С. И. Фадеев

429 total citations
32 papers, 322 citations indexed

About

С. И. Фадеев is a scholar working on Molecular Biology, Catalysis and Materials Chemistry. According to data from OpenAlex, С. И. Фадеев has authored 32 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Catalysis and 7 papers in Materials Chemistry. Recurrent topics in С. И. Фадеев's work include Gene Regulatory Network Analysis (7 papers), Catalytic Processes in Materials Science (6 papers) and Catalysis and Oxidation Reactions (6 papers). С. И. Фадеев is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Catalytic Processes in Materials Science (6 papers) and Catalysis and Oxidation Reactions (6 papers). С. И. Фадеев collaborates with scholars based in Russia, United States and Czechia. С. И. Фадеев's co-authors include В. А. Лихошвай, Т. М. Хлебодарова, Н. А. Колчанов, Eric Mjolsness, В. А. Кириллов, А. Б. Шигаров, Victoria Mironova, Н. А. Кузин, V. R. Belosludov and Yu. A. Dyadin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

С. И. Фадеев

29 papers receiving 297 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. И. Фадеев Russia 12 151 84 53 52 40 32 322
Ganesh A. Viswanathan India 11 151 1.0× 7 0.1× 20 0.4× 28 0.5× 12 0.3× 29 289
Yuki Tanaka Japan 10 139 0.9× 169 2.0× 8 0.2× 51 1.0× 4 0.1× 24 430
Zheng Yuan China 13 110 0.7× 34 0.4× 3 0.1× 56 1.1× 5 0.1× 41 481
Alexander Slepoy United States 5 133 0.9× 4 0.0× 7 0.1× 48 0.9× 22 0.6× 8 210
D. Xiao China 10 87 0.6× 22 0.3× 5 0.1× 25 0.5× 3 0.1× 45 367
F. Kubota Japan 14 32 0.2× 125 1.5× 7 0.1× 10 0.2× 7 0.2× 58 545
Yujiro Honma Japan 12 90 0.6× 83 1.0× 8 0.2× 104 2.0× 17 0.4× 22 345
Francisco J. Morales Spain 9 50 0.3× 27 0.3× 13 0.2× 21 0.4× 1 0.0× 31 289
M. Streun Germany 12 45 0.3× 229 2.7× 6 0.1× 6 0.1× 19 0.5× 34 659
Stefano Cozzini Italy 9 69 0.5× 7 0.1× 5 0.1× 169 3.3× 10 0.3× 26 453

Countries citing papers authored by С. И. Фадеев

Since Specialization
Citations

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

Fields of papers citing papers by С. И. Фадеев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of С. И. Фадеев

This figure shows the co-authorship network connecting the top 25 collaborators of С. И. Фадеев. A scholar is included among the top collaborators of С. И. Фадеев 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. И. Фадеев. С. И. Фадеев 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.
Akberdin, Ilya R., et al.. (2023). Impact of Negative Feedbacks on De Novo Pyrimidines Biosynthesis in Escherichia coli. International Journal of Molecular Sciences. 24(5). 4806–4806. 6 indexed citations
2.
Фадеев, С. И.. (2020). Nonlinear Oscillations in the Clock Frequency Generator Excitedby a Sequence of Concentrated Electrostatic Pulses Coordinated with theOscillations. Journal of Applied and Industrial Mathematics. 14(3). 443–455.
3.
Фадеев, С. И.. (2020). Numerical Study of Nonlinear Oscillations in a Clock FrequencyMEMS-Generator. Journal of Applied and Industrial Mathematics. 14(2). 296–307. 2 indexed citations
4.
Akberdin, Ilya R., et al.. (2018). Pluripotency gene network dynamics: System views from parametric analysis. PLoS ONE. 13(3). e0194464–e0194464. 13 indexed citations
5.
Лихошвай, В. А., et al.. (2017). Multiple Scenarios of Transition to Chaos in the Alternative Splicing Model. International Journal of Bifurcation and Chaos. 27(2). 1730006–1730006. 11 indexed citations
6.
Лихошвай, В. А., et al.. (2016). Chaos and Hyperchaos in a Model of Ribosome Autocatalytic Synthesis. Scientific Reports. 6(1). 38870–38870. 15 indexed citations
7.
Хлебодарова, Т. М., et al.. (2016). Chaos and hyperchaos in simple gene network with negative feedback and time delays. Journal of Bioinformatics and Computational Biology. 15(2). 1650042–1650042. 25 indexed citations
8.
Лихошвай, В. А., et al.. (2014). Alternative splicing can lead to chaos. Journal of Bioinformatics and Computational Biology. 13(1). 1540003–1540003. 21 indexed citations
9.
Kostsov, É. G. & С. И. Фадеев. (2013). New microelectromechanical cavities for gigahertz frequencies. Optoelectronics Instrumentation and Data Processing. 49(2). 204–210. 5 indexed citations
10.
Mironova, Victoria, et al.. (2010). A plausible mechanism for auxin patterning along the developing root. BMC Systems Biology. 4(1). 74 indexed citations
11.
Gunbin, Konstantin, et al.. (2007). MODEL OF THE RECEPTION OF HEDGEHOG MORPHOGEN CONCENTRATION GRADIENT: COMPARISON WITH AN EXTENDED RANGE OF EXPERIMENTAL DATA. Journal of Bioinformatics and Computational Biology. 5(02b). 491–506. 2 indexed citations
12.
Кириллов, В. А., С. И. Фадеев, Н. А. Кузин, & А. Б. Шигаров. (2007). Modeling of a heat-coupled catalytic reactor with co-current oxidation and conversion flows. Chemical Engineering Journal. 134(1-3). 131–137. 20 indexed citations
13.
Фадеев, С. И., et al.. (2006). A systems approach to morphogenesis in Arabidopsis thaliana: II. Modeling the regulation of shoot apical meristem structure. BIOPHYSICS. 51(S1). 83–90. 2 indexed citations
14.
Михайлова, И. А., et al.. (2003). Mathematical modelling of exothermic catalytic reaction in a single partially-wetted porous catalyst particle. Chemical Engineering Journal. 91(2-3). 181–189. 9 indexed citations
15.
Шигаров, А. Б., et al.. (2002). Simplified treatment of mass transfer for gas-phase hydrogenation/dehydrogenation of heavy compounds. Korean Journal of Chemical Engineering. 19(2). 252–260. 5 indexed citations
16.
Лихошвай, В. А., et al.. (2001). Relationship between a Gene Network Graph and Qualitative Modes of Its Functioning. Molecular Biology. 35(6). 926–932. 6 indexed citations
17.
Кириллов, В. А., et al.. (2001). Mathematical Model of a Catalytic Process on a Porous Grain in a Gas–Liquid–Solid Three-Phase System. Doklady Chemistry. 376(1-3). 42–45. 4 indexed citations
18.
Быков, В. И., et al.. (1996). Parametric analysis of kinetic models, XI. Influence of the number of active sites. Reaction Kinetics and Catalysis Letters. 57(1). 133–140. 1 indexed citations
19.
Иванов, Е. А., В. И. Савченко, & С. И. Фадеев. (1996). Kinetic model ofCO oxidation on a nonuniform surface analyzed with regard toCO ads spillover, III. Homotopic method. Effect of the reaction mixture composition. Reaction Kinetics and Catalysis Letters. 59(1). 67–73. 1 indexed citations
20.
Belosludov, V. R., Yu. A. Dyadin, G. N. Chekhova, Boris A. Kolesov, & С. И. Фадеев. (1985). Hydroquinone clathrates and the theory of clathrate formation. Journal of Inclusion Phenomena and Macrocyclic Chemistry. 3(3). 243–260. 15 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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