Heyrim Cho
Impact in
- Computational Mathematics top 5%
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
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- Mathematical Biology Tumor Growth 11
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- Gene Regulatory Network Analysis 5
- Single-cell and spatial transcriptomics 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Daniele Venturi (6 shared papers)George Em Karniadakis (6 shared papers)Doron Levy (5 shared papers)Russell C. Rockne (6 shared papers)Themistoklis P. Sapsis (1 shared paper)Christine E. Brown (3 shared papers)Vikram Adhikarla (3 shared papers)Margarita Gutova (3 shared papers)
- Journals
- Mathematical Biosciences & Engineering (3 papers)Journal of Theoretical Biology (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)SIAM Journal on Scientific Computing (2 papers)Bulletin of Mathematical Biology (2 papers)
- Partner nations
- United StatesSwitzerlandMexico
In The Last Decade
Heyrim Cho
23 papers receiving 331 citations
Peers
Comparison fields: 5 of 69
- Computational Mathematics 20
- Modeling and Simulation 97
- Statistics, Probability and Uncertainty 89
- Statistical and Nonlinear Physics 77
- Oncology 101
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2013 | 46 | |
| 3 | 2015 | 38 | |
| 4 | 2011 | 37 | |
| 5 | 2017 | 26 | |
| 6 | 2023 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2013 | 14 | |
| 9 | 2014 | 12 | |
| 10 | 2018 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2022 | 3 |
About Heyrim Cho
Heyrim Cho is a scholar working on Modeling and Simulation, Molecular Biology, Statistics, Probability and Uncertainty, Oncology and Statistical and Nonlinear Physics, having authored 25 papers that have together received 347 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (11 papers), Probabilistic and Robust Engineering Design (7 papers), CAR-T cell therapy research (5 papers), Gene Regulatory Network Analysis (5 papers), Model Reduction and Neural Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Microtubule and mitosis dynamics (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Computational Mathematics (20 citations), Modeling and Simulation (97 citations), Statistics, Probability and Uncertainty (89 citations), Statistical and Nonlinear Physics (77 citations) and Oncology (101 citations). Heyrim Cho has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Daniele Venturi, George Em Karniadakis, Doron Levy, Russell C. Rockne, Themistoklis P. Sapsis, Christine E. Brown, Vikram Adhikarla, Margarita Gutova, Prativa Sahoo and Dongrui Wang. Their work appears in journals such as Mathematical Biosciences & Engineering, Journal of Theoretical Biology, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, SIAM Journal on Scientific Computing and Bulletin of Mathematical Biology.
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.