Natalia Ermolova

1.1k total citations
19 papers, 820 citations indexed

About

Natalia Ermolova is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Natalia Ermolova has authored 19 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Natalia Ermolova's work include Muscle Physiology and Disorders (8 papers), Protein Structure and Dynamics (4 papers) and Calpain Protease Function and Regulation (4 papers). Natalia Ermolova is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Protein Structure and Dynamics (4 papers) and Calpain Protease Function and Regulation (4 papers). Natalia Ermolova collaborates with scholars based in United States, France and Germany. Natalia Ermolova's co-authors include H. Ronald Kaback, Melissa J. Spencer, Irina Kramerova, Stanley F. Nelson, April D. Pyle, Donald B. Kohn, Shahab Younesi, Haruko Nakano, Jerome A. Zack and Atsushi Nakano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Natalia Ermolova

19 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia Ermolova United States 14 681 166 119 100 88 19 820
Chris Gordon United States 15 565 0.8× 44 0.3× 59 0.5× 73 0.7× 94 1.1× 32 979
Ashraf N. Malhas United Kingdom 16 823 1.2× 136 0.8× 208 1.7× 21 0.2× 42 0.5× 18 1.1k
Naohisa Yoshioka Japan 13 787 1.2× 119 0.7× 125 1.1× 71 0.7× 13 0.1× 15 978
B Beiderman United States 7 763 1.1× 78 0.5× 214 1.8× 165 1.6× 48 0.5× 9 863
Elena González-Muñoz Spain 14 396 0.6× 53 0.3× 125 1.1× 63 0.6× 20 0.2× 25 685
Craig S. Newman United States 13 690 1.0× 138 0.8× 92 0.8× 116 1.2× 56 0.6× 21 885
Peter J. Rapiejko United States 15 730 1.1× 232 1.4× 208 1.7× 80 0.8× 18 0.2× 17 1.0k
Piroska E. Rakoczy Australia 17 1.0k 1.5× 168 1.0× 85 0.7× 73 0.7× 20 0.2× 39 1.5k
Xiaojing Lou United States 10 522 0.8× 51 0.3× 216 1.8× 191 1.9× 39 0.4× 10 787
Wojciech Pokrzywa Poland 14 592 0.9× 48 0.3× 190 1.6× 91 0.9× 24 0.3× 35 770

Countries citing papers authored by Natalia Ermolova

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Ermolova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Ermolova

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Ermolova. A scholar is included among the top collaborators of Natalia Ermolova 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 Natalia Ermolova. Natalia Ermolova 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.
Ermolova, Natalia, et al.. (2024). Insights into VDAC Gating: Room-Temperature X-ray Crystal Structure of mVDAC-1. Biomolecules. 14(10). 1203–1203. 3 indexed citations
2.
Elgeti, Matthias, Aviv Paz, Thorsten Althoff, et al.. (2023). Membrane potential accelerates sugar uptake by stabilizing the outward facing conformation of the Na/glucose symporter vSGLT. Nature Communications. 14(1). 7511–7511. 8 indexed citations
3.
Kramerova, Irina, Natalia Ermolova, Ekaterina Mokhonova, et al.. (2019). Spp1 (osteopontin) promotes TGFβ processing in fibroblasts of dystrophin-deficient muscles through matrix metalloproteinases. Human Molecular Genetics. 28(20). 3431–3442. 51 indexed citations
4.
Jiang, Xiaoxu, et al.. (2019). The proton electrochemical gradient induces a kinetic asymmetry in the symport cycle of LacY. Proceedings of the National Academy of Sciences. 117(2). 977–981. 6 indexed citations
5.
Ermolova, Natalia, et al.. (2019). The importance of proteolytic and oxidative degradation of proteins in the developmentof uterine fibroids. Russian Bulletin of Obstetrician-Gynecologist. 19(2). 42–42. 1 indexed citations
6.
Kramerova, Irina, Natalia Ermolova, Ascia Eskin, et al.. (2016). Failure to up-regulate transcription of genes necessary for muscle adaptation underlies limb girdle muscular dystrophy 2A (calpainopathy). Human Molecular Genetics. 25(11). 2194–2207. 29 indexed citations
7.
Young, Courtney S., Michael R. Hicks, Natalia Ermolova, et al.. (2016). A Single CRISPR-Cas9 Deletion Strategy that Targets the Majority of DMD Patients Restores Dystrophin Function in hiPSC-Derived Muscle Cells. Cell stem cell. 18(4). 533–540. 282 indexed citations
8.
Martinez, Leonel, Natalia Ermolova, Tomo‐o Ishikawa, et al.. (2015). A reporter mouse for optical imaging of inflammation in mdx muscles. Skeletal Muscle. 5(1). 15–15. 5 indexed citations
9.
Ermolova, Natalia, Irina Kramerova, & Melissa J. Spencer. (2014). Autolytic Activation of Calpain 3 Proteinase Is Facilitated by Calmodulin Protein. Journal of Biological Chemistry. 290(2). 996–1004. 15 indexed citations
10.
Ermolova, Natalia, Leonel Martinez, Sylvia Vetrone, et al.. (2014). Long-term administration of the TNF blocking drug Remicade (cV1q) to mdx mice reduces skeletal and cardiac muscle fibrosis, but negatively impacts cardiac function. Neuromuscular Disorders. 24(7). 583–595. 44 indexed citations
11.
Kramerova, Irina, Elena Kudryashova, Natalia Ermolova, et al.. (2012). Impaired calcium calmodulin kinase signaling and muscle adaptation response in the absence of calpain 3. Human Molecular Genetics. 21(14). 3193–3204. 40 indexed citations
12.
Ermolova, Natalia, Elena Kudryashova, Marino DiFranco, et al.. (2011). Pathogenity of some limb girdle muscular dystrophy mutations can result from reduced anchorage to myofibrils and altered stability of calpain 3. Human Molecular Genetics. 20(17). 3331–3345. 36 indexed citations
13.
Nie, Yiling, Natalia Ermolova, & H. Ronald Kaback. (2007). Site-directed Alkylation of LacY: Effect of the Proton Electrochemical Gradient. Journal of Molecular Biology. 374(2). 356–364. 41 indexed citations
14.
Ermolova, Natalia, et al.. (2006). Site-Directed Alkylation of Cysteine Replacements in the Lactose Permease of Escherichia coli :  Helices I, III, VI, and XI. Biochemistry. 45(13). 4182–4189. 21 indexed citations
15.
Kaback, H. Ronald, et al.. (2006). Site-directed alkylation and the alternating access model for LacY. Proceedings of the National Academy of Sciences. 104(2). 491–494. 128 indexed citations
16.
Ermolova, Natalia, И. Н. Смирнова, Vladimir N. Kasho, & H. Ronald Kaback. (2005). Interhelical Packing Modulates Conformational Flexibility in the Lactose Permease of Escherichia coli. Biochemistry. 44(21). 7669–7677. 37 indexed citations
17.
18.
Ermolova, Natalia, Lan Guan, & H. Ronald Kaback. (2003). Intermolecular thiol cross-linking via loops in the lactose permease of Escherichia coli. Proceedings of the National Academy of Sciences. 100(18). 10187–10192. 27 indexed citations
19.

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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