Siqin Cao

1.1k total citations
32 papers, 703 citations indexed

About

Siqin Cao is a scholar working on Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Siqin Cao has authored 32 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Spectroscopy and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Siqin Cao's work include Protein Structure and Dynamics (15 papers), Mass Spectrometry Techniques and Applications (8 papers) and Spectroscopy and Quantum Chemical Studies (7 papers). Siqin Cao is often cited by papers focused on Protein Structure and Dynamics (15 papers), Mass Spectrometry Techniques and Applications (8 papers) and Spectroscopy and Quantum Chemical Studies (7 papers). Siqin Cao collaborates with scholars based in China, Hong Kong and United States. Siqin Cao's co-authors include Xuhui Huang, Wei Wang, Lizhe Zhu, Ilona Christy Unarta, Xiaoyan Zheng, Guanghong Wei, Qian Peng, Ben Zhong Tang, Andrés Montoya−Castillo and Peter Pak‐Hang Cheung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Siqin Cao

30 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siqin Cao China 14 407 204 118 110 86 32 703
Lizhe Zhu China 18 615 1.5× 252 1.2× 124 1.1× 66 0.6× 83 1.0× 48 967
Giulio Tesei Denmark 17 879 2.2× 218 1.1× 66 0.6× 73 0.7× 61 0.7× 34 1.2k
Shashank Pant United States 16 453 1.1× 110 0.5× 77 0.7× 57 0.5× 126 1.5× 30 753
Srinivasa M. Gopal Germany 12 677 1.7× 292 1.4× 49 0.4× 134 1.2× 54 0.6× 23 886
Carolyn A. Fitch United States 13 972 2.4× 317 1.6× 151 1.3× 192 1.7× 101 1.2× 16 1.2k
Maxim S. Pometun United States 11 383 0.9× 206 1.0× 175 1.5× 165 1.5× 121 1.4× 12 725
Santi Esteban-Martín Spain 15 883 2.2× 153 0.8× 176 1.5× 102 0.9× 57 0.7× 16 986
Andrea Sottini Switzerland 9 805 2.0× 227 1.1× 96 0.8× 52 0.5× 49 0.6× 14 989
Parbati Biswas India 21 663 1.6× 368 1.8× 76 0.6× 200 1.8× 244 2.8× 87 1.4k
Tyler Luchko United States 17 694 1.7× 186 0.9× 82 0.7× 277 2.5× 96 1.1× 28 1.1k

Countries citing papers authored by Siqin Cao

Since Specialization
Citations

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

Fields of papers citing papers by Siqin Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siqin Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Siqin Cao. A scholar is included among the top collaborators of Siqin Cao 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 Siqin Cao. Siqin Cao 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.
Liu, Bojun, et al.. (2025). Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics. Nature Computational Science. 5(7). 562–571. 2 indexed citations
2.
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Cao, Siqin, et al.. (2023). Memory Unlocks the Future of Biomolecular Dynamics: Transformative Tools to Uncover Physical Insights Accurately and Efficiently. Journal of the American Chemical Society. 145(18). 9916–9927. 17 indexed citations
5.
Liu, Bojun, et al.. (2023). Kinetic network models to elucidate aggregation dynamics of aggregation‐induced emission systems. SHILAP Revista de lepidopterología. 5(1). 7 indexed citations
6.
Cao, Siqin, et al.. (2023). Integrative generalized master equation: A method to study long-timescale biomolecular dynamics via the integrals of memory kernels. The Journal of Chemical Physics. 159(13). 18 indexed citations
7.
Cao, Siqin, et al.. (2023). EPISOL : A software package with expanded functions to perform 3D‐RISM calculations for the solvation of chemical and biological molecules. Journal of Computational Chemistry. 44(17). 1536–1549. 4 indexed citations
8.
Zheng, Xiaoyan, Michael Ho‐Yeung Chan, Alan Kwun‐Wa Chan, et al.. (2022). Elucidation of the key role of Pt···Pt interactions in the directional self-assembly of platinum(II) complexes. Proceedings of the National Academy of Sciences. 119(12). e2116543119–e2116543119. 54 indexed citations
9.
Cao, Siqin, et al.. (2022). The Ion-Dipole Correction of the 3DRISM Solvation Model to Accurately Compute Water Distributions around Negatively Charged Biomolecules. The Journal of Physical Chemistry B. 126(43). 8632–8645. 5 indexed citations
10.
Gu, Hanlin, Wei Wang, Siqin Cao, et al.. (2021). RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics. Physical Chemistry Chemical Physics. 24(3). 1462–1474. 5 indexed citations
11.
Unarta, Ilona Christy, Jianchao Xu, Yuan Shang, et al.. (2021). Entropy of stapled peptide inhibitors in free state is the major contributor to the improvement of binding affinity with the GK domain. RSC Chemical Biology. 2(4). 1274–1284. 10 indexed citations
12.
Unarta, Ilona Christy, et al.. (2021). Markov State Models to Study the Functional Dynamics of Proteins in the Wake of Machine Learning. SHILAP Revista de lepidopterología. 1(9). 1330–1341. 77 indexed citations
13.
Zhu, Lizhe, et al.. (2021). Critical role of backbone coordination in the mRNA recognition by RNA induced silencing complex. Communications Biology. 4(1). 1345–1345. 13 indexed citations
14.
Cao, Siqin, Andrés Montoya−Castillo, Wei Wang, Thomas E. Markland, & Xuhui Huang. (2020). On the advantages of exploiting memory in Markov state models for biomolecular dynamics. The Journal of Chemical Physics. 153(1). 14105–14105. 42 indexed citations
15.
Zheng, Xiaoyan, Dong Wang, Wenhan Xu, et al.. (2019). Charge control of fluorescent probes to selectively target the cell membrane or mitochondria: theoretical prediction and experimental validation. Materials Horizons. 6(10). 2016–2023. 58 indexed citations
16.
Cao, Siqin, et al.. (2019). Recent Developments in Integral Equation Theory for Solvation to Treat Density Inhomogeneity at Solute–Solvent Interface. Advanced Theory and Simulations. 2(7). 7 indexed citations
17.
Zhu, Lizhe, Fu Kit Sheong, Siqin Cao, et al.. (2019). TAPS: A traveling-salesman based automated path searching method for functional conformational changes of biological macromolecules. The Journal of Chemical Physics. 150(12). 124105–124105. 21 indexed citations
18.
Wang, Wei, Siqin Cao, Lizhe Zhu, & Xuhui Huang. (2017). Constructing Markov State Models to elucidate the functional conformational changes of complex biomolecules. Wiley Interdisciplinary Reviews Computational Molecular Science. 8(1). 98 indexed citations
19.
Cao, Siqin, Peter Pak‐Hang Cheung, Xiaoyan Zheng, et al.. (2017). Real-time monitoring of hydrophobic aggregation reveals a critical role of cooperativity in hydrophobic effect. Nature Communications. 8(1). 15639–15639. 88 indexed citations
20.
Cao, Siqin, Guanghong Wei, & Jeff Z. Y. Chen. (2011). Transformation of an oblate-shaped vesicle induced by an adhering spherical particle. Physical Review E. 84(5). 50901–50901. 30 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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