Fedor Bezrukov

8.8k total citations · 3 hit papers
52 papers, 4.1k citations indexed

About

Fedor Bezrukov is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Infectious Diseases. According to data from OpenAlex, Fedor Bezrukov has authored 52 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Nuclear and High Energy Physics, 35 papers in Astronomy and Astrophysics and 2 papers in Infectious Diseases. Recurrent topics in Fedor Bezrukov's work include Cosmology and Gravitation Theories (34 papers), Particle physics theoretical and experimental studies (32 papers) and Black Holes and Theoretical Physics (22 papers). Fedor Bezrukov is often cited by papers focused on Cosmology and Gravitation Theories (34 papers), Particle physics theoretical and experimental studies (32 papers) and Black Holes and Theoretical Physics (22 papers). Fedor Bezrukov collaborates with scholars based in Russia, Switzerland and Germany. Fedor Bezrukov's co-authors include Mikhail Shaposhnikov, Dmitry Gorbunov, Sergey Sibiryakov, M.Yu. Kalmykov, Bernd A. Kniehl, Javier Rubio, M. Lindner, Georgios K. Karananas, D. G. Levkov and C. Rebbi and has published in prestigious journals such as Nucleic Acids Research, Physics Letters B and Nature Structural & Molecular Biology.

In The Last Decade

Fedor Bezrukov

50 papers receiving 4.0k citations

Hit Papers

The Standard Model Higgs boson as the inflaton 2007 2026 2013 2019 2007 2011 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fedor Bezrukov Russia 26 3.6k 3.4k 306 253 133 52 4.1k
Takeshi Chiba Japan 28 3.1k 0.8× 3.9k 1.1× 356 1.2× 337 1.3× 99 0.7× 81 4.1k
Masahide Yamaguchi Japan 36 4.1k 1.1× 4.6k 1.4× 398 1.3× 336 1.3× 37 0.3× 144 4.9k
Massimo Giovannini Switzerland 34 2.7k 0.7× 3.5k 1.0× 365 1.2× 442 1.7× 101 0.8× 161 3.8k
A. Melchiorri Italy 54 6.9k 1.9× 7.7k 2.3× 536 1.8× 425 1.7× 52 0.4× 227 9.1k
Jun’ichi Yokoyama Japan 43 4.5k 1.2× 5.6k 1.6× 574 1.9× 363 1.4× 26 0.2× 169 5.8k
F. Finelli⋆ Italy 34 2.8k 0.8× 3.9k 1.1× 369 1.2× 363 1.4× 18 0.1× 108 4.0k
Karsten Jedamzik France 31 3.0k 0.8× 3.6k 1.1× 196 0.6× 106 0.4× 48 0.4× 62 4.0k
Levon Pogosian Canada 32 2.0k 0.5× 2.8k 0.8× 305 1.0× 171 0.7× 13 0.1× 80 3.0k
Qaisar Shafi United States 31 2.9k 0.8× 2.9k 0.8× 172 0.6× 136 0.5× 12 0.1× 108 3.2k
Sugumi Kanno Japan 21 1.2k 0.3× 1.5k 0.4× 126 0.4× 472 1.9× 49 0.4× 76 1.8k

Countries citing papers authored by Fedor Bezrukov

Since Specialization
Citations

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

Fields of papers citing papers by Fedor Bezrukov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fedor Bezrukov

This figure shows the co-authorship network connecting the top 25 collaborators of Fedor Bezrukov. A scholar is included among the top collaborators of Fedor Bezrukov 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 Fedor Bezrukov. Fedor Bezrukov 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.
Bezrukov, Fedor, et al.. (2025). Refining lower bounds on sterile neutrino dark matter mass from estimates of phase space densities in dwarf galaxies. International Journal of Modern Physics A. 40(33).
2.
Bezrukov, Fedor, Anton Chudaykin, & Dmitry Gorbunov. (2020). Scalar induced resonant sterile neutrino production in the early Universe. Physical review. D. 101(10). 4 indexed citations
3.
Bezrukov, Fedor, Julien Prados, Adriana Renzoni, & Olesya O. Panasenko. (2020). MazF toxin causes alterations in Staphylococcus aureus transcriptome, translatome and proteome that underlie bacterial dormancy. Nucleic Acids Research. 49(4). 2085–2101. 21 indexed citations
4.
Ramadori, Giorgio, Zoltán Villányi, Olesya O. Panasenko, et al.. (2020). FKBP10 Regulates Protein Translation to Sustain Lung Cancer Growth. Cell Reports. 30(11). 3851–3863.e6. 31 indexed citations
5.
Panasenko, Olesya O., et al.. (2020). YjbH Solubility Controls Spx in Staphylococcus aureus: Implication for MazEF Toxin-Antitoxin System Regulation. Frontiers in Microbiology. 11. 113–113. 13 indexed citations
6.
Panasenko, Olesya O., Syam Prakash Somasekharan, Zoltán Villányi, et al.. (2019). Co-translational assembly of proteasome subunits in NOT1-containing assemblysomes. Nature Structural & Molecular Biology. 26(2). 110–120. 80 indexed citations
7.
Bezrukov, Fedor, et al.. (2019). Some like it hot: R2 heals Higgs inflation, but does not cool it. Physics Letters B. 795. 657–665. 27 indexed citations
8.
Bezrukov, Fedor, et al.. (2018). On the robustness of the primordial power spectrum in renormalized Higgs inflation. Journal of Cosmology and Astroparticle Physics. 2018(2). 40–40. 61 indexed citations
9.
Belyaev, A., et al.. (2018). Problems with Higgsplosion. Physical review. D. 98(11). 7 indexed citations
10.
Bezrukov, Fedor & Mikhail Shaposhnikov. (2015). Why should we care about the top quark Yukawa coupling?. Journal of Experimental and Theoretical Physics. 120(3). 335–343. 73 indexed citations
11.
Bezrukov, Fedor & Mikhail Shaposhnikov. (2015). Inflation, LHC and the Higgs boson. Comptes Rendus Physique. 16(10). 994–1002. 12 indexed citations
12.
Bezrukov, Fedor, D. G. Levkov, & Sergey Sibiryakov. (2015). Semiclassical S-matrix for black holes. Journal of High Energy Physics. 2015(12). 1–42. 3 indexed citations
13.
Bezrukov, Fedor, Georgios K. Karananas, Javier Rubio, & Mikhail Shaposhnikov. (2013). Higgs-dilaton cosmology: An effective field theory approach. Physical review. D. Particles, fields, gravitation, and cosmology. 87(9). 79 indexed citations
14.
Bezrukov, Fedor, et al.. (2012). Composite inflation setup and glueball inflation. Physical review. D. Particles, fields, gravitation, and cosmology. 86(6). 32 indexed citations
15.
Bezrukov, Fedor, M.Yu. Kalmykov, Bernd A. Kniehl, & Mikhail Shaposhnikov. (2012). Higgs boson mass and new physics. Journal of High Energy Physics. 2012(10). 344 indexed citations breakdown →
16.
Bezrukov, Fedor, et al.. (2011). Higgs inflation: consistency and generalisations. Journal of High Energy Physics. 2011(1). 348 indexed citations breakdown →
17.
Bezrukov, Fedor, et al.. (2010). keV sterile neutrino dark matter in gauge extensions of the standard model. Physical review. D. Particles, fields, gravitation, and cosmology. 81(8). 142 indexed citations
18.
Bezrukov, Fedor. (2005). Neutrino minimal standard model predictions for neutrinoless double beta decay. Physical review. D. Particles, fields, gravitation, and cosmology. 72(7). 32 indexed citations
19.
Bezrukov, Fedor, D. G. Levkov, C. Rebbi, V. A. Rubakov, & P. Tinyakov. (2003). Semiclassical study of baryon and lepton number violation in high-energy electroweak collisions. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 68(3). 51 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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