Sergei Rybakov
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
Papers in
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- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 1
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- Climate change and permafrost 2
- Cryospheric studies and observations 1
- Precipitation Measurement and Analysis 1
- Co-authors
- Fabian J. Theis (4 shared papers)Mohammad Lotfollahi (3 shared papers)Isaac Virshup (2 shared papers)Michal Klein (1 shared paper)Ignacio L. Ibarra (1 shared paper)David S. Fischer (1 shared paper)Louis B. Kuemmerle (1 shared paper)Olle Holmberg (1 shared paper)
- Journals
- Nature Methods (1 paper)Nature Cell Biology (1 paper)Journal of Geophysical Research Earth Surface (1 paper)Nature Biotechnology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Sergei Rybakov
7 papers receiving 755 citations
Sergei Rybakov's Hit Papers
Peers
Comparison fields: 5 of 92
- Biophysics 171
- Molecular Biology 648
- Immunology 176
- Cancer Research 96
- Neurology 23
Countries citing papers authored by Sergei Rybakov
This map shows the geographic impact of Sergei Rybakov'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 Sergei Rybakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Rybakov more than expected).
Fields of papers citing papers by Sergei Rybakov
This network shows the impact of papers produced by Sergei Rybakov. 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 Sergei Rybakov. The network helps show where Sergei Rybakov may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergei Rybakov, 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 | Squidpy: a scalable framework for spatial omics analysis Hit paper breakdown → | 2022 | 417 |
| 2 | Mapping single-cell data to reference atlases by transfer learning Hit paper breakdown → | 2021 | 247 |
| 3 | 2023 | 46 | |
| 4 | 2024 | 43 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 |
About Sergei Rybakov
Sergei Rybakov is a scholar working on Molecular Biology, Atmospheric Science, Biophysics, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 7 papers that have together received 763 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (2 papers), Climate change and permafrost (2 papers), Hydrology and Watershed Management Studies (1 paper), Bioinformatics and Genomic Networks (1 paper), Cryospheric studies and observations (1 paper), Geophysical Methods and Applications (1 paper) and Precipitation Measurement and Analysis (1 paper). The work is most often cited by research in Biophysics (171 citations), Molecular Biology (648 citations), Immunology (176 citations), Cancer Research (96 citations) and Neurology (23 citations). Sergei Rybakov has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Fabian J. Theis, Mohammad Lotfollahi, Isaac Virshup, Michal Klein, Ignacio L. Ibarra, David S. Fischer, Louis B. Kuemmerle, Olle Holmberg, Anna C. Schaar and Hannah Spitzer. Their work appears in journals such as Nature Methods, Nature Cell Biology, Journal of Geophysical Research Earth Surface, Nature Biotechnology and SHILAP Revista de lepidopterología.
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.