Heyrim Cho
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
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- Probabilistic and Robust Engineering Design
Papers in
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- Mathematical Biology Tumor Growth 12
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- Probabilistic and Robust Engineering Design 9
- Co-authors
- Daniele Venturi (9 shared papers)George Em Karniadakis (9 shared papers)Doron Levy (5 shared papers)Russell C. Rockne (7 shared papers)Themistoklis P. Sapsis (1 shared paper)Christine E. Brown (4 shared papers)Margarita Gutova (4 shared papers)Vikram Adhikarla (3 shared papers)
- Journals
- Mathematical Biosciences & Engineering (3 papers)SIAM Journal on Scientific Computing (2 papers)Journal of Theoretical Biology (2 papers)Bulletin of Mathematical Biology (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Heyrim Cho
27 papers receiving 348 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 102
- Statistics, Probability and Uncertainty 90
- Computational Mathematics 5
- Statistical and Nonlinear Physics 73
- Oncology 106
Countries citing papers authored by Heyrim Cho
This map shows the geographic impact of Heyrim 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 Heyrim Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heyrim Cho more than expected).
Fields of papers citing papers by Heyrim Cho
This network shows the impact of papers produced by Heyrim 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 Heyrim Cho. The network helps show where Heyrim Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Heyrim 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2013 | 47 | |
| 3 | 2011 | 43 | |
| 4 | 2017 | 28 | |
| 5 | 2023 | 21 | |
| 6 | 2017 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2014 | 16 | |
| 9 | 2023 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2022 | 3 |
About Heyrim Cho
Heyrim Cho is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty, Molecular Biology, Statistical and Nonlinear Physics and Oncology, having authored 30 papers that have together received 360 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (12 papers), Probabilistic and Robust Engineering Design (9 papers), Model Reduction and Neural Networks (8 papers), CAR-T cell therapy research (6 papers), Gene Regulatory Network Analysis (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Microtubule and mitosis dynamics (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Modeling and Simulation (102 citations), Statistics, Probability and Uncertainty (90 citations), Computational Mathematics (5 citations), Statistical and Nonlinear Physics (73 citations) and Oncology (106 citations). Heyrim Cho has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Daniele Venturi, George Em Karniadakis, Doron Levy, Russell C. Rockne, Themistoklis P. Sapsis, Christine E. Brown, Margarita Gutova, Vikram Adhikarla, Prativa Sahoo and Dongrui Wang. Their work appears in journals such as Mathematical Biosciences & Engineering, SIAM Journal on Scientific Computing, Journal of Theoretical Biology, Bulletin of Mathematical Biology and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
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.