Evgeni V. Nikolaev
- Molecular Biology
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 5%
- Genetics
- Co-authors
- Costas D. MaranasAnthony P. BurgardChristophe H. SchillingAlexander I. KhibnikYuri A. KuznetsovV. N. BiktashevEduardo D. SontagAntonios Armaou
- Topics
- Gene Regulatory Network Analysis (11 papers)Nonlinear Dynamics and Pattern Formation (10 papers)Microbial Metabolic Engineering and Bioproduction (9 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Evgeni V. Nikolaev
27 papers receiving 866 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 587
- Biomedical Engineering 173
- Computer Networks and Communications 157
- Statistical and Nonlinear Physics 130
- Genetics 95
Countries citing papers authored by Evgeni V. Nikolaev
This map shows the geographic impact of Evgeni V. Nikolaev'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 Evgeni V. Nikolaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeni V. Nikolaev more than expected).
Fields of papers citing papers by Evgeni V. Nikolaev
This network shows the impact of papers produced by Evgeni V. Nikolaev. 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 Evgeni V. Nikolaev. The network helps show where Evgeni V. Nikolaev may publish in the future.
Co-authorship network of co-authors of Evgeni V. Nikolaev
This figure shows the co-authorship network connecting the top 25 collaborators of Evgeni V. Nikolaev. A scholar is included among the top collaborators of Evgeni V. Nikolaev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evgeni V. Nikolaev. Evgeni V. Nikolaev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 72 | |
| 8 | 32 | |
| 9 | 23 | |
| 10 | 8 | |
| 11 | 31 | |
| 12 | 23 | |
| 13 | 296 | |
| 14 | 31 | |
| 15 | 11 | |
| 16 | 38 | |
| 17 | 27 | |
| 18 | 4 | |
| 19 | 186 | |
| 20 | 3 |
About Evgeni V. Nikolaev
Evgeni V. Nikolaev is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology and Computer Networks and Communications, having authored 28 papers that have together received 902 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (11 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (130 citations), Molecular Biology (587 citations) and Computer Networks and Communications (157 citations). Evgeni V. Nikolaev has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Costas D. Maranas, Anthony P. Burgard, Christophe H. Schilling, Alexander I. Khibnik, Yuri A. Kuznetsov, V. N. Biktashev, Eduardo D. Sontag, Antonios Armaou, A.V. Holden and Gennady Cymbalyuk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and Genome Research.
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.