Pavel Morozov
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- Thomas TuschlThalia A. FaraziAndrey RzhetskyRichard AxelLeslie B. VosshallHubert AmreinJessica I. HoellHemant Suryawanshi
- Topics
- MicroRNA in disease regulation (14 papers)Cancer-related molecular mechanisms research (10 papers)RNA modifications and cancer (10 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Pavel Morozov
43 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.8k
- Cancer Research 2.3k
- Cellular and Molecular Neuroscience 1.5k
- Genetics 953
- Immunology 812
Countries citing papers authored by Pavel Morozov
This map shows the geographic impact of Pavel Morozov'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 Pavel Morozov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Morozov more than expected).
Fields of papers citing papers by Pavel Morozov
This network shows the impact of papers produced by Pavel Morozov. 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 Pavel Morozov. The network helps show where Pavel Morozov may publish in the future.
Co-authorship network of co-authors of Pavel Morozov
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Morozov. A scholar is included among the top collaborators of Pavel Morozov 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 Pavel Morozov. Pavel Morozov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitisbreakdown → | 310 |
| 3 | 94 | |
| 4 | 14 | |
| 5 | 79 | |
| 6 | 76 | |
| 7 | 87 | |
| 8 | 30 | |
| 9 | MicroRNAs in Human Cancerbreakdown → | 598 |
| 10 | Abstract 10918: High-Throughput Sequencing Analysis of microRNA Profile Dynamics in Patients with Advanced Heart Failure Undergoing Ventricular Assist Device Placement in Comparison to Normal Adult and Fetal Cardiac Expression | 1 |
| 11 | 275 | |
| 12 | 256 | |
| 13 | 108 | |
| 14 | 134 | |
| 15 | 436 | |
| 16 | A Chemosensory Gene Family Encoding Candidate Gustatory and Olfactory Receptors in Drosophilabreakdown → | 537 |
| 17 | Using BLAST, A DNA and Protein Sequence Comparison Tool, for Finding Gene and Protein Names in Journal Articles | 0 |
| 18 | A Spatial Map of Olfactory Receptor Expression in the Drosophila Antennabreakdown → | 891 |
| 19 | 6 | |
| 20 | 2 |
About Pavel Morozov
Pavel Morozov is a scholar working on Cancer Research, Molecular Biology and Sensory Systems, having authored 44 papers that have together received 6.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (10 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (2.3k citations), Sensory Systems (487 citations) and Cellular and Molecular Neuroscience (1.5k citations). Pavel Morozov has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas Tuschl, Thalia A. Farazi, Andrey Rzhetsky, Richard Axel, Leslie B. Vosshall, Hubert Amrein, Jessica I. Hoell, Hemant Suryawanshi, Aitor Garzia and Miguel Brown. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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.