Ruoshi Yuan

1.2k total citations
31 papers, 414 citations indexed

About

Ruoshi Yuan is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ruoshi Yuan has authored 31 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Statistical and Nonlinear Physics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ruoshi Yuan's work include Advanced Thermodynamics and Statistical Mechanics (13 papers), Gene Regulatory Network Analysis (13 papers) and stochastic dynamics and bifurcation (7 papers). Ruoshi Yuan is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (13 papers), Gene Regulatory Network Analysis (13 papers) and stochastic dynamics and bifurcation (7 papers). Ruoshi Yuan collaborates with scholars based in China and United States. Ruoshi Yuan's co-authors include Ping Ao, Ying Tang, Xiaomei Zhu, Yi-An Ma, Bo Yuan, Gaowei Wang, Site Li, Leroy Hood, Jianghong Shi and Junqiang Wang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Scientific Reports.

In The Last Decade

Ruoshi Yuan

31 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruoshi Yuan China 14 229 143 38 35 31 31 414
Sandip Kar India 12 286 1.2× 152 1.1× 35 0.9× 41 1.2× 45 1.5× 36 506
Rui Dilão Portugal 12 193 0.8× 142 1.0× 39 1.0× 16 0.5× 50 1.6× 47 579
Masa Tsuchiya Japan 15 336 1.5× 49 0.3× 13 0.3× 28 0.8× 77 2.5× 27 613
Sayan Mukherjee India 13 115 0.5× 176 1.2× 15 0.4× 91 2.6× 33 1.1× 43 422
Ronny Straube Germany 14 515 2.2× 145 1.0× 31 0.8× 22 0.6× 47 1.5× 31 664
Yann Lanoiselée France 11 268 1.2× 119 0.8× 29 0.8× 61 1.7× 15 0.5× 17 434
Lan Yin China 12 306 1.3× 73 0.5× 21 0.6× 11 0.3× 80 2.6× 20 501
Andrea De Martino Italy 17 568 2.5× 182 1.3× 14 0.4× 9 0.3× 84 2.7× 57 956
Anael Verdugo United States 8 256 1.1× 67 0.5× 13 0.3× 33 0.9× 67 2.2× 14 396
Marie Doumic France 15 262 1.1× 70 0.5× 14 0.4× 131 3.7× 69 2.2× 47 679

Countries citing papers authored by Ruoshi Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ruoshi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoshi Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoshi Yuan. A scholar is included among the top collaborators of Ruoshi Yuan 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 Ruoshi Yuan. Ruoshi Yuan 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.
Wang, Junqiang, et al.. (2021). The complex landscape of haematopoietic lineage commitments is encoded in the coarse-grained endogenous network. Royal Society Open Science. 8(11). 211289–211289. 2 indexed citations
2.
Kuo, James, Ruoshi Yuan, Carlos Martínez Sánchez, Johan Paulsson, & Pamela A. Silver. (2020). Toward a translationally independent RNA-based synthetic oscillator using deactivated CRISPR-Cas. Nucleic Acids Research. 48(14). 8165–8177. 22 indexed citations
3.
Wang, Junqiang, Ruoshi Yuan, Xiaomei Zhu, & Ping Ao. (2020). Adaptive Landscape Shaped by Core Endogenous Network Coordinates Complex Early Progenitor Fate Commitments in Embryonic Pancreas. Scientific Reports. 10(1). 1112–1112. 9 indexed citations
4.
Zhu, Xiaomei, Xingxing Zhang, Ruoshi Yuan, et al.. (2019). Dynamical modelling of secondary metabolism and metabolic switches in Streptomyces xiamenensis 318. Royal Society Open Science. 6(4). 190418–190418. 5 indexed citations
5.
Yuan, Ruoshi, Suzhan Zhang, Jiekai Yu, et al.. (2017). Beyond cancer genes: colorectal cancer as robust intrinsic states formed by molecular interactions. Open Biology. 7(11). 10 indexed citations
6.
Yuan, Ruoshi, Xiaomei Zhu, Gaowei Wang, Site Li, & Ping Ao. (2017). Cancer as robust intrinsic state shaped by evolution: a key issues review. Reports on Progress in Physics. 80(4). 42701–42701. 47 indexed citations
7.
Tang, Ying, Ruoshi Yuan, Gaowei Wang, Xiaomei Zhu, & Ping Ao. (2017). Potential landscape of high dimensional nonlinear stochastic dynamics with large noise. Scientific Reports. 7(1). 15762–15762. 23 indexed citations
8.
Wang, Gaowei, Ruoshi Yuan, Xiaomei Zhu, & Ping Ao. (2017). Endogenous Molecular-Cellular Network Cancer Theory: A Systems Biology Approach. Methods in molecular biology. 1702. 215–245. 4 indexed citations
9.
Yuan, Ruoshi, Xiaomei Zhu, Jerald P. Radich, & Ping Ao. (2016). From molecular interaction to acute promyelocytic leukemia: Calculating leukemogenesis and remission from endogenous molecular-cellular network. Scientific Reports. 6(1). 24307–24307. 18 indexed citations
10.
Yuan, Ruoshi, et al.. (2016). Towards stable kinetics of large metabolic networks: Nonequilibrium potential function approach. Physical review. E. 93(6). 62409–62409. 6 indexed citations
11.
Yuan, Ruoshi, Ying Tang, & Ping Ao. (2016). Comment on “Construction of the landscape for multi-stable systems: Potential landscape, quasi-potential, A-type integral and beyond” [J. Chem. Phys. 144, 094109 (2016)]. The Journal of Chemical Physics. 145(14). 147104–147104. 4 indexed citations
12.
Tang, Ying, Ruoshi Yuan, & Ping Ao. (2015). Anomalous free energy changes induced by topology. Physical Review E. 92(6). 62129–62129. 7 indexed citations
13.
Tang, Ying, et al.. (2015). Work relations connecting nonequilibrium steady states without detailed balance. Physical Review E. 91(4). 42108–42108. 13 indexed citations
14.
Zhu, Xiaomei, Ruoshi Yuan, Leroy Hood, & Ping Ao. (2015). Endogenous molecular-cellular hierarchical modeling of prostate carcinogenesis uncovers robust structure. Progress in Biophysics and Molecular Biology. 117(1). 30–42. 21 indexed citations
15.
Hu, Jie, Xiaomei Zhu, Xinan Wang, et al.. (2014). Two programmed replicative lifespans of Saccharomyces cerevisiae formed by the endogenous molecular-cellular network. Journal of Theoretical Biology. 362. 69–74. 3 indexed citations
16.
Tang, Ying, Ruoshi Yuan, & Ping Ao. (2014). Nonequilibrium work relation beyond the Boltzmann-Gibbs distribution. Physical Review E. 89(6). 62112–62112. 10 indexed citations
17.
Tang, Ying, Ruoshi Yuan, & Yi-An Ma. (2013). Dynamical behaviors determined by the Lyapunov function in competitive Lotka-Volterra systems. Physical Review E. 87(1). 12708–12708. 25 indexed citations
18.
Yuan, Ruoshi, Xinan Wang, Yi-An Ma, Bo Yuan, & Ping Ao. (2013). Exploring a noisy van der Pol type oscillator with a stochastic approach. Physical Review E. 87(6). 62109–62109. 25 indexed citations
19.
Yuan, Ruoshi, Yi-An Ma, Bo Yuan, & Ping Ao. (2011). Potential function in dynamical systems and the relation with Lyapunov function. Chinese Control Conference. 6573–6580. 5 indexed citations
20.
Sun, Tingzhe, Ruoshi Yuan, Wei Xu, Feng Zhu, & Pingping Shen. (2010). Exploring a minimal two-component p53 model. Physical Biology. 7(3). 36008–36008. 11 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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