Natalia Ermolova

1.1k citations
19 papers · 820 indexed · h-index 14
Topics
Muscle Physiology and Disorders (8 papers)Protein Structure and Dynamics (4 papers)Calpain Protease Function and Regulation (4 papers)

In The Last Decade

Natalia Ermolova

19 papers receiving 816 citations

Peers

Natalia Ermolova
Comparison fields: 5 of 77
  • Molecular Biology 681
  • Genetics 166
  • Cell Biology 119
  • Cellular and Molecular Neuroscience 100
  • Materials Chemistry 88
Replace Pyotr A. Tyurin‐Kuzmin with:
Pyotr A. Tyurin‐Kuzmin Russia
Eun‐Young Shin South Korea
Cynthia A. Sparks United States
Jiuhong Huang China
Barbara Mlody Germany
Michelle Percharde United Kingdom
Nuria Martí Gutiérrez Spain
Payam A. Gammage United Kingdom
Daisuke Morito Japan
Craig S. Newman United States
Natalia Ermolova relative to Pyotr A. Tyurin‐Kuzmin Russia Pyotr A. Tyurin‐Kuzmin's profile →
Citations per field
00.5×9.8×
Pyotr A. Tyurin‐Kuzmin · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 8
3 51
4 6
5 1
6 282
7 29
8 5
9 15
10 44
11 40
12 36
13 41
14 21
15 128
16 37
17 20
18 27
19 26

About Natalia Ermolova

Natalia Ermolova is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 19 papers that have together received 820 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Protein Structure and Dynamics (4 papers) and Calpain Protease Function and Regulation (4 papers). The work is most often cited by research in Aging (23 citations), Molecular Biology (681 citations) and Cell Biology (119 citations). Natalia Ermolova has collaborated with scholars based in United States, France and Germany. Frequent co-authors include H. Ronald Kaback, Melissa J. Spencer, Irina Kramerova, Stanley F. Nelson, Pushpa Venkatesan, Stathis Frillingos, M. Carrie Miceli, Michael R. Hicks, Jerome A. Zack and April D. Pyle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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