Anton Nekrutenko
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Plant Science top 0.5%
- Ecology top 1%
- Information Systems and Management top 0.1%
- Co-authors
- James TaylorJeremy GoecksDaniel BlankenbergWen‐Hsiung LiEnis AfganDave BouvierDave ClementsGregory Von Kuster
- Topics
- Genomics and Phylogenetic Studies (42 papers)RNA and protein synthesis mechanisms (22 papers)Scientific Computing and Data Management (22 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Anton Nekrutenko
84 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Molecular Biology 9.4k
- Genetics 2.2k
- Plant Science 2.2k
- Ecology 1.7k
- Information Systems and Management 1.6k
Countries citing papers authored by Anton Nekrutenko
This map shows the geographic impact of Anton Nekrutenko'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 Anton Nekrutenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Nekrutenko more than expected).
Fields of papers citing papers by Anton Nekrutenko
This network shows the impact of papers produced by Anton Nekrutenko. 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 Anton Nekrutenko. The network helps show where Anton Nekrutenko may publish in the future.
Co-authorship network of co-authors of Anton Nekrutenko
This figure shows the co-authorship network connecting the top 25 collaborators of Anton Nekrutenko. A scholar is included among the top collaborators of Anton Nekrutenko 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 Anton Nekrutenko. Anton Nekrutenko 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 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 17 | |
| 8 | 51 | |
| 9 | 20 | |
| 10 | Ten Simple Rules for Reproducible Computational Researchbreakdown → | 418 |
| 11 | 18 | |
| 12 | 41 | |
| 13 | 55 | |
| 14 | 51 | |
| 15 | 2 | |
| 16 | Galaxy: A platform for interactive large-scale genome analysisbreakdown → | 1541 |
| 17 | 15 | |
| 18 | 17 | |
| 19 | 76 | |
| 20 | 231 |
About Anton Nekrutenko
Anton Nekrutenko is a scholar working on Information Systems and Management, Molecular Biology and Biophysics, having authored 87 papers that have together received 14.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (42 papers), RNA and protein synthesis mechanisms (22 papers) and Scientific Computing and Data Management (22 papers). The work is most often cited by research in Information Systems and Management (1.6k citations), Molecular Biology (9.4k citations) and Aging (162 citations). Anton Nekrutenko has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James Taylor, Jeremy Goecks, Daniel Blankenberg, Wen‐Hsiung Li, Enis Afgan, Dave Bouvier, Dave Clements, Gregory Von Kuster, Dannon Baker and Nate Coraor. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.