Kirill A. Datsenko
Impact in
- Endocrinology top 0.02%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria
Papers in
- Co-authors
- Barry L. WannerHirotada MoriTomoya BabaMasaru TomitaYuki TakaiTakeshi AraMiki HasegawaKonstantin Severinov
- Journals
- Nucleic Acids Research (7 papers)Journal of Bacteriology (5 papers)Molecular Microbiology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Communications (2 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Kirill A. Datsenko
37 papers receiving 21.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Endocrinology 4.3k
- Molecular Medicine 2.2k
- Genetics 9.8k
- Molecular Biology 14.6k
- Ecology 3.5k
Countries citing papers authored by Kirill A. Datsenko
This map shows the geographic impact of Kirill A. Datsenko'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 Kirill A. Datsenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirill A. Datsenko more than expected).
Fields of papers citing papers by Kirill A. Datsenko
This network shows the impact of papers produced by Kirill A. Datsenko. 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 Kirill A. Datsenko. The network helps show where Kirill A. Datsenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Kirill A. Datsenko, 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 | 2020 | 9 | |
| 2 | 2019 | 18 | |
| 3 | 2019 | 20 | |
| 4 | 2017 | 54 | |
| 5 | 2017 | 16 | |
| 6 | 2016 | 36 | |
| 7 | 2016 | 44 | |
| 8 | 2016 | 65 | |
| 9 | 2015 | 74 | |
| 10 | 2014 | 19 | |
| 11 | 2013 | 171 | |
| 12 | Molecular memory of prior infections activates the CRISPR/Cas adaptive bacterial immunity system Hit paper breakdown → | 2012 | 428 |
| 13 | 2012 | 0 | |
| 14 | 2010 | 179 | |
| 15 | 2009 | 60 | |
| 16 | 2009 | 37 | |
| 17 | 2007 | 49 | |
| 18 | Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection Hit paper breakdown → | 2006 | 6172 |
| 19 | 2002 | 1 | |
| 20 | One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products Hit paper breakdown → | 2000 | 12380 |
About Kirill A. Datsenko
Kirill A. Datsenko is a scholar working on Genetics, Aging, Molecular Biology, Endocrinology and Ecology, having authored 38 papers that have together received 21.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), CRISPR and Genetic Engineering (18 papers), RNA and protein synthesis mechanisms (15 papers), Bacteriophages and microbial interactions (9 papers), Viral Infections and Immunology Research (4 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Endocrinology (4.3k citations), Molecular Medicine (2.2k citations), Genetics (9.8k citations), Molecular Biology (14.6k citations) and Ecology (3.5k citations). Kirill A. Datsenko has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Barry L. Wanner, Hirotada Mori, Tomoya Baba, Masaru Tomita, Yuki Takai, Takeshi Ara, Miki Hasegawa, Konstantin Severinov, Ekaterina Semenova and Ksenia Pougach. Their work appears in journals such as Nucleic Acids Research, Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences and Nature Communications.
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.