Michael S. Samoilov
- Molecular Biology
- Genetics
- Statistical and Nonlinear Physics top 5%
- Biophysics top 5%
- Biomedical Engineering
- Co-authors
- Adam P. ArkinJohn RossGavin A PriceChris J. MyersHiroyuki KuwaharaXiaodong WangArup K. ChakrabortyLiming Wang
- Topics
- Gene Regulatory Network Analysis (9 papers)Evolution and Genetic Dynamics (5 papers)thermodynamics and calorimetric analyses (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Chemical Physics
- Partner nations
- United States
In The Last Decade
Michael S. Samoilov
14 papers receiving 624 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 544
- Genetics 158
- Statistical and Nonlinear Physics 109
- Biophysics 54
- Biomedical Engineering 51
Countries citing papers authored by Michael S. Samoilov
This map shows the geographic impact of Michael S. Samoilov'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 S. Samoilov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Samoilov more than expected).
Fields of papers citing papers by Michael S. Samoilov
This network shows the impact of papers produced by Michael S. Samoilov. 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 S. Samoilov. The network helps show where Michael S. Samoilov may publish in the future.
Co-authorship network of co-authors of Michael S. Samoilov
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Samoilov. A scholar is included among the top collaborators of Michael S. Samoilov 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 S. Samoilov. Michael S. Samoilov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | Abstracted Stochastic Analysis of Type 1 Pili Expression in E.coli. | 4 |
| 9 | 94 | |
| 10 | 90 | |
| 11 | Automated abstraction methodology for genetic regulatory networks | 1 |
| 12 | 247 | |
| 13 | 76 | |
| 14 | 69 | |
| 15 | 6 |
About Michael S. Samoilov
Michael S. Samoilov is a scholar working on Physical and Theoretical Chemistry, Genetics and Endocrinology, having authored 15 papers that have together received 649 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Evolution and Genetic Dynamics (5 papers) and thermodynamics and calorimetric analyses (2 papers). The work is most often cited by research in Biophysics (54 citations), Statistical and Nonlinear Physics (109 citations) and Molecular Biology (544 citations). Michael S. Samoilov has collaborated with scholars based in United States. Frequent co-authors include Adam P. Arkin, John Ross, Gavin A Price, Chris J. Myers, Hiroyuki Kuwahara, Xiaodong Wang, Arup K. Chakraborty, Liming Wang, Manikandan Mathur and Maxim N. Artyomov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Chemical Physics.
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.