Natalia Slepko

2.0k total citations · 1 hit paper
16 papers, 1.6k citations indexed

About

Natalia Slepko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Natalia Slepko has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Natalia Slepko's work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Natalia Slepko is often cited by papers focused on Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Natalia Slepko collaborates with scholars based in Italy, United States and Russia. Natalia Slepko's co-authors include Joan Marsh, Leslie M. Thompson, Joan S. Steffan, Giulio Levi, Judit Pallos, Erica Rockabrand, Namita Agrawal, Katalin Illes, Pier Paolo Pandolfi and Tamás Lukácsovich and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Natalia Slepko

15 papers receiving 1.6k citations

Hit Papers

SUMO Modification of Huntingtin and Huntington's Disease ... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers

Natalia Slepko
Comparison fields: 5 of 91
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 948
  • Neurology 242
  • Cell Biology 154
  • Neurology 146
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Citations per field, relative to Natalia Slepko
Natalia Slepko · 1×
Citations per year, relative to Natalia Slepko
Natalia Slepko · 1×

Countries citing papers authored by Natalia Slepko

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Slepko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Slepko

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 95
2 30
3 214
4 63
5 124
6
SUMO Modification of Huntingtin and Huntington's Disease Pathology breakdown →
547
7 141
8 144
9 44
10 1
11 10
12 21
13 32
14 95
15 5
16 30

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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