Sam Michael
Impact in
-
- Computational Drug Discovery Methods
- Biophysics top 5%
Papers in
-
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 4
-
- 3D Printing in Biomedical Research 11
- Co-authors
- Anton Simeonov (21 shared papers)Paul Shinn (18 shared papers)Christopher P. Austin (7 shared papers)Wei Zheng (13 shared papers)Marc Ferrer (11 shared papers)Ruili Huang (8 shared papers)Ajit Jadhav (6 shared papers)Menghang Xia (5 shared papers)
- Journals
- SLAS TECHNOLOGY (5 papers)SLAS DISCOVERY (4 papers)ACS Chemical Biology (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Sam Michael
50 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 434
- Biophysics 106
- Infectious Diseases 285
- Small Animals 94
- Molecular Biology 865
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-authors
The 25 scholars most cited alongside Sam Michael, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 178 | |
| 2 | 2014 | 168 | |
| 3 | 2020 | 152 | |
| 4 | 2014 | 130 | |
| 5 | 2008 | 108 | |
| 6 | 2019 | 92 | |
| 7 | 2020 | 85 | |
| 8 | 2020 | 77 | |
| 9 | 2021 | 76 | |
| 10 | 2020 | 74 | |
| 11 | 2018 | 73 | |
| 12 | 2008 | 73 | |
| 13 | 2021 | 61 | |
| 14 | 2008 | 48 | |
| 15 | 2021 | 46 | |
| 16 | 2013 | 42 | |
| 17 | 2007 | 39 | |
| 18 | 2016 | 34 | |
| 19 | 1997 | 26 | |
| 20 | 2016 | 23 |
About Sam Michael
Sam Michael is a scholar working on Molecular Biology, Biomedical Engineering, Computational Theory and Mathematics, Oncology and Infectious Diseases, 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), Cell Image Analysis Techniques (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Cancer Cells and Metastasis (4 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (434 citations), Biophysics (106 citations), Infectious Diseases (285 citations), Small Animals (94 citations) and Molecular Biology (865 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, Ruili Huang, Ajit Jadhav, Menghang Xia, Hui Guo and Raymond R. Tice. Their work appears in journals such as SLAS TECHNOLOGY, SLAS DISCOVERY, ACS Chemical Biology, Scientific Reports and Nature Communications.
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.