Sam Michael
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Biomedical Engineering top 10%
- Infectious Diseases top 5%
- Oncology
- Co-authors
- Anton SimeonovPaul ShinnChristopher P. AustinWei ZhengMarc FerrerAjit JadhavRuili HuangMenghang Xia
- Topics
- Computational Drug Discovery Methods (12 papers)3D Printing in Biomedical Research (11 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Sam Michael
50 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 865
- Computational Theory and Mathematics 434
- Biomedical Engineering 381
- Infectious Diseases 285
- Oncology 184
Countries citing papers authored by Sam Michael
This map shows the geographic impact of Sam Michael'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 Sam Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Michael more than expected).
Fields of papers citing papers by Sam Michael
This network shows the impact of papers produced by Sam Michael. 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 Sam Michael. The network helps show where Sam Michael may publish in the future.
Co-authorship network of co-authors of Sam Michael
This figure shows the co-authorship network connecting the top 25 collaborators of Sam Michael. A scholar is included among the top collaborators of Sam Michael 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 Sam Michael. Sam Michael is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 61 | |
| 10 | 76 | |
| 11 | 6 | |
| 12 | 152 | |
| 13 | 92 | |
| 14 | 15 | |
| 15 | 16 | |
| 16 | 130 | |
| 17 | 178 | |
| 18 | 14 | |
| 19 | 108 | |
| 20 | 39 |
About Sam Michael
Sam Michael is a scholar working on Biophysics, Computational Theory and Mathematics and Molecular Biology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), 3D Printing in Biomedical Research (11 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (434 citations), Biophysics (106 citations) and Infectious Diseases (285 citations). Sam Michael has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Anton Simeonov, Paul Shinn, Christopher P. Austin, Wei Zheng, Marc Ferrer, Ajit Jadhav, Ruili Huang, Menghang Xia, Hui Guo and Raymond R. Tice. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.