Elena Matafonova

559 total citations
8 papers, 431 citations indexed

About

Elena Matafonova is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Elena Matafonova has authored 8 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Elena Matafonova's work include Metabolomics and Mass Spectrometry Studies (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). Elena Matafonova is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). Elena Matafonova collaborates with scholars based in United States, France and Australia. Elena Matafonova's co-authors include Sean S. Davies, Venkataraman Amarnath, Yongqin Zhang, Richard L. Printz, Lilu Guo, Owen P. McGuinness, Rosemary L. Walzem, Xavier Stien, Kevin D. Niswender and Zhongyi Chen and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Elena Matafonova

7 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Matafonova United States 7 236 124 107 52 45 8 431
Lilu Guo United States 12 291 1.2× 58 0.5× 129 1.2× 47 0.9× 70 1.6× 17 520
Junrui Cheng United States 13 174 0.7× 73 0.6× 81 0.8× 91 1.8× 31 0.7× 22 465
Aki Kusumoto Japan 11 206 0.9× 110 0.9× 82 0.8× 53 1.0× 55 1.2× 12 512
Lanjie He China 8 260 1.1× 64 0.5× 108 1.0× 27 0.5× 64 1.4× 12 523
Ulrika Axling Sweden 9 226 1.0× 96 0.8× 135 1.3× 88 1.7× 47 1.0× 11 454
Elliot D. Jesch United States 12 134 0.6× 102 0.8× 69 0.6× 41 0.8× 50 1.1× 24 455
Jofre Jacob da Silva Freitas Brazil 10 137 0.6× 80 0.6× 88 0.8× 23 0.4× 21 0.5× 40 442
Varsha Shete United States 13 258 1.1× 74 0.6× 117 1.1× 127 2.4× 19 0.4× 16 515
Taisuke Koike Japan 14 188 0.8× 98 0.8× 125 1.2× 121 2.3× 52 1.2× 23 511
Renjie Shi China 13 321 1.4× 53 0.4× 135 1.3× 19 0.4× 29 0.6× 27 598

Countries citing papers authored by Elena Matafonova

Since Specialization
Citations

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

Fields of papers citing papers by Elena Matafonova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Matafonova

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

All Works

8 of 8 papers shown
1.
Matafonova, Elena, Keri A. Tallman, William E. Zackert, et al.. (2018). Simplified LC/MS assay for the measurement of isolevuglandin protein adducts in plasma and tissue samples. Analytical Biochemistry. 566. 89–101. 11 indexed citations
2.
Chen, Zhongyi, Lilu Guo, Yongqin Zhang, et al.. (2014). Incorporation of therapeutically modified bacteria into gut microbiota inhibits obesity. Journal of Clinical Investigation. 124(8). 3391–3406. 200 indexed citations
3.
Barrett, Caitlyn W., Kshipra Singh, Amy K. Motley, et al.. (2013). Dietary Selenium Deficiency Exacerbates DSS-Induced Epithelial Injury and AOM/DSS-Induced Tumorigenesis. PLoS ONE. 8(7). e67845–e67845. 83 indexed citations
4.
Davies, Sean S., Elena Matafonova, Brooke G. Pantazides, et al.. (2011). Treatment with a γ-Ketoaldehyde Scavenger Prevents Working Memory Deficits in hApoE4 Mice. Journal of Alzheimer s Disease. 27(1). 49–59. 37 indexed citations
5.
Zagol-Ikapitte, Irène, Elena Matafonova, Venkataraman Amarnath, et al.. (2010). Determination of the Pharmacokinetics and Oral Bioavailability of Salicylamine, a Potent γ-Ketoaldehyde Scavenger, by LC/MS/MS. Pharmaceutics. 2(1). 18–29. 26 indexed citations
6.
Matafonova, Elena, et al.. (2009). Isoketals form cytotoxic phosphatidylethanolamine adducts in cells. Journal of Lipid Research. 51(5). 999–1009. 44 indexed citations
7.
Nakajima, Tadashi, Sean S. Davies, Elena Matafonova, et al.. (2009). Selective γ-ketoaldehyde scavengers protect NaV1.5 from oxidant-induced inactivation. Journal of Molecular and Cellular Cardiology. 48(2). 352–359. 30 indexed citations
8.
Бохан, Н. А., et al.. (2008). P.6.d.012 Immune system in opioid addicts. European Neuropsychopharmacology. 18. S546–S546.

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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