Irina N. Krasnova
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Neurology top 2%
- Biological Psychiatry top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Jean Lud CadetBruce LadenheimSubramaniam JayanthiMichael T. McCoyChristie BrannockZuzana JustinováЛ. А. КарцоваMikhail V. Pletnikov
- Topics
- Neuroscience and Neuropharmacology Research (28 papers)Neurotransmitter Receptor Influence on Behavior (26 papers)Receptor Mechanisms and Signaling (12 papers)
- Partner nations
- United StatesRussiaCzechia
In The Last Decade
Irina N. Krasnova
57 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 1.9k
- Molecular Biology 1.2k
- Neurology 454
- Biological Psychiatry 415
- Cognitive Neuroscience 388
Countries citing papers authored by Irina N. Krasnova
This map shows the geographic impact of Irina N. Krasnova'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 N. Krasnova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina N. Krasnova more than expected).
Fields of papers citing papers by Irina N. Krasnova
This network shows the impact of papers produced by Irina N. Krasnova. 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 N. Krasnova. The network helps show where Irina N. Krasnova may publish in the future.
Co-authorship network of co-authors of Irina N. Krasnova
This figure shows the co-authorship network connecting the top 25 collaborators of Irina N. Krasnova. A scholar is included among the top collaborators of Irina N. Krasnova 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 N. Krasnova. Irina N. Krasnova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 17 | |
| 3 | 32 | |
| 4 | 37 | |
| 5 | 19 | |
| 6 | 103 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 74 | |
| 10 | 44 | |
| 11 | 30 | |
| 12 | 122 | |
| 13 | 20 | |
| 14 | 84 | |
| 15 | 31 | |
| 16 | 52 | |
| 17 | 54 | |
| 18 | 232 | |
| 19 | 13 | |
| 20 | 2 |
About Irina N. Krasnova
Irina N. Krasnova is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Neurotransmitter Receptor Influence on Behavior (26 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Biological Psychiatry (415 citations), Cellular and Molecular Neuroscience (1.9k citations) and Toxicology (264 citations). Irina N. Krasnova has collaborated with scholars based in United States, Russia and Czechia. Frequent co-authors include Jean Lud Cadet, Bruce Ladenheim, Subramaniam Jayanthi, Michael T. McCoy, Christie Brannock, Zuzana Justinová, Л. А. Карцова, Mikhail V. Pletnikov, Kevin G. Becker and Geetha Kannan. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.