Chuan Xue

1.0k total citations
20 papers, 708 citations indexed

About

Chuan Xue is a scholar working on Modeling and Simulation, Molecular Biology and Cell Biology. According to data from OpenAlex, Chuan Xue has authored 20 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 10 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Chuan Xue's work include Mathematical Biology Tumor Growth (11 papers), Gene Regulatory Network Analysis (7 papers) and Cellular Mechanics and Interactions (6 papers). Chuan Xue is often cited by papers focused on Mathematical Biology Tumor Growth (11 papers), Gene Regulatory Network Analysis (7 papers) and Cellular Mechanics and Interactions (6 papers). Chuan Xue collaborates with scholars based in United States, United Kingdom and China. Chuan Xue's co-authors include Hans G. Othmer, Avner Friedman, Chandan K. Sen, Tong Li, Michael Winkler, Yoram Louzoun, Gregory B. Lesinski, Bei Hu, Radek Erban and Kevin J. Painter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Journal of Theoretical Biology.

In The Last Decade

Chuan Xue

20 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuan Xue United States 13 465 334 246 107 82 20 708
P. K. Maini United Kingdom 13 210 0.5× 199 0.6× 141 0.6× 64 0.6× 46 0.6× 30 592
Philip J. Murray United Kingdom 15 125 0.3× 450 1.3× 294 1.2× 107 1.0× 113 1.4× 24 952
Dumitru Trucu United Kingdom 13 270 0.6× 164 0.5× 139 0.6× 53 0.5× 142 1.7× 27 469
M.J. Vilela Brazil 12 220 0.5× 253 0.8× 141 0.6× 48 0.4× 83 1.0× 19 542
Georgios Lolas Greece 10 547 1.2× 252 0.8× 323 1.3× 72 0.7× 262 3.2× 15 750
Zuzanna Szymańska Poland 11 470 1.0× 280 0.8× 230 0.9× 49 0.5× 154 1.9× 28 627
Parvathi Haridas Australia 8 120 0.3× 114 0.3× 71 0.3× 65 0.6× 45 0.5× 11 290
Wing-Cheong Lo Hong Kong 13 99 0.2× 405 1.2× 184 0.7× 40 0.4× 84 1.0× 42 624
Stefan Höhme Germany 3 247 0.5× 122 0.4× 224 0.9× 115 1.1× 117 1.4× 4 440
Xinru Cao China 12 800 1.7× 503 1.5× 381 1.5× 57 0.5× 104 1.3× 25 827

Countries citing papers authored by Chuan Xue

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuan Xue. 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 Chuan Xue. The network helps show where Chuan Xue may publish in the future.

Co-authorship network of co-authors of Chuan Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Xue. A scholar is included among the top collaborators of Chuan Xue 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 Chuan Xue. Chuan Xue 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.
Hao, Wenrui & Chuan Xue. (2020). Spatial pattern formation in reaction–diffusion models: a computational approach. Journal of Mathematical Biology. 80(1-2). 521–543. 22 indexed citations
2.
Xue, Chuan, et al.. (2018). The role of intracellular signaling in the stripe formation in engineered Escherichia coli populations. PLoS Computational Biology. 14(6). e1006178–e1006178. 10 indexed citations
3.
Lai, Xiulan, Anthony Brown, & Chuan Xue. (2018). A stochastic model that explains axonal organelle pileups induced by a reduction of molecular motors. Journal of The Royal Society Interface. 15(148). 20180430–20180430. 7 indexed citations
4.
Xue, Chuan, et al.. (2016). Moment-flux models for bacterial chemotaxis in large signal gradients. Journal of Mathematical Biology. 73(4). 977–1000. 6 indexed citations
5.
Xue, Chuan, Elena O. Budrene, & Hans G. Othmer. (2016). Radial and Spiral Stream Formation in <i>Proteus mirabilis</i> Colonies. arXiv (Cornell University). 18 indexed citations
6.
Xue, Chuan, et al.. (2015). A Stochastic Multiscale Model That Explains the Segregation of Axonal Microtubules and Neurofilaments in Neurological Diseases. PLoS Computational Biology. 11(8). e1004406–e1004406. 23 indexed citations
7.
Louzoun, Yoram, Chuan Xue, Gregory B. Lesinski, & Avner Friedman. (2014). A mathematical model for pancreatic cancer growth and treatments. Journal of Theoretical Biology. 351. 74–82. 87 indexed citations
8.
Li, Tong, et al.. (2014). Global small-data solutions of a two-dimensional chemotaxis system with rotational flux terms. Mathematical Models and Methods in Applied Sciences. 25(4). 721–746. 93 indexed citations
9.
Friedman, Avner, Bei Hu, & Chuan Xue. (2013). On a Multiphase Multicomponent Model of Biofilm Growth. Archive for Rational Mechanics and Analysis. 211(1). 257–300. 10 indexed citations
10.
Xue, Chuan. (2013). Macroscopic equations for bacterial chemotaxis: integration of detailed biochemistry of cell signaling. Journal of Mathematical Biology. 70(1-2). 1–44. 70 indexed citations
11.
Franz, Benjamin, Chuan Xue, Kevin J. Painter, & Radek Erban. (2013). Travelling Waves in Hybrid Chemotaxis Models. Bulletin of Mathematical Biology. 76(2). 377–400. 21 indexed citations
12.
Othmer, Hans G., et al.. (2013). Excitation and Adaptation in Bacteria–a Model Signal Transduction System that Controls Taxis and Spatial Pattern Formation. International Journal of Molecular Sciences. 14(5). 9205–9248. 16 indexed citations
13.
Friedman, Avner, Bei Hu, & Chuan Xue. (2012). A three dimensional model of wound healing: Analysis and computation. Discrete and Continuous Dynamical Systems - B. 17(8). 2691–2712. 12 indexed citations
14.
Friedman, Avner, et al.. (2011). A mathematical model for chronic wounds. Mathematical Biosciences & Engineering. 8(2). 253–261. 17 indexed citations
15.
Xue, Chuan, Ching‐Shan Chou, Chiu‐Yen Kao, Chandan K. Sen, & Avner Friedman. (2011). Propagation of cutaneous thermal injury: A mathematical model. Wound Repair and Regeneration. 20(1). 114–122. 12 indexed citations
16.
Xue, Chuan, Hyung Ju Hwang, Kevin J. Painter, & Radek Erban. (2010). Travelling Waves in Hyperbolic Chemotaxis Equations. Bulletin of Mathematical Biology. 73(8). 1695–1733. 29 indexed citations
17.
Friedman, Avner, Bei Hu, & Chuan Xue. (2010). Analysis of a Mathematical Model of Ischemic Cutaneous Wounds. SIAM Journal on Mathematical Analysis. 42(5). 2013–2040. 19 indexed citations
18.
Xue, Chuan & Hans G. Othmer. (2009). Multiscale Models of Taxis-Driven Patterning in Bacterial Populations. SIAM Journal on Applied Mathematics. 70(1). 133–167. 139 indexed citations
19.
Xue, Chuan, Avner Friedman, & Chandan K. Sen. (2009). A mathematical model of ischemic cutaneous wounds. Proceedings of the National Academy of Sciences. 106(39). 16782–16787. 90 indexed citations
20.
Xue, Chuan, Hans G. Othmer, Radek Erban, Robert Sinclair, & Klaus M. Stiefel. (2009). From Individual to Collective Behavior of Unicellular Organisms: Recent Results and Open Problems. AIP conference proceedings. 3–14. 7 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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