Andreï Zinovyev
- Cancer Research top 2%
- Oncology top 2%
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks 46
- Gene Regulatory Network Analysis 36
- Gene expression and cancer classification 22
- Single-cell and spatial transcriptomics 18
- Microbial Metabolic Engineering and Bioproduction 12
- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 8
- Immunology top 5%
- Modeling and Simulation top 2%
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- Computational Drug Discovery Methods 11
- Co-authors
- Alexander N. GorbanEmmanuel BarillotLaurence CalzoneFrançois KépèsAlessandra CarboneInna KupersteinAnne Vincent‐SalomonBrigitte Bourachot
- Journals
- Bioinformatics (11 papers)BMC Systems Biology (6 papers)PLoS Computational Biology (6 papers)
- Partner nations
- FranceRussiaUnited Kingdom
In The Last Decade
Andreï Zinovyev
121 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cancer Research 979
- Oncology 1.5k
- Molecular Biology 3.3k
- Immunology 854
- Modeling and Simulation 158
Countries citing papers authored by Andreï Zinovyev
This map shows the geographic impact of Andreï Zinovyev'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 Andreï Zinovyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreï Zinovyev more than expected).
Fields of papers citing papers by Andreï Zinovyev
This network shows the impact of papers produced by Andreï Zinovyev. 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 Andreï Zinovyev. The network helps show where Andreï Zinovyev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreï Zinovyev, 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 | 2023 | 12 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 81 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 4 | |
| 6 | Single-Cell Analysis Reveals Fibroblast Clusters Linked to Immunotherapy Resistance in Cancerbreakdown → | 2020 | 554 |
| 7 | 2020 | 35 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 11 | |
| 11 | 2018 | 73 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 37 | |
| 14 | 2017 | 23 | |
| 15 | 2016 | 29 | |
| 16 | 2015 | 14 | |
| 17 | 2015 | 57 | |
| 18 | 2015 | 86 | |
| 19 | 2012 | 8 | |
| 20 | 2008 | 64 |
About Andreï Zinovyev
Andreï Zinovyev is a scholar working on Computational Mathematics, Modeling and Simulation and Molecular Biology, having authored 123 papers that have together received 5.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (46 papers), Gene Regulatory Network Analysis (36 papers), Gene expression and cancer classification (22 papers), Single-cell and spatial transcriptomics (18 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Computational Drug Discovery Methods (11 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Cancer Research (979 citations), Oncology (1.5k citations) and Molecular Biology (3.3k citations). Andreï Zinovyev has collaborated with scholars based in France, Russia and United Kingdom. Frequent co-authors include Alexander N. Gorban, Emmanuel Barillot, Laurence Calzone, François Képès, Alessandra Carbone, Inna Kuperstein, Anne Vincent‐Salomon, Brigitte Bourachot, Yann Kieffer and Fatima Mechta‐Grigoriou. Their work appears in journals such as Bioinformatics, BMC Systems Biology, PLoS Computational Biology, Nature Communications and BMC Bioinformatics.
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.