Natalia Krisanova

580 total citations
28 papers, 434 citations indexed

About

Natalia Krisanova is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Natalia Krisanova has authored 28 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Natalia Krisanova's work include Neuroscience and Neuropharmacology Research (15 papers), Lipid Membrane Structure and Behavior (7 papers) and Carbon and Quantum Dots Applications (5 papers). Natalia Krisanova is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Lipid Membrane Structure and Behavior (7 papers) and Carbon and Quantum Dots Applications (5 papers). Natalia Krisanova collaborates with scholars based in Ukraine, France and United States. Natalia Krisanova's co-authors include Тatiana Borisova, Natalia Pozdnyakova, Artem Pastukhov, Marina Dudarenko, L.A. Kasatkina, N.H. Himmelreich, Л. І. Остапченко, Alexander P. Demchenko, Mariia Dekaliuk and Vladimir Lysenko and has published in prestigious journals such as Scientific Reports, Environmental Pollution and Neuroscience.

In The Last Decade

Natalia Krisanova

28 papers receiving 414 citations

Peers

Natalia Krisanova
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 143
  • Molecular Biology 128
  • Materials Chemistry 113
  • Health, Toxicology and Mutagenesis 104
  • Physiology 54
Replace Natalia Pozdnyakova with:
Natalia Pozdnyakova Ukraine
Artem Pastukhov Ukraine
Rigao Ding China
L.A. Kasatkina Ukraine
Aleksandra Stafiej Poland
Beata Dąbrowska‐Bouta Poland
Marina Dudarenko Ukraine
Xiaoyun Ma China
Lorraine Mackenzie Australia
Lihong Yin China
Natalia Pozdnyakova Ukraine View profile →
Citations per field, relative to Natalia Krisanova
Natalia Krisanova · 1×
Citations per year, relative to Natalia Krisanova
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Countries citing papers authored by Natalia Krisanova

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Krisanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Krisanova

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Krisanova. A scholar is included among the top collaborators of Natalia Krisanova 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 Krisanova. Natalia Krisanova 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
# Work Indexed citations
1 1
2 2
3 8
4 9
5 5
6 11
7 14
8 4
9 6
10 25
11 17
12 15
13 32
14 13
15 13
16 42
17 20
18 41
19 24
20 28

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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