E Selkov
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
Papers in
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- Microbial Metabolic Engineering and Bioproduction 7
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 2
- Metabolomics and Mass Spectrometry Studies 2
- Gene Regulatory Network Analysis 2
- Machine Learning in Bioinformatics 1
-
- Metal Extraction and Bioleaching 1
- Co-authors
- Igor Goryanin (4 shared papers)Alexander Mazein (1 shared paper)Anatoly Sorokin (1 shared paper)Oleg Demin (1 shared paper)Hongwu Ma (1 shared paper)Charlie Hodgman (1 shared paper)Ross Overbeek (5 shared papers)Christophe H. Schilling (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Gene (2 papers)Journal of Industrial Microbiology & Biotechnology (1 paper)Trends in Biochemical Sciences (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
E Selkov
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 966
- Computational Theory and Mathematics 63
- Biomedical Engineering 164
- Biochemistry 27
- Cancer Research 33
Countries citing papers authored by E Selkov
This map shows the geographic impact of E Selkov'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 E Selkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Selkov more than expected).
Fields of papers citing papers by E Selkov
This network shows the impact of papers produced by E Selkov. 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 E Selkov. The network helps show where E Selkov may publish in the future.
Co-authors
The 25 scholars most cited alongside E Selkov, 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 | 2007 | 323 | |
| 2 | 2001 | 231 | |
| 3 | 1999 | 106 | |
| 4 | 1997 | 100 | |
| 5 | 1998 | 91 | |
| 6 | 1996 | 67 | |
| 7 | 2000 | 51 | |
| 8 | 1997 | 31 | |
| 9 | 1997 | 28 | |
| 10 | Reconstruction of metabolic networks using incomplete information. | 1995 | 26 |
| 11 | 1997 | 2 |
About E Selkov
E Selkov is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Pharmacology and Ecology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Gene Regulatory Network Analysis (2 papers), Machine Learning in Bioinformatics (1 paper) and Metal Extraction and Bioleaching (1 paper). The work is most often cited by research in Molecular Biology (966 citations), Computational Theory and Mathematics (63 citations), Biomedical Engineering (164 citations), Biochemistry (27 citations) and Cancer Research (33 citations). E Selkov has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Igor Goryanin, Alexander Mazein, Anatoly Sorokin, Oleg Demin, Hongwu Ma, Charlie Hodgman, Ross Overbeek, Christophe H. Schilling, Markus W. Covert and Jeremy S. Edwards. Their work appears in journals such as Nucleic Acids Research, Gene, Journal of Industrial Microbiology & Biotechnology, Trends in Biochemical Sciences and Proceedings of the National Academy of Sciences.
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.