Sergueï Sokol

1.1k total citations
19 papers, 804 citations indexed

About

Sergueï Sokol is a scholar working on Molecular Biology, Clinical Biochemistry and Food Science. According to data from OpenAlex, Sergueï Sokol has authored 19 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 3 papers in Food Science. Recurrent topics in Sergueï Sokol's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Metabolism and Genetic Disorders (4 papers). Sergueï Sokol is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Metabolism and Genetic Disorders (4 papers). Sergueï Sokol collaborates with scholars based in France, Mexico and Spain. Sergueï Sokol's co-authors include Jean‐Charles Portais, Pierre Millard, Fabien Létisse, Jean François, Véronique Le Berre, Grażyna Palamarczyk, Klaudia Kuranda, Nicolás Rozés, José Manuel Guillamón and Gemma Beltran and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Sergueï Sokol

19 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergueï Sokol France 11 603 172 137 80 69 19 804
Andrey A. Mironov Russia 20 1.2k 1.9× 132 0.8× 75 0.5× 63 0.8× 49 0.7× 56 1.4k
Mónica Montero-Lomelı́ Brazil 16 590 1.0× 128 0.7× 82 0.6× 55 0.7× 89 1.3× 47 836
Haihua Ruan China 16 465 0.8× 225 1.3× 69 0.5× 52 0.7× 39 0.6× 39 790
Virginia McDonough United States 13 1.0k 1.7× 105 0.6× 92 0.7× 76 0.9× 50 0.7× 23 1.2k
Joseph Stukey United States 13 1.1k 1.9× 103 0.6× 99 0.7× 86 1.1× 50 0.7× 15 1.4k
Christophe Malabat France 14 1.1k 1.8× 154 0.9× 114 0.8× 48 0.6× 32 0.5× 19 1.3k
Wan‐Sheng Lo Taiwan 13 1.2k 1.9× 429 2.5× 153 1.1× 120 1.5× 63 0.9× 17 1.3k
Claudio Falcone Italy 20 949 1.6× 165 1.0× 130 0.9× 194 2.4× 30 0.4× 44 1.1k
Mark T. McCammon United States 20 1.1k 1.9× 221 1.3× 45 0.3× 81 1.0× 86 1.2× 29 1.4k
Marcus Krantz Sweden 13 1.0k 1.7× 273 1.6× 132 1.0× 185 2.3× 50 0.7× 28 1.2k

Countries citing papers authored by Sergueï Sokol

Since Specialization
Citations

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

Fields of papers citing papers by Sergueï Sokol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergueï Sokol

This figure shows the co-authorship network connecting the top 25 collaborators of Sergueï Sokol. A scholar is included among the top collaborators of Sergueï Sokol 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 Sergueï Sokol. Sergueï Sokol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Guvakova, Marina A. & Sergueï Sokol. (2022). The g3mclass is a practical software for multiclass classification on biomarkers. Scientific Reports. 12(1). 18742–18742. 1 indexed citations
2.
Cahoreau, Edern, Pierre Millard, Brice Enjalbert, et al.. (2021). Exploring the Glucose Fluxotype of the E. coli y-ome Using High-Resolution Fluxomics. Metabolites. 11(5). 271–271. 8 indexed citations
3.
Millard, Pierre, Sergueï Sokol, Michael Kohlstedt, et al.. (2021). IsoSolve: An Integrative Framework to Improve Isotopic Coverage and Consolidate Isotopic Measurements by Mass Spectrometry and/or Nuclear Magnetic Resonance. Analytical Chemistry. 93(27). 9428–9436. 4 indexed citations
4.
Sokol, Sergueï & Jean‐Charles Portais. (2015). Theoretical Basis for Dynamic Label Propagation in Stationary Metabolic Networks under Step and Periodic Inputs. PLoS ONE. 10(12). e0144652–e0144652. 2 indexed citations
5.
Heux, Stéphanie, et al.. (2014). A novel platform for automated high-throughput fluxome profiling of metabolic variants. Metabolic Engineering. 25. 8–19. 27 indexed citations
6.
Millard, Pierre, Fabien Létisse, Sergueï Sokol, & Jean‐Charles Portais. (2014). Correction of MS Data for Naturally Occurring Isotopes in Isotope Labelling Experiments. Methods in molecular biology. 197–207. 4 indexed citations
7.
Millard, Pierre, Sergueï Sokol, Fabien Létisse, & Jean‐Charles Portais. (2013). IsoDesign: A software for optimizing the design of 13C‐metabolic flux analysis experiments. Biotechnology and Bioengineering. 111(1). 202–208. 27 indexed citations
8.
Момыналиев, К. Т., Oksana V. Selezneva, Andrei Larin, et al.. (2013). Modulation of helicobacter pylori transcriptional profile by subinhibitory concentrations of rifampicin. HAL (Le Centre pour la Communication Scientifique Directe). 23–29. 1 indexed citations
9.
Millard, Pierre, Fabien Létisse, Sergueï Sokol, & Jean‐Charles Portais. (2012). IsoCor: correcting MS data in isotope labeling experiments. Bioinformatics. 28(9). 1294–1296. 203 indexed citations
10.
Sokol, Sergueï, Pierre Millard, & Jean‐Charles Portais. (2011). influx_s: increasing numerical stability and precision for metabolic flux analysis in isotope labelling experiments. Bioinformatics. 28(5). 687–693. 50 indexed citations
11.
Arellanes‐Robledo, Jaime, Adriana Márquez-Quiñones, Rebeca García‐Román, et al.. (2010). Celecoxib activates Stat5 and restores or increases the expression of growth hormone-regulated genes in hepatocarcinogenesis. Anti-Cancer Drugs. 21(4). 411–422. 6 indexed citations
12.
Sokol, Sergueï, et al.. (2010). An Approach to the Study of Gene Expression in Hepatocarcinogenesis Initiation. Translational Oncology. 3(2). 142–IN8. 13 indexed citations
13.
Kuranda, Klaudia, Kariona A. Grabińska, Thierry Bergès, et al.. (2009). TheYTA7gene is involved in the regulation of the isoprenoid pathway in the yeastSaccharomyces cerevisiae. FEMS Yeast Research. 9(3). 381–390. 7 indexed citations
14.
Lamarre, Claude, Sergueï Sokol, Jean-Paul Debeaupuis, et al.. (2008). Transcriptomic analysis of the exit from dormancy of Aspergillus fumigatus conidia. BMC Genomics. 9(1). 417–417. 107 indexed citations
15.
Guimarães, Pedro M. R., Véronique Le Berre, Sergueï Sokol, et al.. (2008). Comparative transcriptome analysis between original and evolved recombinant lactose‐consuming Saccharomyces cerevisiae strains. Biotechnology Journal. 3(12). 1591–1597. 11 indexed citations
16.
Beltran, Gemma, Maïté Novo, Sergueï Sokol, et al.. (2006). Integration of transcriptomic and metabolic analyses for understanding the global responses of low-temperature winemaking fermentations. FEMS Yeast Research. 6(8). 1167–1183. 95 indexed citations
17.
Pérez‐Carreón, Julio Isael, Samia Fattel‐Fazenda, Véronique Le Berre, et al.. (2006). Gene Expression Profile Related to the Progression of Preneoplastic Nodules toward Hepatocellular Carcinoma in Rats. Neoplasia. 8(5). 373–IN7. 27 indexed citations
18.
Novo, Maïté, Gemma Beltran, Nicolás Rozés, et al.. (2006). Early transcriptional response of wine yeast after rehydration: osmotic shock and metabolic activation. FEMS Yeast Research. 7(2). 304–316. 39 indexed citations
19.
Kuranda, Klaudia, Véronique Le Berre, Sergueï Sokol, Grażyna Palamarczyk, & Jean François. (2006). Investigating the caffeine effects in the yeast Saccharomyces cerevisiae brings new insights into the connection between TOR, PKC and Ras/cAMP signalling pathways. Molecular Microbiology. 61(5). 1147–1166. 172 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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