Irina Nikonenko
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Neurology top 1%
- Co-authors
- Dominique MüllerNicolas ToniPierre‐Alain BuchsClaude BronPascal JourdainYann BernardinelliStefano AlberiG. G. Skibo
- Topics
- Neuroscience and Neuropharmacology Research (32 papers)Photoreceptor and optogenetics research (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (12 papers)
- Partner nations
- SwitzerlandUkraineUnited States
In The Last Decade
Irina Nikonenko
41 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cellular and Molecular Neuroscience 2.9k
- Molecular Biology 1.5k
- Cognitive Neuroscience 991
- Developmental Neuroscience 978
- Neurology 796
Countries citing papers authored by Irina Nikonenko
This map shows the geographic impact of Irina Nikonenko'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 Irina Nikonenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Nikonenko more than expected).
Fields of papers citing papers by Irina Nikonenko
This network shows the impact of papers produced by Irina Nikonenko. 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 Irina Nikonenko. The network helps show where Irina Nikonenko may publish in the future.
Co-authorship network of co-authors of Irina Nikonenko
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Nikonenko. A scholar is included among the top collaborators of Irina Nikonenko 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 Irina Nikonenko. Irina Nikonenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 39 | |
| 3 | 259 | |
| 4 | 22 | |
| 5 | 174 | |
| 6 | 17 | |
| 7 | 26 | |
| 8 | 111 | |
| 9 | 29 | |
| 10 | 60 | |
| 11 | 100 | |
| 12 | 222 | |
| 13 | 18 | |
| 14 | 30 | |
| 15 | 87 | |
| 16 | 108 | |
| 17 | 135 | |
| 18 | 25 | |
| 19 | 5 | |
| 20 | LTP promotes formation of multiple spine synapses between a single axon terminal and a dendritebreakdown → | 779 |
About Irina Nikonenko
Irina Nikonenko is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 41 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Photoreceptor and optogenetics research (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). The work is most often cited by research in Developmental Neuroscience (978 citations), Cellular and Molecular Neuroscience (2.9k citations) and Neurology (796 citations). Irina Nikonenko has collaborated with scholars based in Switzerland, Ukraine and United States. Frequent co-authors include Dominique Müller, Nicolas Toni, Pierre‐Alain Buchs, Claude Bron, Pascal Jourdain, Yann Bernardinelli, Stefano Alberi, G. G. Skibo, Bernadett Boda and Paul Klauser. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.