Nathan Cho
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 10%
Papers in
-
- Phytochemical Studies and Bioactivities 3
-
- Microtubule and mitosis dynamics 5
- Cellular Mechanics and Interactions 5
- Co-authors
- Megan L. McCain (9 shared papers)Davi M. Lyra‐Leite (6 shared papers)Leanne Jade G. Chan (1 shared paper)Paul D. Adams (1 shared paper)Taek Soon Lee (1 shared paper)Nathan J. Hillson (1 shared paper)Jay D. Keasling (1 shared paper)Jorge Alonso-Gutiérrez (1 shared paper)
- Journals
- Integrative Biology (2 papers)eLife (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)
- Partner nations
- United StatesVietnamSouth Korea
In The Last Decade
Nathan Cho
24 papers receiving 601 citations
Peers
Comparison fields: 5 of 91
- Biophysics 125
- Structural Biology 22
- Cell Biology 70
- Molecular Biology 287
- Biomedical Engineering 183
Countries citing papers authored by Nathan Cho
This map shows the geographic impact of Nathan Cho'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 Nathan Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Cho more than expected).
Fields of papers citing papers by Nathan Cho
This network shows the impact of papers produced by Nathan Cho. 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 Nathan Cho. The network helps show where Nathan Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Cho, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 149 | |
| 2 | 2019 | 103 | |
| 3 | 2018 | 59 | |
| 4 | 2020 | 53 | |
| 5 | 2017 | 47 | |
| 6 | 2021 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2024 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2018 | 17 | |
| 12 | 2010 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2012 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2014 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 2 |
About Nathan Cho
Nathan Cho is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 613 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Cellular Mechanics and Interactions (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Advanced Radiotherapy Techniques (3 papers), Phytochemical Studies and Bioactivities (3 papers), 3D Printing in Biomedical Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Radiation Therapy and Dosimetry (2 papers). The work is most often cited by research in Biophysics (125 citations), Structural Biology (22 citations), Cell Biology (70 citations), Molecular Biology (287 citations) and Biomedical Engineering (183 citations). Nathan Cho has collaborated with scholars based in United States, Vietnam and South Korea. Frequent co-authors include Megan L. McCain, Davi M. Lyra‐Leite, Leanne Jade G. Chan, Paul D. Adams, Taek Soon Lee, Nathan J. Hillson, Jay D. Keasling, Jorge Alonso-Gutiérrez, Christopher J. Petzold and Héctor García Martín. Their work appears in journals such as Integrative Biology, eLife, Nature Communications, Nature Methods and Journal of Molecular and Cellular Cardiology.
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.