N. M. Gretskaya
- Pharmacology top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- В. В. БезугловМ. Yu. BobrovDominique MelckVincenzo Di MarzoTiziana BisognoLuciano De PetrocellisIlya MikhalyovLennart B.‐Å. Johansson
- Topics
- Cannabis and Cannabinoid Research (19 papers)Neuroscience and Neuropharmacology Research (15 papers)Biochemical effects in animals (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiochemical JournalBiochemical and Biophysical Research Communications
In The Last Decade
N. M. Gretskaya
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Pharmacology 566
- Molecular Biology 324
- Cellular and Molecular Neuroscience 313
- Endocrinology, Diabetes and Metabolism 118
- Physiology 113
Countries citing papers authored by N. M. Gretskaya
This map shows the geographic impact of N. M. Gretskaya'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 N. M. Gretskaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. M. Gretskaya more than expected).
Fields of papers citing papers by N. M. Gretskaya
This network shows the impact of papers produced by N. M. Gretskaya. 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 N. M. Gretskaya. The network helps show where N. M. Gretskaya may publish in the future.
Co-authorship network of co-authors of N. M. Gretskaya
This figure shows the co-authorship network connecting the top 25 collaborators of N. M. Gretskaya. A scholar is included among the top collaborators of N. M. Gretskaya 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 N. M. Gretskaya. N. M. Gretskaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | Some aspects of the mechanism of cell death induction by the lipids of N-acyl dopamine family in the PC12 cancer cell line | 4 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 20 | |
| 15 | 9 | |
| 16 | 36 | |
| 17 | 40 | |
| 18 | 13 | |
| 19 | 35 | |
| 20 | 5 |
About N. M. Gretskaya
N. M. Gretskaya is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Biochemistry, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (19 papers), Neuroscience and Neuropharmacology Research (15 papers) and Biochemical effects in animals (11 papers). The work is most often cited by research in Pharmacology (566 citations), Toxicology (65 citations) and Cellular and Molecular Neuroscience (313 citations). N. M. Gretskaya has collaborated with scholars based in Russia, Sweden and Czechia. Frequent co-authors include В. В. Безуглов, М. Yu. Bobrov, Dominique Melck, Vincenzo Di Marzo, Tiziana Bisogno, Luciano De Petrocellis, Ilya Mikhalyov, Lennart B.‐Å. Johansson, Mikhail Akimov and Fredrik Bergström. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.