Alexandre Poliakov
Impact in
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- Plant Diversity and Evolution
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Plant and Fungal Species Descriptions
- Developmental Biology and Gene Regulation
Papers in
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- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 1
- Gene expression and cancer classification 1
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- Chromosomal and Genetic Variations 3
- Plant-Microbe Interactions and Immunity 1
- Garlic and Onion Studies 1
- Co-authors
- Inna Dubchak (5 shared papers)Edward M. Rubin (1 shared paper)Kelly A. Frazer (1 shared paper)Lior Pachter (1 shared paper)Nickolai Alexandrov (2 shared papers)Frances Nikki Borja (2 shared papers)Millicent D. Alexandrov Sanciangco (2 shared papers)Victor Solovyev (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Bioinformatics (2 papers)Current Plant Biology (1 paper)Kartofel` i ovoshi (1 paper)
- Partner nations
- United StatesPhilippinesCanada
In The Last Decade
Alexandre Poliakov
6 papers receiving 2.3k citations
Alexandre Poliakov's Hit Papers
Peers
Comparison fields: 5 of 101
- Ecology, Evolution, Behavior and Systematics 511
- Molecular Biology 1.7k
- Genetics 655
- Plant Science 821
- Cell Biology 214
Countries citing papers authored by Alexandre Poliakov
This map shows the geographic impact of Alexandre Poliakov'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 Alexandre Poliakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Poliakov more than expected).
Fields of papers citing papers by Alexandre Poliakov
This network shows the impact of papers produced by Alexandre Poliakov. 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 Alexandre Poliakov. The network helps show where Alexandre Poliakov may publish in the future.
Co-authors
The 22 scholars most cited alongside Alexandre Poliakov, 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 | VISTA: computational tools for comparative genomics Hit paper breakdown → | 2004 | 2068 |
| 2 | 2016 | 228 | |
| 3 | 2016 | 32 | |
| 4 | 2014 | 21 | |
| 5 | 2013 | 17 | |
| 6 | 2020 | 1 |
About Alexandre Poliakov
Alexandre Poliakov is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers), RNA and protein synthesis mechanisms (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Machine Learning in Bioinformatics (1 paper), Garlic and Onion Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (511 citations), Molecular Biology (1.7k citations), Genetics (655 citations), Plant Science (821 citations) and Cell Biology (214 citations). Alexandre Poliakov has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Inna Dubchak, Edward M. Rubin, Kelly A. Frazer, Lior Pachter, Nickolai Alexandrov, Frances Nikki Borja, Millicent D. Alexandrov Sanciangco, Victor Solovyev, Locedie Mansueto and Roven Rommel Fuentes. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Current Plant Biology and Kartofel` i ovoshi.
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.