Lev M. Fedorov

1.4k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Lev M. Fedorov is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Lev M. Fedorov has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Lev M. Fedorov's work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (5 papers) and Cancer-related Molecular Pathways (3 papers). Lev M. Fedorov is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (5 papers) and Cancer-related Molecular Pathways (3 papers). Lev M. Fedorov collaborates with scholars based in United States, Germany and Russia. Lev M. Fedorov's co-authors include Lionel Larue, Mami Ohsugi, Rolf Kemler, Kurt Herrenknecht, Ulf R. Rapp, Annette O. Walter, Eugen Kerkhoff, Theofilos Papadopoulos, Carl Pelz and Jennifer C. Darnell and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and Gastroenterology.

In The Last Decade

Lev M. Fedorov

32 papers receiving 1.1k citations

Hit Papers

Lack of β-catenin affects mouse development at gastrulation 1995 2026 2005 2015 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lev M. Fedorov United States 12 823 142 118 115 103 34 1.1k
Takao Kuroda Japan 13 1.0k 1.3× 163 1.1× 169 1.4× 73 0.6× 64 0.6× 18 1.2k
Yong Cang China 20 810 1.0× 83 0.6× 214 1.8× 100 0.9× 49 0.5× 33 1.1k
R. Tyler Hillman United States 16 719 0.9× 215 1.5× 183 1.6× 48 0.4× 79 0.8× 53 1.0k
Tarja Lamminen Finland 19 821 1.0× 184 1.3× 123 1.0× 68 0.6× 50 0.5× 35 1.3k
Clémence Carron France 18 665 0.8× 76 0.5× 185 1.6× 111 1.0× 41 0.4× 26 1.1k
Ningling Kang‐Decker United States 7 573 0.7× 156 1.1× 117 1.0× 295 2.6× 48 0.5× 7 970
Cynthia Rothblum‐Oviatt United States 9 613 0.7× 120 0.8× 181 1.5× 111 1.0× 34 0.3× 12 847
Bénédicte Haenig Germany 10 832 1.0× 235 1.7× 70 0.6× 53 0.5× 140 1.4× 12 1.1k
Chitra Kannabiran India 21 847 1.0× 341 2.4× 173 1.5× 80 0.7× 38 0.4× 71 1.5k
Dina A. Faddah United States 9 1.9k 2.3× 180 1.3× 94 0.8× 80 0.7× 132 1.3× 12 2.0k

Countries citing papers authored by Lev M. Fedorov

Since Specialization
Citations

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

Fields of papers citing papers by Lev M. Fedorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev M. Fedorov. 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 Lev M. Fedorov. The network helps show where Lev M. Fedorov may publish in the future.

Co-authorship network of co-authors of Lev M. Fedorov

This figure shows the co-authorship network connecting the top 25 collaborators of Lev M. Fedorov. A scholar is included among the top collaborators of Lev M. Fedorov 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 Lev M. Fedorov. Lev M. Fedorov 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.
Rodriguez‐Contreras, Dayana, Joseph J. Lebowitz, Cheryl Reed, et al.. (2025). Mice carrying the human dopamine D2 receptor pathogenic mutation p.Met374Arg exhibit hyperactivity and aberrant D2 receptor function. Molecular Pharmacology. 107(11). 100080–100080.
2.
Lima, Ana Cláudia, Mariam Okhovat, Kimberly A. Nevonen, et al.. (2025). Deletion of an evolutionarily conserved TAD boundary impacts spermatogenesis in mice. Biology of Reproduction. 112(4). 767–779. 2 indexed citations
3.
Minko, Irina G., et al.. (2024). The Distinct Roles of NEIL1 and XPA in Limiting Aflatoxin B1–Induced Mutagenesis in Mice. Molecular Cancer Research. 23(1). 46–58. 4 indexed citations
4.
Wang, Yingming, et al.. (2024). Influence of the storage conditions of embryo culture media on mouse development. In Vitro Cellular & Developmental Biology - Animal. 60(3). 300–306.
5.
Krey, Jocelyn F., Chang Liu, Inna A. Belyantseva, et al.. (2022). ANKRD24 organizes TRIOBP to reinforce stereocilia insertion points. The Journal of Cell Biology. 221(4). 11 indexed citations
6.
Rodriguez‐Contreras, Dayana, Joseph J. Lebowitz, Lev M. Fedorov, et al.. (2022). Gait Abnormalities and Aberrant D2 Receptor Expression and Signaling in Mice Carrying the Human Pathogenic Mutation DRD2. Molecular Pharmacology. 103(3). 188–198. 3 indexed citations
7.
Barnard, Rebecca, et al.. (2022). Shared and Distinct Functional Effects of Patient-Specific Tbr1 Mutations on Cortical Development. Journal of Neuroscience. 42(37). 7166–7181. 6 indexed citations
8.
Zhang, Wenri, Elyse M. Allen, Lev M. Fedorov, et al.. (2022). GPR39 Knockout Worsens Microcirculatory Response to Experimental Stroke in a Sex-Dependent Manner. Translational Stroke Research. 14(5). 766–775. 11 indexed citations
9.
10.
Ryu, Hyunju, Xiao‐Xin Sun, Yingxiao Chen, et al.. (2021). The deubiquitinase USP36 promotes snoRNP group SUMOylation and is essential for ribosome biogenesis. EMBO Reports. 22(6). e50684–e50684. 25 indexed citations
11.
Winn, Shelley R., Sandra Dudley, Lev M. Fedorov, et al.. (2020). A novel Pah-exon1 deleted murine model of phenylalanine hydroxylase (PAH) deficiency. Molecular Genetics and Metabolism. 131(3). 306–315. 11 indexed citations
12.
Tian, Qi, Pavel Gromov, Joachim H. Clement, et al.. (2017). RHEB1 insufficiency in aged male mice is associated with stress-induced seizures. GeroScience. 39(5-6). 557–570. 7 indexed citations
13.
Tian, Qi, James L. Smart, Joachim H. Clement, et al.. (2015). RHEB1 expression in embryonic and postnatal mouse. Histochemistry and Cell Biology. 145(5). 561–572. 2 indexed citations
14.
Naugler, Willscott E., Branden Tarlow, Lev M. Fedorov, et al.. (2015). Fibroblast Growth Factor Signaling Controls Liver Size in Mice With Humanized Livers. Gastroenterology. 149(3). 728–740.e15. 80 indexed citations
15.
Schmid, Michael, Claus Steinlein, Qi Tian, et al.. (2014). Mosaic variegated aneuploidy in mouse BubR1 deficient embryos and pregnancy loss in human. Chromosome Research. 22(3). 375–392. 8 indexed citations
16.
Wagner, Toni U., et al.. (2008). STAT3 and SMAD1 Signaling in Medaka Embryonic Stem-Like Cells and Blastula Embryos. Stem Cells and Development. 18(1). 151–160. 7 indexed citations
17.
Fedorov, Lev M., Carolin Schmittwolf, Kerstin Amann, et al.. (2006). Renal failure causes early death of bcl-2 deficient mice. Mechanisms of Ageing and Development. 127(7). 600–609. 11 indexed citations
18.
Chernigovskaya, E. V., et al.. (2005). Apoptotic signaling proteins: possible participation in the regulation of vasopressin and catecholamines biosynthesis in the hypothalamus. Histochemistry and Cell Biology. 124(6). 523–533. 20 indexed citations
19.
Fedorov, Lev M., et al.. (2001). Tet-system for the regulation of gene expression during embryonic development. Transgenic Research. 10(3). 247–258. 21 indexed citations
20.
Fedorov, Lev M., et al.. (2000). T Lymphocytes of Allophenic Mice Do Not Reject Spleen Colony-Forming Units of the Parental Genotypes. Journal of Hematotherapy & Stem Cell Research. 9(4). 517–523. 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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