Alexey Kozlenkov
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Stella DrachevaYasmin L. HurdPanos RoussosJosé Luís MillánMarc HoylaertsGary R. LewinBin ZhangJohn F. Fullard
- Topics
- Gamma-ray bursts and supernovae (10 papers)Epigenetics and DNA Methylation (10 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Alexey Kozlenkov
44 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 333
- Physiology 307
- Genetics 280
- Endocrinology, Diabetes and Metabolism 192
Countries citing papers authored by Alexey Kozlenkov
This map shows the geographic impact of Alexey Kozlenkov'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 Alexey Kozlenkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Kozlenkov more than expected).
Fields of papers citing papers by Alexey Kozlenkov
This network shows the impact of papers produced by Alexey Kozlenkov. 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 Alexey Kozlenkov. The network helps show where Alexey Kozlenkov may publish in the future.
Co-authorship network of co-authors of Alexey Kozlenkov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Kozlenkov. A scholar is included among the top collaborators of Alexey Kozlenkov 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 Alexey Kozlenkov. Alexey Kozlenkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 8 | |
| 3 | 15 | |
| 4 | 271 | |
| 5 | 27 | |
| 6 | 31 | |
| 7 | 49 | |
| 8 | 23 | |
| 9 | 72 | |
| 10 | 66 | |
| 11 | 25 | |
| 12 | 35 | |
| 13 | 29 | |
| 14 | 41 | |
| 15 | 67 | |
| 16 | 67 | |
| 17 | Fast variability of cosmic gamma-ray bursts recorded with the APEX experiment of international PHOBOS mission. | 0 |
| 18 | Rapid Variability of Cosmic Gamma-Ray Bursts Detected in the Apex Experiment in the PHOBOS International Project | 0 |
| 19 | Two-photon generation of electron-positron pairs in a strong magnetic field | 2 |
| 20 | Polarimetry of cosmic sources of hard gamma-ray emission | 1 |
About Alexey Kozlenkov
Alexey Kozlenkov is a scholar working on Biological Psychiatry, Astronomy and Astrophysics and Developmental Neuroscience, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (10 papers), Epigenetics and DNA Methylation (10 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Sensory Systems (100 citations) and Cellular and Molecular Neuroscience (333 citations). Alexey Kozlenkov has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Stella Dracheva, Yasmin L. Hurd, Panos Roussos, José Luís Millán, Marc Hoylaerts, Gary R. Lewin, Bin Zhang, John F. Fullard, Minghui Wang and Mads E. Hauberg. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.