Yuzhou Chang

3.1k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Yuzhou Chang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yuzhou Chang has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Yuzhou Chang's work include Single-cell and spatial transcriptomics (11 papers), Glioma Diagnosis and Treatment (7 papers) and Gene expression and cancer classification (6 papers). Yuzhou Chang is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Glioma Diagnosis and Treatment (7 papers) and Gene expression and cancer classification (6 papers). Yuzhou Chang collaborates with scholars based in China, United States and United Kingdom. Yuzhou Chang's co-authors include Qin Ma, Anjun Ma, Ruichao Chai, Yongzhi Wang, Tao Jiang, Kenan Zhang, Hongjun Fu, Adam McDermaid, Cankun Wang and Dong Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Yuzhou Chang

40 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

2021 250 citations Juexin Wang, Anjun Ma et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuzhou Chang China	20	1.0k	425	187	179	138	44	1.5k
Sanja Vicković Sweden	14	1.6k 1.5×	381 0.9×	348 1.9×	76 0.4×	128 0.9×	18	2.0k
Amina A. Qutub United States	21	1.1k 1.0×	301 0.7×	103 0.6×	100 0.6×	41 0.3×	59	1.6k
Sven Nelander Sweden	26	1.4k 1.4×	468 1.1×	208 1.1×	388 2.2×	67 0.5×	74	2.2k
Alexandra Keenan United States	9	1.1k 1.1×	262 0.6×	211 1.1×	47 0.3×	129 0.9×	13	1.7k
Åsa Segerstolpe United States	11	1.6k 1.6×	346 0.8×	274 1.5×	128 0.7×	39 0.3×	20	2.5k
Marc Aubry France	22	866 0.8×	412 1.0×	125 0.7×	355 2.0×	27 0.2×	50	1.5k
Kristina Kirschner United Kingdom	21	2.2k 2.1×	497 1.2×	454 2.4×	206 1.2×	59 0.4×	38	3.1k
Jiarui Ding Canada	19	1.7k 1.6×	730 1.7×	250 1.3×	45 0.3×	100 0.7×	50	2.5k
Kieran R. Campbell Canada	13	1.0k 1.0×	271 0.6×	310 1.7×	22 0.1×	101 0.7×	27	1.4k
Lovelace J. Luquette United States	17	1.9k 1.8×	862 2.0×	103 0.6×	55 0.3×	80 0.6×	21	2.5k

Countries citing papers authored by Yuzhou Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yuzhou Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhou Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Bill X., Hakan Çam, Chelsea Bolyard, et al.. (2025). Targeting TGFβ docking receptor glycoprotein A repetitions predominant (GARP) via novel chimeric antigen receptor (CAR)-T cell platform to treat glioblastoma. Neuro-Oncology. 27(12). 3087–3103. 1 indexed citations

Zhang, Jiarui, Lian Liu, Chao Ma, et al.. (2025). Pipeline embolization device in treating middle cerebral artery aneurysms: a single-center experience in 69 consecutive patients. Neuroradiology. 67(5). 1263–1272.

Zhou, Lei, Maria Velegraki, Yi Wang, et al.. (2024). Spatial and functional targeting of intratumoral Tregs reverses CD8+ T cell exhaustion and promotes cancer immunotherapy. Journal of Clinical Investigation. 134(14). 18 indexed citations

Chang, Yuzhou, Jixin Liu, Yi Jiang, et al.. (2024). Graph Fourier transform for spatial omics representation and analyses of complex organs. Nature Communications. 15(1). 7467–7467. 9 indexed citations

Zheng, Jiaying, Shunyi Zhao, Wenjing Zhang, et al.. (2023). TREM2 mediates MHCII-associated CD4+ T-cell response against gliomas. Neuro-Oncology. 26(5). 811–825. 14 indexed citations

Wang, Juexin, Jinpu Li, Li Su, et al.. (2023). Dimension-agnostic and granularity-based spatially variable gene identification using BSP. Nature Communications. 14(1). 7367–7367. 18 indexed citations

Chang, Yuzhou, Haoyu Zhu, Xu Tong, et al.. (2023). High-resolution magnetic resonance imaging-based radiomic features aid in selecting endovascular candidates among patients with cerebral venous sinus thrombosis. Thrombosis Journal. 21(1). 116–116. 1 indexed citations

Ma, Anjun, Xiaoying Wang, Jingxian Li, et al.. (2023). Single-cell biological network inference using a heterogeneous graph transformer. Nature Communications. 14(1). 964–964. 93 indexed citations

Schafer, Johanna M., Tong Xiao, Hyunwoo Kwon, et al.. (2022). Sex-biased adaptive immune regulation in cancer development and therapy. iScience. 25(8). 104717–104717. 20 indexed citations

10.

Bost, Pierre, Yuzhou Chang, Shuo Chen, et al.. (2022). A shared disease-associated oligodendrocyte signature among multiple CNS pathologies. Nature Neuroscience. 25(7). 876–886. 115 indexed citations

11.

Allen, Carter, Yuzhou Chang, Brian Neelon, et al.. (2022). A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics. Biometrics. 79(3). 1775–1787. 7 indexed citations

12.

Chang, Yuzhou, Ruichao Chai, Bo Pang, et al.. (2021). METTL3 enhances the stability of MALAT1 with the assistance of HuR via m6A modification and activates NF-κB to promote the malignant progression of IDH-wildtype glioma. Cancer Letters. 511. 36–46. 119 indexed citations

13.

Chang, Yuzhou, Carter Allen, Changlin Wan, et al.. (2021). IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis. Bioinformatics. 37(18). 3045–3047. 5 indexed citations

14.

Xu, Yanying, Xiaoyue Hu, Zhenwu Zhuang, et al.. (2021). MEKK3–TGFβ crosstalk regulates inward arterial remodeling. Proceedings of the National Academy of Sciences. 118(51). 24 indexed citations

15.

Wang, Juexin, Anjun Ma, Yuzhou Chang, et al.. (2021). scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses. Nature Communications. 12(1). 1882–1882. 250 indexed citations breakdown →

16.

Chai, Ruichao, Guanzhang Li, Yuqing Liu, et al.. (2021). Predictive value of MGMT promoter methylation on the survival of TMZ treated <i>IDH</i>-mutant glioblastoma. Cancer Biology and Medicine. 18(1). 271–282. 44 indexed citations

17.

Ma, Anjun, Cankun Wang, Yuzhou Chang, et al.. (2020). IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq. Nucleic Acids Research. 48(W1). W275–W286. 27 indexed citations

18.

Ma, Anjun, Cankun Wang, Yuzhou Chang, et al.. (2020). IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq. PMC. 1 indexed citations

19.

Ma, Anjun, et al.. (2020). Integrative Methods and Practical Challenges for Single-Cell Multi-omics. Trends in biotechnology. 38(9). 1007–1022. 163 indexed citations

20.

Chai, Ruichao, Yiming Li, Kenan Zhang, et al.. (2019). RNA processing genes characterize RNA splicing and further stratify lower-grade glioma. JCI Insight. 5. 20 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.

Explore authors with similar magnitude of impact