Yao-Li Chuang

4.2k total citations · 1 hit paper
28 papers, 1.9k citations indexed

About

Yao-Li Chuang is a scholar working on Oncology, Modeling and Simulation and Aerospace Engineering. According to data from OpenAlex, Yao-Li Chuang has authored 28 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Modeling and Simulation and 5 papers in Aerospace Engineering. Recurrent topics in Yao-Li Chuang's work include Mathematical Biology Tumor Growth (9 papers), Cancer Cells and Metastasis (8 papers) and Nanoparticle-Based Drug Delivery (4 papers). Yao-Li Chuang is often cited by papers focused on Mathematical Biology Tumor Growth (9 papers), Cancer Cells and Metastasis (8 papers) and Nanoparticle-Based Drug Delivery (4 papers). Yao-Li Chuang collaborates with scholars based in United States, Saudi Arabia and Italy. Yao-Li Chuang's co-authors include Andrea L. Bertozzi, Maria R. D’Orsogna, Vittorio Cristini, Hermann B. Frieboes, Fang Jin, Steven M. Wise, John Lowengrub, Paul Macklin, X. Li and Daniel Marthaler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Yao-Li Chuang

28 papers receiving 1.8k citations

Hit Papers

Self-Propelled Particles with Soft-Core Interactions: Pat... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao-Li Chuang United States 16 823 409 359 326 323 28 1.9k
Juan Soler Spain 27 763 0.9× 373 0.9× 222 0.6× 207 0.6× 76 0.2× 92 2.2k
Anna Marciniak‐Czochra Germany 29 716 0.9× 870 2.1× 269 0.7× 340 1.0× 341 1.1× 105 2.4k
Haralampos Hatzikirou Germany 23 754 0.9× 520 1.3× 48 0.1× 411 1.3× 360 1.1× 69 1.8k
Steven M. Wise United States 45 1.5k 1.8× 400 1.0× 129 0.4× 620 1.9× 468 1.4× 104 6.7k
Wolfgang Alt Germany 34 453 0.6× 503 1.2× 71 0.2× 515 1.6× 74 0.2× 102 4.2k
Anotida Madzvamuse United Kingdom 24 301 0.4× 372 0.9× 590 1.6× 332 1.0× 47 0.1× 84 1.8k
Radek Erban United Kingdom 26 557 0.7× 1.3k 3.1× 335 0.9× 202 0.6× 36 0.1× 71 2.2k
Raluca Eftimie United Kingdom 20 755 0.9× 817 2.0× 102 0.3× 223 0.7× 407 1.3× 81 1.9k
Mary R. Myerscough Australia 25 399 0.5× 384 0.9× 145 0.4× 190 0.6× 62 0.2× 58 2.4k
Luis Cisneros United States 12 552 0.7× 561 1.4× 136 0.4× 346 1.1× 63 0.2× 20 2.4k

Countries citing papers authored by Yao-Li Chuang

Since Specialization
Citations

This map shows the geographic impact of Yao-Li Chuang'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 Yao-Li Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao-Li Chuang more than expected).

Fields of papers citing papers by Yao-Li Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao-Li Chuang. 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 Yao-Li Chuang. The network helps show where Yao-Li Chuang may publish in the future.

Co-authorship network of co-authors of Yao-Li Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Yao-Li Chuang. A scholar is included among the top collaborators of Yao-Li Chuang 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 Yao-Li Chuang. Yao-Li Chuang 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.
Dogra, Prashant, Joseph D. Butner, Javier Ruiz-Ramírez, et al.. (2020). A mathematical model to predict nanomedicine pharmacokinetics and tumor delivery. Computational and Structural Biotechnology Journal. 18. 518–531. 66 indexed citations
2.
Chuang, Yao-Li, et al.. (2019). A Mathematical Model of the Effects of Aging on Naive T Cell Populations and Diversity. Bulletin of Mathematical Biology. 81(7). 2783–2817. 10 indexed citations
3.
Chuang, Yao-Li, et al.. (2019). Dynamics of T cell receptor distributions following acute thymic atrophy and resumption. Mathematical Biosciences & Engineering. 17(1). 28–55. 2 indexed citations
4.
Dogra, Prashant, Yao-Li Chuang, Joseph D. Butner, Vittorio Cristini, & Zhihui Wang. (2019). Development of a Physiologically-Based Mathematical Model for Quantifying Nanoparticle Distribution in Tumors. PubMed. 13. 2852–2855. 3 indexed citations
5.
Muñoz, Francesc Xavier, David J. Galbreath, William A. Mitch, et al.. (2017). Direct Potable Reuse: NDMA Control Strategies. Proceedings of the Water Environment Federation. 2017(4). 5840–5853. 2 indexed citations
6.
Wang, Zhihui, Romica Kerketta, Yao-Li Chuang, et al.. (2016). Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill. PLoS Computational Biology. 12(6). e1004969–e1004969. 45 indexed citations
7.
Butner, Joseph D., Yao-Li Chuang, A. S. Al-Fhaid, et al.. (2016). A hybrid agent-based model of the developing mammary terminal end bud. Journal of Theoretical Biology. 407. 259–270. 10 indexed citations
8.
Chuang, Yao-Li, Tom Chou, & Maria R. D’Orsogna. (2016). Swarming in viscous fluids: Three-dimensional patterns in swimmer- and force-induced flows. Physical review. E. 93(4). 43112–43112. 17 indexed citations
9.
Dogra, Prashant, et al.. (2014). Understanding Drug Resistance in Breast Cancer with Mathematical Oncology. Current Breast Cancer Reports. 6(2). 110–120. 27 indexed citations
10.
Frieboes, Hermann B., Bryan Ronain Smith, Yao-Li Chuang, et al.. (2013). An Integrated Computational/Experimental Model of Lymphoma Growth. PLoS Computational Biology. 9(3). e1003008–e1003008. 28 indexed citations
11.
Chen, Kuan‐Neng, et al.. (2012). A Flexible pH-Sensing Structure Using WO3/IrO2 Junction with Al2O3 Encapsulation Layer. ECS Solid State Letters. 2(3). P28–P30. 12 indexed citations
12.
Edgerton, Mary E., Yao-Li Chuang, Paul Macklin, et al.. (2011). A novel, patient-specific mathematical pathology approach for assessment of surgical volume: application to ductal carcinoma in situ of the breast.. SHILAP Revista de lepidopterología. 34(5). 247–63. 32 indexed citations
13.
Frieboes, Hermann B., Fang Jin, Yao-Li Chuang, et al.. (2010). Three-dimensional multispecies nonlinear tumor growth—II: Tumor invasion and angiogenesis. Journal of Theoretical Biology. 264(4). 1254–1278. 159 indexed citations
14.
Bearer, Elaine L., John Lowengrub, Hermann B. Frieboes, et al.. (2009). Multiparameter Computational Modeling of Tumor Invasion. Cancer Research. 69(10). 4493–4501. 98 indexed citations
15.
Lowengrub, John, Hermann B. Frieboes, Fang Jin, et al.. (2009). Nonlinear modelling of cancer: bridging the gap between cells and tumours. Nonlinearity. 23(1). R1–R91. 383 indexed citations
16.
Chuang, Yao-Li, et al.. (2007). Multi-Vehicle Flocking: Scalability of Cooperative Control Algorithms using Pairwise Potentials. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 2292–2299. 97 indexed citations
17.
Chuang, Yao-Li, et al.. (2007). State transitions and the continuum limit for a 2D interacting, self-propelled particle system. Physica D Nonlinear Phenomena. 232(1). 33–47. 176 indexed citations
18.
Hsieh, C.H., et al.. (2006). An economical micro-car testbed for validation of cooperative control strategies. 6 pp.–6 pp.. 10 indexed citations
19.
D’Orsogna, Maria R., et al.. (2006). Self-Propelled Particles with Soft-Core Interactions: Patterns, Stability, and Collapse. Physical Review Letters. 96(10). 104302–104302. 419 indexed citations breakdown →
20.
Huang, M., et al.. (2001). Particle Trajectory Tracing in the Geomagnetic Field. Chinese Journal of Physics. 39(1). 1–11. 4 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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