И. А. Гривенников
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Developmental Neuroscience top 5%
- Behavioral Neuroscience top 10%
- Co-authors
- О. В. ДолотовN. F. MyasoedovЛ. А. АндрееваN. G. LevitskayaС. Н. ИллариошкинV. Z. TarantulEkaterina ManuilovaЛ. Г. Хаспеков
- Topics
- Pluripotent Stem Cells Research (30 papers)CRISPR and Genetic Engineering (17 papers)Neuroscience and Neuropharmacology Research (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchInternational Journal of Molecular Sciences
- Partner nations
- RussiaTajikistanGermany
In The Last Decade
И. А. Гривенников
73 papers receiving 618 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 274
- Cellular and Molecular Neuroscience 232
- Physiology 163
- Developmental Neuroscience 81
- Behavioral Neuroscience 63
Countries citing papers authored by И. А. Гривенников
This map shows the geographic impact of И. А. Гривенников'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 И. А. Гривенников with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites И. А. Гривенников more than expected).
Fields of papers citing papers by И. А. Гривенников
This network shows the impact of papers produced by И. А. Гривенников. 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 И. А. Гривенников. The network helps show where И. А. Гривенников may publish in the future.
Co-authorship network of co-authors of И. А. Гривенников
This figure shows the co-authorship network connecting the top 25 collaborators of И. А. Гривенников. A scholar is included among the top collaborators of И. А. Гривенников 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 И. А. Гривенников. И. А. Гривенников is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | The effects of gravity vector randomization on mouse embryonic stem cells in vitro | 2 |
| 18 | 3 | |
| 19 | 3 | |
| 20 | Nootropic analogue of adrenocorticotropin 4-10-semax (the experience of design and investigation over 15 years) | 2 |
About И. А. Гривенников
И. А. Гривенников is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 82 papers that have together received 648 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Developmental Neuroscience (81 citations) and Behavioral Neuroscience (63 citations). И. А. Гривенников has collaborated with scholars based in Russia, Tajikistan and Germany. Frequent co-authors include О. В. Долотов, N. F. Myasoedov, Л. А. Андреева, N. G. Levitskaya, С. Н. Иллариошкин, V. Z. Tarantul, Ekaterina Manuilova, Л. Г. Хаспеков, Yu. A. Zolotarev and A.A. Kamensky. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and International Journal of Molecular Sciences.
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.