Shangying Wang

715 total citations
14 papers, 420 citations indexed

About

Shangying Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Shangying Wang has authored 14 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Biophysics. Recurrent topics in Shangying Wang's work include Cell Image Analysis Techniques (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Computational Drug Discovery Methods (2 papers). Shangying Wang is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Computational Drug Discovery Methods (2 papers). Shangying Wang collaborates with scholars based in United States and China. Shangying Wang's co-authors include Lingchong You, Nan Luo, Sara Capponi, Hannah R. Meredith, Anna J. Lee, Zhuojun Dai, Yuanchi Ha, Simone Bianco, Andrea Weiss and Feilun Wu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shangying Wang

14 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangying Wang United States 9 220 86 79 66 61 14 420
Antonio L. C. Gomes United States 14 484 2.2× 121 1.4× 69 0.9× 54 0.8× 31 0.5× 31 691
Phu Nguyen Le Minh Belgium 10 366 1.7× 128 1.5× 22 0.3× 55 0.8× 58 1.0× 11 474
Matthew G. Durrant United States 11 460 2.1× 116 1.3× 21 0.3× 19 0.3× 60 1.0× 16 674
Arvi Jõers Estonia 10 361 1.6× 316 3.7× 31 0.4× 31 0.5× 158 2.6× 15 600
Alessandra Vitale Italy 9 191 0.9× 60 0.7× 59 0.7× 13 0.2× 51 0.8× 18 392
Yunfan Fan United States 9 318 1.4× 58 0.7× 62 0.8× 14 0.2× 94 1.5× 20 499
Kumari Sonal Choudhary United States 12 476 2.2× 179 2.1× 45 0.6× 35 0.5× 40 0.7× 16 573
Basile Schaeli Switzerland 4 279 1.3× 54 0.6× 20 0.3× 21 0.3× 18 0.3× 8 458
Nikola Ojkic United States 13 335 1.5× 195 2.3× 34 0.4× 8 0.1× 57 0.9× 17 540
Jonathan Diver United Kingdom 9 229 1.0× 87 1.0× 62 0.8× 19 0.3× 240 3.9× 14 479

Countries citing papers authored by Shangying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shangying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shangying Wang. A scholar is included among the top collaborators of Shangying 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 Shangying Wang. Shangying Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Shi, Jie, et al.. (2024). ML-enhanced peroxisome capacity enables compartmentalization of multienzyme pathway. Nature Chemical Biology. 21(5). 727–735. 14 indexed citations
2.
Capponi, Sara & Shangying Wang. (2024). AI in cellular engineering and reprogramming. Biophysical Journal. 123(17). 2658–2670. 7 indexed citations
3.
Wang, Shangying, Sara Capponi, & Simone Bianco. (2022). Inferring Conditional Probability Distributions of Noisy Gene Expression from Limited Observations by Deep Learning. 1(6). 504–513. 2 indexed citations
4.
Lu, Jia Grace, Ryan Tsoi, Nan Luo, et al.. (2022). Distributed information encoding and decoding using self-organized spatial patterns. Patterns. 3(10). 100590–100590. 2 indexed citations
5.
Yao, Yi, Rohan Maddamsetti, Andrea Weiss, et al.. (2022). Intra- and interpopulation transposition of mobile genetic elements driven by antibiotic selection. Nature Ecology & Evolution. 6(5). 555–564. 63 indexed citations
6.
Wu, Feilun, Yuanchi Ha, Andrea Weiss, et al.. (2022). Modulation of microbial community dynamics by spatial partitioning. Nature Chemical Biology. 18(4). 394–402. 40 indexed citations
7.
Daniels, Kyle G., Shangying Wang, Milos Simic, et al.. (2022). Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning. Science. 378(6625). 1194–1200. 78 indexed citations
8.
Luo, Nan, et al.. (2021). Collective colony growth is optimized by branching pattern formation in Pseudomonas aeruginosa. Molecular Systems Biology. 17(4). e10089–e10089. 18 indexed citations
9.
Capponi, Sara, et al.. (2021). AI-driven prediction of SARS-CoV-2 variant binding trends from atomistic simulations. The European Physical Journal E. 44(10). 123–123. 5 indexed citations
10.
Wang, Shangying & Simone Bianco. (2021). Linking the length scales. Nature Machine Intelligence. 3(5). 374–375. 1 indexed citations
11.
Wang, Shangying, Kai Fan, Nan Luo, et al.. (2019). Massive computational acceleration by using neural networks to emulate mechanism-based biological models. Nature Communications. 10(1). 4354–4354. 60 indexed citations
12.
Luo, Nan, Shangying Wang, & Lingchong You. (2019). Synthetic Pattern Formation. Biochemistry. 58(11). 1478–1483. 23 indexed citations
13.
Lee, Anna J., et al.. (2018). Robust, linear correlations between growth rates and β-lactam–mediated lysis rates. Proceedings of the National Academy of Sciences. 115(16). 4069–4074. 92 indexed citations
14.
Wang, Shangying & Sridhar Raghavachari. (2011). Quantifying negative feedback regulation by micro-RNAs. Physical Biology. 8(5). 55002–55002. 15 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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