Л. Г. Хаспеков
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 5%
- Physiology
- Developmental Neuroscience top 5%
- Co-authors
- Beat LutzН. К. ИсаевE. V. StelmashookTadeusz WielochС. Н. ИллариошкинHeike HermannGiovanni MarsicanoЕ. Е. Генрихс
- Topics
- Neuroscience and Neuropharmacology Research (44 papers)Mitochondrial Function and Pathology (12 papers)Anesthesia and Neurotoxicity Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular and Cellular BiologyFEBS Letters
- Partner nations
- RussiaUnited KingdomTajikistan
In The Last Decade
Л. Г. Хаспеков
78 papers receiving 981 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 428
- Cellular and Molecular Neuroscience 409
- Pharmacology 188
- Physiology 143
- Developmental Neuroscience 100
Countries citing papers authored by Л. Г. Хаспеков
This map shows the geographic impact of Л. Г. Хаспеков'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 Л. Г. Хаспеков with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Л. Г. Хаспеков more than expected).
Fields of papers citing papers by Л. Г. Хаспеков
This network shows the impact of papers produced by Л. Г. Хаспеков. 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 Л. Г. Хаспеков. The network helps show where Л. Г. Хаспеков may publish in the future.
Co-authorship network of co-authors of Л. Г. Хаспеков
This figure shows the co-authorship network connecting the top 25 collaborators of Л. Г. Хаспеков. A scholar is included among the top collaborators of Л. Г. Хаспеков 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 Л. Г. Хаспеков. Л. Г. Хаспеков is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | Morphofunctional Patterns of Neuronal Network Developing in Dissociated Hippocampal Cell Cultures | 17 |
| 11 | 38 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 36 | |
| 16 | 48 | |
| 17 | 153 | |
| 18 | 1 | |
| 19 | 35 | |
| 20 | 28 |
About Л. Г. Хаспеков
Л. Г. Хаспеков is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 83 papers that have together received 999 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Mitochondrial Function and Pathology (12 papers) and Anesthesia and Neurotoxicity Research (12 papers). The work is most often cited by research in Developmental Neuroscience (100 citations), Cellular and Molecular Neuroscience (409 citations) and Biological Psychiatry (41 citations). Л. Г. Хаспеков has collaborated with scholars based in Russia, United Kingdom and Tajikistan. Frequent co-authors include Beat Lutz, Н. К. Исаев, E. V. Stelmashook, Tadeusz Wieloch, С. Н. Иллариошкин, Heike Hermann, Giovanni Marsicano, Е. Е. Генрихс, I. V. Victorov and Hans Friberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and FEBS Letters.
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.