Dmitry Sitnikov
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Biomedical Text Mining and Ontologies 2
- bioluminescence and chemiluminescence research 2
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
-
- Photoreceptor and optogenetics research 1
- Co-authors
- Thomas Baldwin (4 shared papers)Jeffrey B. Schineller (2 shared papers)Judith A. Blake (2 shared papers)Karin Verspoor (1 shared paper)Michael Bada (1 shared paper)Lawrence Hunter (1 shared paper)Kevin Bretonnel Cohen (1 shared paper)Donald L. Evans (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Molecular Microbiology (1 paper)Mammalian Genome (1 paper)BMC Bioinformatics (1 paper)Food Science and Biotechnology (1 paper)
- Partner nations
- United StatesRussiaAustralia
In The Last Decade
Dmitry Sitnikov
7 papers receiving 450 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 80
- Genetics 160
- Molecular Biology 366
- Molecular Medicine 18
- Artificial Intelligence 108
Countries citing papers authored by Dmitry Sitnikov
This map shows the geographic impact of Dmitry Sitnikov'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 Dmitry Sitnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Sitnikov more than expected).
Fields of papers citing papers by Dmitry Sitnikov
This network shows the impact of papers produced by Dmitry Sitnikov. 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 Dmitry Sitnikov. The network helps show where Dmitry Sitnikov may publish in the future.
Co-authors
The 19 scholars most cited alongside Dmitry Sitnikov, 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 | 2012 | 179 | |
| 2 | 1996 | 140 | |
| 3 | 1995 | 117 | |
| 4 | 1996 | 15 | |
| 5 | 2015 | 9 | |
| 6 | 2025 | 2 | |
| 7 | 1996 | 1 |
About Dmitry Sitnikov
Dmitry Sitnikov is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Endocrinology and Infectious Diseases, having authored 7 papers that have together received 463 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (3 papers), Biomedical Text Mining and Ontologies (2 papers), bioluminescence and chemiluminescence research (2 papers), Gene expression and cancer classification (1 paper), Vibrio bacteria research studies (1 paper), Bacterial Genetics and Biotechnology (1 paper), Bioinformatics and Genomic Networks (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Endocrinology (80 citations), Genetics (160 citations), Molecular Biology (366 citations), Molecular Medicine (18 citations) and Artificial Intelligence (108 citations). Dmitry Sitnikov has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Thomas Baldwin, Jeffrey B. Schineller, Judith A. Blake, Karin Verspoor, Michael Bada, Lawrence Hunter, Kevin Bretonnel Cohen, Donald L. Evans, Kristin Garcia and William A. Baumgartner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Mammalian Genome, BMC Bioinformatics and Food Science and Biotechnology.
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.