Michael G. Tyshenko
- Ecology top 5%
- Molecular Biology
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Sociology and Political Science top 10%
- Co-authors
- Virginia K. WalkerDaniel DoucetPeter L. DaviesDaniel KrewskiRoxanne LewisTamer OrabyWilliam LeissWensheng Qin
- Topics
- Prion Diseases and Protein Misfolding (18 papers)Physiological and biochemical adaptations (10 papers)Neurobiology and Insect Physiology Research (6 papers)
- Cited by
- Modeling and SimulationAgingEcology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Biotechnology
- Partner nations
- CanadaUnited StatesKuwait
In The Last Decade
Michael G. Tyshenko
63 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Ecology 391
- Molecular Biology 377
- Genetics 199
- Cellular and Molecular Neuroscience 190
- Sociology and Political Science 173
Countries citing papers authored by Michael G. Tyshenko
This map shows the geographic impact of Michael G. Tyshenko'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 Michael G. Tyshenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Tyshenko more than expected).
Fields of papers citing papers by Michael G. Tyshenko
This network shows the impact of papers produced by Michael G. Tyshenko. 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 Michael G. Tyshenko. The network helps show where Michael G. Tyshenko may publish in the future.
Co-authorship network of co-authors of Michael G. Tyshenko
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Tyshenko. A scholar is included among the top collaborators of Michael G. Tyshenko 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 Michael G. Tyshenko. Michael G. Tyshenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 90 | |
| 6 | Toxicity testing in the 21st century: progress in the past decade and future perspectivesbreakdown → | 236 |
| 7 | 19 | |
| 8 | 0 | |
| 9 | 65 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 16 | |
| 16 | 50 | |
| 17 | Considerations for using genetic material in medical nanotechnology | 1 |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 15 |
About Michael G. Tyshenko
Michael G. Tyshenko is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Ecological Modeling, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (18 papers), Physiological and biochemical adaptations (10 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Aging (28 citations) and Ecology (391 citations). Michael G. Tyshenko has collaborated with scholars based in Canada, United States and Kuwait. Frequent co-authors include Virginia K. Walker, Daniel Doucet, Peter L. Davies, Daniel Krewski, Roxanne Lewis, Tamer Oraby, William Leiss, Wensheng Qin, Zongchao Jia and E.K. Leinala. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.