Sciences Physics. 75(12). 1668–1670. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026