S. М. Коrogod
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Physiology
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Suzanne Tyč-DumontPatrick DelmasP. GoganDmitri A. RusakovNadine ClercFrançois MaingretBertrand CosteFrançoise Padilla
- Topics
- Neural dynamics and brain function (38 papers)Neuroscience and Neural Engineering (30 papers)Neuroscience and Neuropharmacology Research (27 papers)
- Partner nations
- UkraineFranceUnited States
In The Last Decade
S. М. Коrogod
63 papers receiving 641 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 410
- Cognitive Neuroscience 271
- Molecular Biology 239
- Physiology 133
- Statistical and Nonlinear Physics 79
Countries citing papers authored by S. М. Коrogod
This map shows the geographic impact of S. М. Коrogod'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 S. М. Коrogod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. М. Коrogod more than expected).
Fields of papers citing papers by S. М. Коrogod
This network shows the impact of papers produced by S. М. Коrogod. 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 S. М. Коrogod. The network helps show where S. М. Коrogod may publish in the future.
Co-authorship network of co-authors of S. М. Коrogod
This figure shows the co-authorship network connecting the top 25 collaborators of S. М. Коrogod. A scholar is included among the top collaborators of S. М. Коrogod 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 S. М. Коrogod. S. М. Коrogod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 38 | |
| 5 | 2 | |
| 6 | 134 | |
| 7 | The electro-dynamics of the dendritic space in Purkinje cells of the cerebellum. | 11 |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 11 | |
| 13 | 18 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 35 | |
| 18 | 13 | |
| 19 | 19 | |
| 20 | 35 |
About S. М. Коrogod
S. М. Коrogod is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 69 papers that have together received 653 indexed citations. Recurring topics across this work include Neural dynamics and brain function (38 papers), Neuroscience and Neural Engineering (30 papers) and Neuroscience and Neuropharmacology Research (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (410 citations), Cognitive Neuroscience (271 citations) and Sensory Systems (53 citations). S. М. Коrogod has collaborated with scholars based in Ukraine, France and United States. Frequent co-authors include Suzanne Tyč-Dumont, Patrick Delmas, P. Gogan, Dmitri A. Rusakov, Nadine Clerc, François Maingret, Bertrand Coste, Françoise Padilla, Marcel Crest and Leonid P. Savtchenko. Their work appears in journals such as Nature Communications, Journal of Neuroscience and The Journal of Comparative Neurology.
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.