Sarah D. Olson
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
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- Micro and Nano Robotics 16
-
- Microfluidic and Bio-sensing Technologies 11
- Co-authors
- Lisa Fauci (5 shared papers)Susan S. Suárez (3 shared papers)Ricardo Cortez (2 shared papers)Sookkyung Lim (2 shared papers)Karin Leiderman (5 shared papers)Homer F. Walker (1 shared paper)Yongsam Kim (1 shared paper)Amity L. Manning (2 shared papers)
- Journals
- Journal of Theoretical Biology (3 papers)Bulletin of Mathematical Biology (3 papers)Journal of Computational Physics (2 papers)Physics of Fluids (2 papers)Physical review. E (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Sarah D. Olson
28 papers receiving 405 citations
Peers
Comparison fields: 5 of 73
- Condensed Matter Physics 233
- Reproductive Medicine 81
- Computational Mechanics 105
- Biomedical Engineering 187
- Physiology 11
Countries citing papers authored by Sarah D. Olson
This map shows the geographic impact of Sarah D. Olson'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 Sarah D. Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah D. Olson more than expected).
Fields of papers citing papers by Sarah D. Olson
This network shows the impact of papers produced by Sarah D. Olson. 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 Sarah D. Olson. The network helps show where Sarah D. Olson may publish in the future.
Co-authors
The 20 scholars most cited alongside Sarah D. Olson, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2011 | 51 | |
| 3 | 2011 | 42 | |
| 4 | 2014 | 33 | |
| 5 | 2010 | 29 | |
| 6 | 2016 | 28 | |
| 7 | 2015 | 23 | |
| 8 | 2016 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2012 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2021 | 4 |
About Sarah D. Olson
Sarah D. Olson is a scholar working on Condensed Matter Physics, Biomedical Engineering, Computational Mechanics, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 29 papers that have together received 410 indexed citations. Recurring topics across this work include Micro and Nano Robotics (16 papers), Microfluidic and Bio-sensing Technologies (11 papers), Orbital Angular Momentum in Optics (7 papers), Lattice Boltzmann Simulation Studies (7 papers), Sperm and Testicular Function (4 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Condensed Matter Physics (233 citations), Reproductive Medicine (81 citations), Computational Mechanics (105 citations), Biomedical Engineering (187 citations) and Physiology (11 citations). Sarah D. Olson has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Lisa Fauci, Susan S. Suárez, Ricardo Cortez, Sookkyung Lim, Karin Leiderman, Homer F. Walker, Yongsam Kim, Amity L. Manning, Mansoor A. Haider and Weifan Liu. Their work appears in journals such as Journal of Theoretical Biology, Bulletin of Mathematical Biology, Journal of Computational Physics, Physics of Fluids and Physical review. E.
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.