Inna I. Severina
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Spectroscopy top 10%
- Organic Chemistry
- Co-authors
- Vladimir P. SkulachevA. JasaitisTatyana I. RokitskayaL. GriniusYuri N. AntonenkoL. E. BakeevaE.A. LibermanDmitri O. Levitsky
- Topics
- Mitochondrial Function and Pathology (14 papers)Lipid Membrane Structure and Behavior (13 papers)Photoreceptor and optogenetics research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- RussiaTajikistanUnited States
In The Last Decade
Inna I. Severina
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 948
- Cellular and Molecular Neuroscience 285
- Physiology 136
- Spectroscopy 107
- Organic Chemistry 107
Countries citing papers authored by Inna I. Severina
This map shows the geographic impact of Inna I. Severina'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 Inna I. Severina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna I. Severina more than expected).
Fields of papers citing papers by Inna I. Severina
This network shows the impact of papers produced by Inna I. Severina. 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 Inna I. Severina. The network helps show where Inna I. Severina may publish in the future.
Co-authorship network of co-authors of Inna I. Severina
This figure shows the co-authorship network connecting the top 25 collaborators of Inna I. Severina. A scholar is included among the top collaborators of Inna I. Severina 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 Inna I. Severina. Inna I. Severina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 46 | |
| 3 | 15 | |
| 4 | 57 | |
| 5 | 39 | |
| 6 | 17 | |
| 7 | 19 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 79 | |
| 11 | 43 | |
| 12 | 44 | |
| 13 | 10 | |
| 14 | 105 | |
| 15 | 62 | |
| 16 | 50 | |
| 17 | 13 | |
| 18 | 49 | |
| 19 | 33 | |
| 20 | 38 |
About Inna I. Severina
Inna I. Severina is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Molecular Medicine, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (14 papers), Lipid Membrane Structure and Behavior (13 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (285 citations), Clinical Biochemistry (95 citations) and Molecular Biology (948 citations). Inna I. Severina has collaborated with scholars based in Russia, Tajikistan and United States. Frequent co-authors include Vladimir P. Skulachev, A. Jasaitis, Tatyana I. Rokitskaya, L. Grinius, Yuri N. Antonenko, L. E. Bakeeva, E.A. Liberman, Dmitri O. Levitsky, Antonina V. Pustovidko and Natalia V. Sumbatyan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.