Larisa Fedorova

2.1k total citations
35 papers, 1.5k citations indexed

About

Larisa Fedorova is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Larisa Fedorova has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Larisa Fedorova's work include RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (8 papers) and Chromosomal and Genetic Variations (6 papers). Larisa Fedorova is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (8 papers) and Chromosomal and Genetic Variations (6 papers). Larisa Fedorova collaborates with scholars based in United States, Russia and Italy. Larisa Fedorova's co-authors include A. N. Fedorov, Deepak Malhotra, Roy L. Silverstein, David J. Kennedy, Alexei Y. Bagrov, Sandeep Vetteth, О. В. Федорова, Zijian Xie, M. Bashar Kahaleh and Sankaridrug M. Periyasamy and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Larisa Fedorova

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larisa Fedorova United States 17 934 181 170 165 162 35 1.5k
Herbert Schramek Austria 26 880 0.9× 112 0.6× 152 0.9× 175 1.1× 155 1.0× 51 1.7k
Abdel A. Alli United States 25 971 1.0× 40 0.2× 134 0.8× 93 0.6× 213 1.3× 81 1.5k
Yuxin Xu China 25 1.1k 1.2× 161 0.9× 116 0.7× 109 0.7× 154 1.0× 94 1.9k
Hongjun Liu China 13 844 0.9× 384 2.1× 241 1.4× 41 0.2× 42 0.3× 33 1.7k
Heidi Dorward United States 17 954 1.0× 277 1.5× 178 1.0× 54 0.3× 50 0.3× 27 1.9k
Naohiko Kobayashi Japan 27 614 0.7× 404 2.2× 32 0.2× 370 2.2× 429 2.6× 55 1.8k
Wolfgang Neuhofer Germany 26 803 0.9× 51 0.3× 28 0.2× 90 0.5× 108 0.7× 54 1.7k
John H. Tinsley United States 23 1.1k 1.2× 58 0.3× 74 0.4× 45 0.3× 115 0.7× 27 1.8k
Jörg Weiske Germany 19 939 1.0× 196 1.1× 43 0.3× 56 0.3× 76 0.5× 23 1.5k
Meijia Zhang China 23 709 0.8× 232 1.3× 35 0.2× 71 0.4× 96 0.6× 70 2.0k

Countries citing papers authored by Larisa Fedorova

Since Specialization
Citations

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

Fields of papers citing papers by Larisa Fedorova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larisa Fedorova

This figure shows the co-authorship network connecting the top 25 collaborators of Larisa Fedorova. A scholar is included among the top collaborators of Larisa Fedorova 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 Larisa Fedorova. Larisa Fedorova 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.
Каманина, Н. В., et al.. (2024). Impact of Carbon-Based Nanoparticles on Polyvinyl Alcohol Polarizer Features: Photonics Applications. Nanomaterials. 14(9). 737–737. 2 indexed citations
2.
Fedorova, Larisa, et al.. (2023). Profound Non-Randomness in Dinucleotide Arrangements within Ultra-Conserved Non-Coding Elements and the Human Genome. Biology. 12(8). 1125–1125. 2 indexed citations
3.
Dutta, Rajib, et al.. (2018). 1000 human genomes carry widespread signatures of GC biased gene conversion. BMC Genomics. 19(1). 256–256. 9 indexed citations
4.
Ramakrishnan, Sadeesh K., Saja S. Khuder, Meenakshi Kaw, et al.. (2015). High-calorie diet exacerbates prostate neoplasia in mice with haploinsufficiency of Pten tumor suppressor gene. Molecular Metabolism. 4(3). 186–198. 14 indexed citations
5.
Cheng, Xi, et al.. (2015). Inference of Distant Genetic Relations in Humans Using “1000 Genomes”. Genome Biology and Evolution. 7(2). 481–492. 15 indexed citations
6.
Akkuratov, Evgeny E., Erin L. Crawford, Craig L. Zirbel, et al.. (2014). Bioinformatics analysis of plant orthologous introns: identification of an intronic tRNA-like sequence. Gene. 548(1). 81–90. 5 indexed citations
7.
McSweeny, A. John, et al.. (2014). Genome Evolution by Matrix Algorithms: Cellular Automata Approach to Population Genetics. Genome Biology and Evolution. 6(4). 988–999. 8 indexed citations
8.
Fedorova, Larisa, et al.. (2013). Mitochondrial impairment in the five-sixth nephrectomy model of chronic renal failure: proteomic approach. BMC Nephrology. 14(1). 209–209. 36 indexed citations
9.
Fedorova, Larisa, et al.. (2012). Down-regulation of the transcription factor snail in the placentas of patients with preeclampsia and in a rat model of preeclampsia. Reproductive Biology and Endocrinology. 10(1). 15–15. 31 indexed citations
10.
Fedorova, Larisa, et al.. (2011). Mid-Range Inhomogeneity of Eukaryotic Genomes. The Scientific World JOURNAL. 11. 842–854. 7 indexed citations
11.
Prakash, Ashwin, et al.. (2010). Critical association of ncRNA with introns. Nucleic Acids Research. 39(6). 2357–2366. 141 indexed citations
12.
Fedorova, Larisa, Amjad Shidyak, David J. Kennedy, et al.. (2009). The cardiotonic steroid hormone marinobufagenin induces renal fibrosis: implication of epithelial-to-mesenchymal transition. American Journal of Physiology-Renal Physiology. 296(4). F922–F934. 62 indexed citations
13.
Lee, Sang Jun, Garrett Heinrich, Larisa Fedorova, et al.. (2008). Development of Nonalcoholic Steatohepatitis in Insulin-Resistant Liver-Specific S503A Carcinoembryonic Antigen-Related Cell Adhesion Molecule 1 Mutant Mice. Gastroenterology. 135(6). 2084–2095. 34 indexed citations
14.
Smaili, Soraya S., Amjad Shidyak, Larisa Fedorova, et al.. (2008). Effects of cardiotonic steroids on dermal collagen synthesis and wound healing. Journal of Applied Physiology. 105(1). 30–36. 30 indexed citations
15.
Bazeley, Peter, В. А. Шепелев, Zohreh Talebizadeh, et al.. (2007). snoTARGET shows that human orphan snoRNA targets locate close to alternative splice junctions. Gene. 408(1-2). 172–179. 76 indexed citations
16.
Kennedy, David J., Sandeep Vetteth, Sankaridrug M. Periyasamy, et al.. (2006). Central Role for the Cardiotonic Steroid Marinobufagenin in the Pathogenesis of Experimental Uremic Cardiomyopathy. Hypertension. 47(3). 488–495. 219 indexed citations
17.
Fedorov, A. N. & Larisa Fedorova. (2006). Where is the difference between the genomes of humans and annelids?. Genome Biology. 7(1). 203–203. 3 indexed citations
18.
Fedorov, A. N., Scott William Roy, Larisa Fedorova, & Walter Gilbert. (2003). Mystery of Intron Gain. Genome Research. 13(10). 2236–2241. 61 indexed citations
19.
Fedorov, A. N., et al.. (1999). Variable and Invariable DNA Repeat Characters Revealed by Taxonprint Approach Are Useful for Molecular Systematics. Journal of Molecular Evolution. 48(1). 69–76. 12 indexed citations
20.
Fedorov, A. N., et al.. (1998). Influence of Exon Duplication on Intron and Exon Phase Distribution. Journal of Molecular Evolution. 46(3). 263–271. 33 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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