Edward V. Generozov

2.7k total citations · 1 hit paper
84 papers, 1.5k citations indexed

About

Edward V. Generozov is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, Edward V. Generozov has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 33 papers in Molecular Biology and 18 papers in Cell Biology. Recurrent topics in Edward V. Generozov's work include Genetics and Physical Performance (31 papers), Muscle metabolism and nutrition (17 papers) and Sports Performance and Training (13 papers). Edward V. Generozov is often cited by papers focused on Genetics and Physical Performance (31 papers), Muscle metabolism and nutrition (17 papers) and Sports Performance and Training (13 papers). Edward V. Generozov collaborates with scholars based in Russia, United Kingdom and Germany. Edward V. Generozov's co-authors include Vadim M. Govorun, Nikolay A. Kulemin, Evgeniy G. Evtushenko, В. Н. Лазарев, M. A. Livshits, Elena Khomyakova, Svetlana E. Semina, Andrey K. Larin, Ildus I. Ahmetov and Ekaterina A. Semenova and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Scientific Reports.

In The Last Decade

Edward V. Generozov

71 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Isolation of exosomes by differential centrifugation: Theoretical analysis of a commonly used protocol

2015 532 citations Nikolay A. Kulemin, Edward V. Generozov et al. profile →

Peers

Edward V. Generozov

GENET

CCM

OSM

Pedro López‐Romero Spain

Nikolay A. Kulemin Russia

Salvatore Raffa Italy

Fang Yin China

Andrew Hale United States

Rui Hua United States

Lei Xu China

Bongkun Choi South Korea

Matthew J. Robertson United States

Weiguo Hu China

Pedro López‐Romero Spain

Edward V. Generozov

1.0k ×1.2

494 ×1.2

229 ×0.6

GENET

140 ×0.6

CCM

420 ×1.8

OSM

Citations per year, relative to Edward V. Generozov Edward V. Generozov (= 1×) peers Pedro López‐Romero

Countries citing papers authored by Edward V. Generozov

Since Specialization

Citations

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

Fields of papers citing papers by Edward V. Generozov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward V. Generozov

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

All Works

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20 of 20 papers shown

John, George, Ekaterina A. Semenova, Andrey K. Larin, et al.. (2025). The ACTN3 R577X Nonsense Allele Is Underrepresented in Professional Volleyball Players and Associated with an Increased Risk of Muscle Injury in Female Players. Genes. 16(9). 1076–1076. 1 indexed citations

Zorba, Erdal, Hasan Hüseyin Kazan, Mehmet Ali Ergün, et al.. (2025). BDNF coexpresses with MTOR and is associated with muscle fiber size, lean mass and power-related traits. European Journal of Applied Physiology. 125(10). 2781–2792.

Bouzid, Amal, Rifat Hamoudi, Ekaterina A. Semenova, et al.. (2025). Association Between Genetically Predicted Memory and Self-Reported Foreign Language Proficiency. Genes. 16(5). 589–589. 1 indexed citations

Karaduman, Aynur Ayşe, Attila Szabó, George B. John, et al.. (2025). Effects of Exercise Addiction and the COL1A1 Gene rs1800012 Polymorphism on Injury Susceptibility in Elite Female Volleyball Players. Genes. 16(11). 1300–1300.

Sultanov, Rinat, Alexandra N. Bogomazova, Ksenia M. Klimina, et al.. (2024). TP63–TRIM29 axis regulates enhancer methylation and chromosomal instability in prostate cancer. Epigenetics & Chromatin. 17(1). 6–6. 3 indexed citations

Sellami, Maha, et al.. (2024). N-Lactoyl amino acids as metabolic biomarkers differentiating low and high exercise response. Biology of Sport. 42(2). 331–344. 4 indexed citations

Guilherme, João Paulo Limongi França, Ekaterina A. Semenova, Naoki Kikuchi, et al.. (2024). Identification of Genomic Predictors of Muscle Fiber Size. Cells. 13(14). 1212–1212. 5 indexed citations

Zhelankin, Andrey V., et al.. (2024). Diagnostic capabilities of circulating microRNA profiles in patients with acute coronary syndrome and stable coronary artery disease. Russian Journal of Cardiology and Cardiovascular Surgery. 17(2). 125–125.

Rahimi, Rahman, Ekaterina A. Semenova, George John, et al.. (2024). Effect of ADORA2A Gene Polymorphism and Acute Caffeine Supplementation on Hormonal Response to Resistance Exercise: A Double-Blind, Crossover, Placebo-Controlled Study. Nutrients. 16(12). 1803–1803. 4 indexed citations

10.

Smirnov, Igor P., et al.. (2024). Proteomic and transcriptomic response of human skeletal muscle to 12-week resistance training. Genes and Cells. 19(2). 279–295.

11.

Shchekochikhin, Dmitry, et al.. (2023). Evaluation of microRNA Expression Features in Patients with Various Types of Arterial Damage: Thoracic Aortic Aneurysm and Coronary Atherosclerosis. Journal of Personalized Medicine. 13(7). 1161–1161. 7 indexed citations

12.

Rahimi, Rahman, Ekaterina A. Semenova, Andrey K. Larin, et al.. (2023). The ADORA2A TT Genotype Is Associated with Anti-Inflammatory Effects of Caffeine in Response to Resistance Exercise and Habitual Coffee Intake. Nutrients. 15(7). 1634–1634. 6 indexed citations

13.

Kazan, Hasan Hüseyin, Erdal Zorba, Korkut Ulucan, et al.. (2023). Exome-Wide Association Study of Competitive Performance in Elite Athletes. Genes. 14(3). 660–660. 17 indexed citations

14.

Guilherme, João Paulo Limongi França, et al.. (2022). Genomic Predictors of Brisk Walking Are Associated with Elite Sprinter Status. Genes. 13(10). 1710–1710. 11 indexed citations

15.

Zhelankin, Andrey V., et al.. (2022). Upregulation of miRNA 23A-3P, 146A-5P AND 150A-5P as a possible diagnostic marker of unstable angina in patients with thoracic aortic aneurysm. Russian Journal of Cardiology and Cardiovascular Surgery. 15(4). 385–385. 1 indexed citations

16.

Zhelankin, Andrey V., et al.. (2022). Circulating miR-21-5p, miR-146a-5p, miR-320a-3p in patients with atrial fibrillation in combination with hypertension and coronary artery disease. CARDIOVASCULAR THERAPY AND PREVENTION. 21(1). 2814–2814. 1 indexed citations

17.

Guilherme, João Paulo Limongi França, Ekaterina A. Semenova, Oleg Borisov, et al.. (2021). Genomic predictors of testosterone levels are associated with muscle fiber size and strength. European Journal of Applied Physiology. 122(2). 415–423. 32 indexed citations

18.

Seaborne, Robert A., David C. Hughes, Daniel C. Turner, et al.. (2019). UBR5 is a novel E3 ubiquitin ligase involved in skeletal muscle hypertrophy and recovery from atrophy. The Journal of Physiology. 597(14). 3727–3749. 53 indexed citations

19.

Connolly, Joanne, Heikki Kainulainen, Ekaterina A. Semenova, et al.. (2019). Striated muscle-specific serine/threonine-protein kinase beta segregates with high versus low responsiveness to endurance exercise training. Physiological Genomics. 52(1). 35–46. 16 indexed citations

20.

Generozov, Edward V., et al.. (2016). [THE EVOLUTION OF MARKERS OF PROSTATE CANCER].. PubMed. 61(3). 132–40. 1 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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