Heyrim Cho

598 total citations
25 papers, 347 citations indexed

About

Heyrim Cho is a scholar working on Modeling and Simulation, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Heyrim Cho has authored 25 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 7 papers in Molecular Biology and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Heyrim Cho's work include Mathematical Biology Tumor Growth (11 papers), Probabilistic and Robust Engineering Design (7 papers) and CAR-T cell therapy research (5 papers). Heyrim Cho is often cited by papers focused on Mathematical Biology Tumor Growth (11 papers), Probabilistic and Robust Engineering Design (7 papers) and CAR-T cell therapy research (5 papers). Heyrim Cho collaborates with scholars based in United States, Switzerland and Mexico. Heyrim Cho's co-authors include George Em Karniadakis, Daniele Venturi, Doron Levy, Russell C. Rockne, Themistoklis P. Sapsis, Christine E. Brown, Vikram Adhikarla, Margarita Gutova, Prativa Sahoo and Dongrui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Frontiers in Immunology.

In The Last Decade

Heyrim Cho

23 papers receiving 331 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heyrim Cho United States 11 101 97 94 89 77 25 347
Erica M. Rutter United States 12 40 0.4× 130 1.3× 39 0.4× 78 0.9× 28 0.4× 33 396
Alexander S. Bratus Russia 12 31 0.3× 136 1.4× 69 0.7× 62 0.7× 47 0.6× 66 440
Alexander P. Browning Australia 13 64 0.6× 133 1.4× 153 1.6× 18 0.2× 15 0.2× 29 397
Wang Jin Australia 14 51 0.5× 132 1.4× 122 1.3× 8 0.1× 21 0.3× 23 437
David J. Warne Australia 11 19 0.2× 73 0.8× 101 1.1× 28 0.3× 14 0.2× 36 407
Renate Winkler Germany 11 54 0.5× 17 0.2× 83 0.9× 22 0.2× 39 0.5× 26 483
Christian Tönsing Germany 6 28 0.3× 46 0.5× 215 2.3× 26 0.3× 22 0.3× 8 394
Tom Quaiser Germany 9 62 0.6× 58 0.6× 128 1.4× 15 0.2× 5 0.1× 11 284
Qing Guo China 11 7 0.1× 13 0.1× 65 0.7× 126 1.4× 16 0.2× 49 415

Countries citing papers authored by Heyrim Cho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Heyrim Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Heyrim Cho. A scholar is included among the top collaborators of Heyrim Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heyrim Cho. Heyrim Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cho, Heyrim, et al.. (2024). A Mathematical Model of TCR-T Cell Therapy for Cervical Cancer. Bulletin of Mathematical Biology. 86(5). 57–57. 1 indexed citations
2.
Sahoo, Prativa, et al.. (2023). Modeling interaction of Glioma cells and CAR T-cells considering multiple CAR T-cells bindings. SHILAP Revista de lepidopterología. 9. 100022–100022. 10 indexed citations
3.
Adhikarla, Vikram, et al.. (2023). Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables. Frontiers in Immunology. 14. 1115536–1115536. 18 indexed citations
4.
Adhikarla, Vikram, et al.. (2022). Mathematical modeling of therapeutic neural stem cell migration in mouse brain with and without brain tumors. Mathematical Biosciences & Engineering. 19(3). 2592–2615. 4 indexed citations
5.
Cho, Heyrim, et al.. (2022). Designing experimental conditions to use the Lotka–Volterra model to infer tumor cell line interaction types. Journal of Theoretical Biology. 559. 111377–111377. 8 indexed citations
6.
Cho, Heyrim, Ya‐Huei Kuo, & Russell C. Rockne. (2022). Comparison of cell state models derived from single-cell RNA sequencing data: graph versus multi-dimensional space. Mathematical Biosciences & Engineering. 19(8). 8505–8536. 3 indexed citations
7.
Sahoo, Prativa, Xin Yang, Daniel Abler, et al.. (2020). Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data. Journal of The Royal Society Interface. 17(162). 20190734–20190734. 68 indexed citations
8.
Cho, Heyrim, et al.. (2020). Study of dose-dependent combination immunotherapy using engineered T cells and IL-2 in cervical cancer. arXiv (Cornell University). 7 indexed citations
9.
Cho, Heyrim, et al.. (2020). Bayesian Information-Theoretic Calibration of Radiotherapy Sensitivity Parameters for Informing Effective Scanning Protocols in Cancer. Journal of Clinical Medicine. 9(10). 3208–3208. 5 indexed citations
10.
Cho, Heyrim, et al.. (2018). Modelling acute myeloid leukaemia in a continuum of differentiation states. SHILAP Revista de lepidopterología. 5(sup1). S69–S98. 10 indexed citations
11.
Cho, Heyrim & Doron Levy. (2018). The Impact of Competition Between Cancer Cells and Healthy Cells on Optimal Drug Delivery. arXiv (Cornell University). 6 indexed citations
12.
Cho, Heyrim & Doron Levy. (2017). Modeling the Dynamics of Heterogeneity of Solid Tumors in Response to Chemotherapy. Bulletin of Mathematical Biology. 79(12). 2986–3012. 17 indexed citations
13.
Cho, Heyrim & Doron Levy. (2017). Modeling the chemotherapy-induced selection of drug-resistant traits during tumor growth. Journal of Theoretical Biology. 436. 120–134. 26 indexed citations
14.
Cho, Heyrim & Howard C. Elman. (2017). An adaptive reduced basis collocation method based on PCM ANOVA decomposition for anisotropic stochastic PDEs. arXiv (Cornell University). 3 indexed citations
15.
Cho, Heyrim, Xiu Yang, Daniele Venturi, & George Em Karniadakis. (2015). Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM Journal on Scientific Computing. 37(6). A3030–A3054. 5 indexed citations
16.
Cho, Heyrim, Daniele Venturi, & George Em Karniadakis. (2015). Numerical methods for high-dimensional probability density function equations. Journal of Computational Physics. 305. 817–837. 38 indexed citations
17.
Cho, Heyrim, Daniele Venturi, & George Em Karniadakis. (2014). Statistical analysis and simulation of random shocks in stochastic Burgers equation. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 470(2171). 20140080–20140080. 12 indexed citations
18.
Cho, Heyrim, Daniele Venturi, & George Em Karniadakis. (2013). Karhunen–Loève expansion for multi-correlated stochastic processes. Probabilistic Engineering Mechanics. 34. 157–167. 46 indexed citations
19.
Carlson, Thomas A., et al.. (2011). Psychoanatomy of visual attention: a unified account of quadrant and hemifield effects. Journal of Vision. 11(11). 101–101.
20.
Venturi, Daniele, Themistoklis P. Sapsis, Heyrim Cho, & George Em Karniadakis. (2011). A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 468(2139). 759–783. 37 indexed citations

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.

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