Alexej Abyzov
- Genetics top 0.5%
- Genomic variations and chromosomal abnormalities 20
- Genomics and Rare Diseases 11
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 21
- Developmental Neuroscience top 2%
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 13
- CRISPR and Genetic Engineering 9
- Genomics and Chromatin Dynamics 9
- Single-cell and spatial transcriptomics 8
- Aging top 10%
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- Chromosomal and Genetic Variations 9
- Co-authors
- Mark GersteinAlexander E. UrbanM SnyderFlora M. VaccarinoJessica MarianiLivia TomasiniGianfilippo CoppolaValentin Ilyin
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Alexej Abyzov
64 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 1.9k
- Cancer Research 820
- Developmental Neuroscience 190
- Molecular Biology 3.2k
- Aging 34
Countries citing papers authored by Alexej Abyzov
This map shows the geographic impact of Alexej Abyzov'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 Alexej Abyzov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexej Abyzov more than expected).
Fields of papers citing papers by Alexej Abyzov
This network shows the impact of papers produced by Alexej Abyzov. 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 Alexej Abyzov. The network helps show where Alexej Abyzov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexej Abyzov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 54 | |
| 9 | 2021 | 35 | |
| 10 | 2021 | 55 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 41 | |
| 15 | 2019 | 60 | |
| 16 | 2017 | 169 | |
| 17 | 2016 | 5 | |
| 18 | CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencingbreakdown → | 2011 | 1059 |
| 19 | 2011 | 55 | |
| 20 | 2008 | 30 |
About Alexej Abyzov
Alexej Abyzov is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 68 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), Genomic variations and chromosomal abnormalities (20 papers), Genomics and Phylogenetic Studies (13 papers), Genomics and Rare Diseases (11 papers), CRISPR and Genetic Engineering (9 papers), Genomics and Chromatin Dynamics (9 papers), Chromosomal and Genetic Variations (9 papers) and Single-cell and spatial transcriptomics (8 papers). The work is most often cited by research in Genetics (1.9k citations), Cancer Research (820 citations) and Developmental Neuroscience (190 citations). Alexej Abyzov has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mark Gerstein, Alexander E. Urban, M Snyder, Flora M. Vaccarino, Jessica Mariani, Livia Tomasini, Gianfilippo Coppola, Valentin Ilyin, Anna Szekely and Michael Wilson. Their work appears in journals such as Nature, Science and Cell.
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.