Zixuan Cang

3.3k total citations · 1 hit paper
31 papers, 2.1k citations indexed

About

Zixuan Cang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Zixuan Cang has authored 31 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 8 papers in Biophysics. Recurrent topics in Zixuan Cang's work include Single-cell and spatial transcriptomics (12 papers), Protein Structure and Dynamics (9 papers) and Computational Drug Discovery Methods (9 papers). Zixuan Cang is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Protein Structure and Dynamics (9 papers) and Computational Drug Discovery Methods (9 papers). Zixuan Cang collaborates with scholars based in United States, Canada and China. Zixuan Cang's co-authors include Guo‐Wei Wei, Qing Nie, Guo‐Wei Wei, Lin Mu, Menglun Wang, Axel A. Almet, Duc Duy Nguyen, Suoqin Jin, Guo-Wei Wei and Benjamin L. Walker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zixuan Cang

30 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Screening cell–cell communication in spatial transcriptomics via collective optimal transport

2023 183 citations Zixuan Cang, Yanxiang Zhao et al. profile →

Peers

Countries citing papers authored by Zixuan Cang

Since Specialization

Citations

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

Fields of papers citing papers by Zixuan Cang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zixuan Cang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Synchronized Optimal Transport for Joint Modeling of Dynamics Across Multiple Spaces 2025 ·SIAM Journal on Applied Mathematics ·Zixuan Cang, Yanxiang Zhao	1
2	Supervised Gromov–Wasserstein Optimal Transport with Metric-Preserving Constraints 2025 ·SIAM Journal on Mathematics of Data Science ·Zixuan Cang, (unknown), Yanxiang Zhao	0
3	Topological and geometric analysis of cell states in single-cell transcriptomic data 2024 ·Briefings in Bioinformatics ·Tram Huynh, Zixuan Cang	10
4	Poisson-Boltzmann-based machine learning model for electrostatic analysis 2024 ·Biophysical Journal ·Jiahui Chen, (unknown), Xin Yang, Zixuan Cang, Weihua Geng, Guo‐Wei Wei	4
5	Deciphering tissue structure and function using spatial transcriptomics 2022 ·Communications Biology ·Benjamin L. Walker, Zixuan Cang, Honglei Ren, (unknown), Qing Nie	60
6	Supervised Optimal Transport 2022 ·SIAM Journal on Applied Mathematics ·Zixuan Cang, Qing Nie, Yanxiang Zhao	1
7	Identifying multicellular spatiotemporal organization of cells with SpaceFlow 2022 ·Nature Communications ·Honglei Ren, Benjamin L. Walker, Zixuan Cang, Qing Nie	96
8	Charge substitutions at the voltage-sensing module of domain III enhance actions of site-3 and site-4 toxins on an insect sodium channel 2021 ·Insect Biochemistry and Molecular Biology ·(unknown), Yuzhe Du, Yoshiko Nomura, Rong Gao, Zixuan Cang, Guo‐Wei Wei, Dalia Gordon, Michael Gurevitz, James R. Groome, Ke Dong	2
9	A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development 2021 ·PLoS Computational Biology ·Zixuan Cang, Yangyang Wang, (unknown), Ken W. Y. Cho, William R. Holmes, Qing Nie	19
10	A Study of Gene Expression, Structure, and Contractility of iPSC-Derived Cardiac Myocytes from a Family with Heart Disease due to LMNA Mutation 2021 ·Annals of Biomedical Engineering ·(unknown), (unknown), Zixuan Cang, Cecilia Nguyen, Yutong Sha, (unknown), (unknown), (unknown), (unknown), Qing Nie, Michael V. Zaragoza, Anna Grosberg	7
11	The landscape of cell–cell communication through single-cell transcriptomics 2021 ·Current Opinion in Systems Biology ·Axel A. Almet, Zixuan Cang, Suoqin Jin, Qing Nie	122
12	Single-cell transcriptomic analysis of zebrafish cranial neural crest reveals spatiotemporal regulation of lineage decisions during development 2021 ·Cell Reports ·David Tatarakis, Zixuan Cang, Xiaojun Wu, (unknown), (unknown), Adam L. MacLean, Qing Nie, Thomas F. Schilling	25
13	Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis 2020 ·PubMed ·Zixuan Cang, Elizabeth Munch, Guo‐Wei Wei	11
14	A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation 2020 ·Nature Machine Intelligence ·Menglun Wang, Zixuan Cang, Guo‐Wei Wei	126
15	Defining Epidermal Basal Cell States during Skin Homeostasis and Wound Healing Using Single-Cell Transcriptomics 2020 ·Cell Reports ·Daniel Haensel, Suoqin Jin, Peng Sun, Rachel Cinco, Morgan Dragan, Quy Nguyen, Zixuan Cang, Yanwen Gong, Remy Vu, Adam L. MacLean, Kai Kessenbrock, Enrico Gratton, Qing Nie, Xing Dai	154
16	Inferring spatial and signaling relationships between cells from single cell transcriptomic data 2020 ·Nature Communications ·Zixuan Cang, Qing Nie	245
17	Persistent Cohomology for Data With Multicomponent Heterogeneous Information 2020 ·SIAM Journal on Mathematics of Data Science ·Zixuan Cang, Guo‐Wei Wei	14
18	Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges 2018 ·Journal of Computer-Aided Molecular Design ·Duc Duy Nguyen, Zixuan Cang, Kedi Wu, Menglun Wang, (unknown), Guo‐Wei Wei	117
19	Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening 2018 ·PLoS Computational Biology ·Zixuan Cang, Lin Mu, Guo‐Wei Wei	181
20	TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions 2017 ·PLoS Computational Biology ·Zixuan Cang, Guo‐Wei Wei	238

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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