Ruiqi Wang

1.1k total citations
61 papers, 718 citations indexed

About

Ruiqi Wang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ruiqi Wang has authored 61 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 17 papers in Statistical and Nonlinear Physics and 11 papers in Computer Networks and Communications. Recurrent topics in Ruiqi Wang's work include Gene Regulatory Network Analysis (35 papers), stochastic dynamics and bifurcation (10 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Ruiqi Wang is often cited by papers focused on Gene Regulatory Network Analysis (35 papers), stochastic dynamics and bifurcation (10 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Ruiqi Wang collaborates with scholars based in China and Japan. Ruiqi Wang's co-authors include Luonan Chen, Kazuyuki Aihara, Zengrong Liu, Tianshou Zhou, Chunguang Li, Chun Guang Li, Tetsuya J. Kobayashi, Peipei Zhou, Kaihui Liu and Shanshan Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Ruiqi Wang

58 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiqi Wang China 16 483 194 142 98 48 61 718
William Ott United States 15 383 0.8× 165 0.9× 90 0.6× 121 1.2× 21 0.4× 40 737
Minping Qian China 18 571 1.2× 341 1.8× 51 0.4× 147 1.5× 52 1.1× 77 1.1k
Tamara Mihaljev Switzerland 7 281 0.6× 177 0.9× 54 0.4× 50 0.5× 50 1.0× 12 446
Thomas Mestl Norway 9 474 1.0× 91 0.5× 79 0.6× 178 1.8× 30 0.6× 10 582
Giuseppe Facchetti Italy 8 265 0.5× 207 1.1× 80 0.6× 60 0.6× 33 0.7× 14 615
Tianshou Zhou China 13 228 0.5× 168 0.9× 101 0.7× 76 0.8× 10 0.2× 37 401
Madalena Chaves France 17 897 1.9× 68 0.4× 95 0.7× 161 1.6× 131 2.7× 63 1.1k
Sandip Kar India 12 286 0.6× 152 0.8× 148 1.0× 45 0.5× 12 0.3× 36 506
Evgeni V. Nikolaev United States 13 587 1.2× 130 0.7× 157 1.1× 95 1.0× 30 0.6× 28 902
Anael Verdugo United States 8 256 0.5× 67 0.3× 65 0.5× 67 0.7× 18 0.4× 14 396

Countries citing papers authored by Ruiqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruiqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiqi Wang. A scholar is included among the top collaborators of Ruiqi Wang 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 Ruiqi Wang. Ruiqi Wang 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.
Lu, Xiaoqi, et al.. (2025). Combinatorial perturbation analysis of CD4+ T cell regulatory networks based on bifurcation theory. Advances in Continuous and Discrete Models. 2025(1). 1 indexed citations
2.
Wang, Pan, Ruiqi Wang, Wenting Zhao, et al.. (2024). Gut microbiota-derived 4-hydroxyphenylacetic acid from resveratrol supplementation prevents obesity through SIRT1 signaling activation. Gut Microbes. 17(1). 2446391–2446391. 19 indexed citations
3.
He, Xinyu, et al.. (2023). Constructing maps between distinct cell fates and parametric conditions by systematic perturbations. Bioinformatics. 39(10). 1 indexed citations
4.
Wang, Ruiqi, et al.. (2021). Exploring the mechanism of pancreatic cell fate decisions via cell-cell communication. Mathematical Biosciences & Engineering. 18(3). 2401–2424. 2 indexed citations
5.
Wang, Ruiqi, et al.. (2021). Detection of Synergistic Combinatorial Perturbations by a Bifurcation-Based Approach. International Journal of Bifurcation and Chaos. 31(12). 2150175–2150175. 5 indexed citations
6.
Wang, Ruiqi, et al.. (2021). N-soliton solutions for the Maxwell–Bloch equations via the Riemann–Hilbert approach. Modern Physics Letters B. 35(21). 2150356–2150356. 6 indexed citations
7.
Ge, Zhen & Ruiqi Wang. (2020). Fate decisions mediated by crosstalk of autophagy and apoptosis in mammalian cells. Journal of Biological Physics. 46(2). 133–149. 1 indexed citations
8.
Shi, Xiaofei & Ruiqi Wang. (2017). Glioma cell fate decisions mediated by Dll1-Jag1-Fringe in Notch1 signaling pathway. BMC Systems Biology. 11(S4). 84–84. 5 indexed citations
9.
Liu, Yanwei, Zengrong Liu, & Ruiqi Wang. (2016). Bogdanov–Takens bifurcation with codimension three of a predator–prey system suffering the additive Allee effect. International Journal of Biomathematics. 10(3). 1750044–1750044. 11 indexed citations
10.
Li, Shanshan, Yanwei Liu, Zengrong Liu, & Ruiqi Wang. (2015). Neural fate decisions mediated by combinatorial regulation of Hes1 and miR-9. Journal of Biological Physics. 42(1). 53–68. 7 indexed citations
11.
Li, Shanshan, et al.. (2015). High codimensional bifurcation analysis to a six-neuron BAM neural network. Cognitive Neurodynamics. 10(2). 149–164. 11 indexed citations
12.
Zhang, Zhiyong, et al.. (2013). MicroRNA-Mediated Regulation in Biological Systems with Oscillatory Behavior. BioMed Research International. 2013. 1–7. 3 indexed citations
13.
Wang, Ruiqi, Kaihui Liu, Luonan Chen, & Kazuyuki Aihara. (2011). Neural fate decisions mediated by trans-activation and cis-inhibition in Notch signaling. Bioinformatics. 27(22). 3158–3165. 34 indexed citations
14.
Chen, Luonan, Ruiqi Wang, & Kazuyuki Aihara. (2009). Stochastic Hybrid System for Chemical Master Equation. PLoS Computational Biology. 17(1). e1008486–e1008486. 1 indexed citations
15.
Liu, Zengrong, et al.. (2009). How divergence mechanisms influence disassortative mixing property in biology. Physica A Statistical Mechanics and its Applications. 389(3). 643–650. 5 indexed citations
16.
Chang, Xiao, et al.. (2008). Effects of multiple parameter variations on biological system behaviors. 23(43). 24607–24616.
17.
Wang, Ruiqi, Luonan Chen, & Kazuyuki Aihara. (2007). Detection of cellular rhythms and global stability within interlocked feedback systems. Mathematical Biosciences. 209(1). 171–189. 16 indexed citations
18.
Zhou, Tianshou, Luonan Chen, & Ruiqi Wang. (2005). A mechanism of synchronization in interacting multi-cell genetic systems. Physica D Nonlinear Phenomena. 211(1-2). 107–127. 15 indexed citations
19.
Wang, Ruiqi, Zhujun Jing, & Luonan Chen. (2004). Periodic oscillators in genetic networks with negative feedback loops. International Conference on Applied Mathematics. 29. 5 indexed citations
20.
Chen, Luonan, Ruiqi Wang, & Kazuyuki Aihara. (2003). Genetic Networks with Stochastic Fluctuations. Proceedings Genome Informatics Workshop/Genome informatics. 14. 356–357. 2 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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