Cankun Wang

2.3k total citations · 2 hit papers
39 papers, 1.1k citations indexed

About

Cankun Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Cankun Wang has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Cankun Wang's work include Single-cell and spatial transcriptomics (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cancer-related molecular mechanisms research (6 papers). Cankun Wang is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cancer-related molecular mechanisms research (6 papers). Cankun Wang collaborates with scholars based in United States, China and United Kingdom. Cankun Wang's co-authors include Qin Ma, Anjun Ma, Hongjun Fu, Ren Qi, Yuzhou Chang, Dong Xu, Juexin Wang, Yuexu Jiang, Jianting Gong and Yang Li and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Cankun Wang

37 papers receiving 1.1k 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.

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 →
Microglia coordinate cellular interactions during spinal cord repair in mice

2022 176 citations Faith H. Brennan, Yang Li 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
Cankun Wang United States	16	807	215	200	121	89	39	1.1k
Alexandra Keenan United States	9	1.1k 1.4×	262 1.2×	129 0.6×	61 0.5×	211 2.4×	13	1.7k
Habil Zare United States	15	566 0.7×	139 0.6×	100 0.5×	40 0.3×	115 1.3×	32	1.0k
Matthew C. Hill United States	22	1.6k 2.0×	184 0.9×	48 0.2×	37 0.3×	108 1.2×	44	2.3k
Kieran R. Campbell Canada	13	1.0k 1.3×	271 1.3×	101 0.5×	26 0.2×	310 3.5×	27	1.4k
Maryam Clausen Sweden	15	1.4k 1.7×	271 1.3×	109 0.5×	27 0.2×	237 2.7×	21	2.1k
Sumit Mukherjee United States	9	817 1.0×	170 0.8×	102 0.5×	15 0.1×	151 1.7×	22	1.1k
Saskia Freytag Australia	15	494 0.6×	111 0.5×	169 0.8×	21 0.2×	78 0.9×	46	935
Yuzhou Chang China	20	1.0k 1.3×	425 2.0×	138 0.7×	18 0.1×	187 2.1×	44	1.5k
Siavash Fazel Darbandi United States	11	1.0k 1.3×	135 0.6×	55 0.3×	69 0.6×	72 0.8×	13	1.6k
Bo Ma China	18	549 0.7×	218 1.0×	108 0.5×	19 0.2×	65 0.7×	49	1.3k

Countries citing papers authored by Cankun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Cankun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cankun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Cankun Wang. A scholar is included among the top collaborators of Cankun 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 Cankun Wang. Cankun Wang 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

Li, Yang, Anjun Ma, Yizhong Wang, et al.. (2024). Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data. Briefings in Bioinformatics. 25(5). 5 indexed citations

Yu, Yang, Cankun Wang, Shiqiao Ye, et al.. (2024). Abnormal Progenitor Cell Differentiation and Cardiomyocyte Proliferation in Hypoplastic Right Heart Syndrome. Circulation. 149(11). 888–891. 3 indexed citations

Wang, Cankun, Diana Acosta, Jiang Bian, et al.. (2024). A single-cell and spatial RNA-seq database for Alzheimer’s disease (ssREAD). Nature Communications. 15(1). 4710–4710. 22 indexed citations

Ma, Anjun, Ruohan Zhang, Chen Yao, et al.. (2024). Targeting metabolic sensing switch GPR84 on macrophages for cancer immunotherapy. Cancer Immunology Immunotherapy. 73(3). 52–52. 8 indexed citations

Kwon, Hyunwoo, Mingjia Li, Anjun Ma, et al.. (2024). Eosinophil-neutrophil ratio as a sex-dependent prognostic marker in immune checkpoint therapy for metastatic NSCLC and transcriptomic evaluation of intratumoral eosinophil-T cell interaction.. Journal of Clinical Oncology. 42(16_suppl). 8586–8586. 1 indexed citations

Li, Yang, Yi‐Zhong Wang, Cankun Wang, et al.. (2024). A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data. Patterns. 5(3). 100927–100927. 2 indexed citations

Ye, Shiqiao, Cankun Wang, Zhaohui Xu, et al.. (2022). Impaired Human Cardiac Cell Development due to NOTCH1 Deficiency. Circulation Research. 132(2). 187–204. 31 indexed citations

Jerome, Andrew, Andrew Sas, Cankun Wang, et al.. (2022). Biological aging of CNS-resident cells alters the clinical course and immunopathology of autoimmune demyelinating disease. JCI Insight. 7(12). 16 indexed citations

Brennan, Faith H., Yang Li, Cankun Wang, et al.. (2022). Microglia coordinate cellular interactions during spinal cord repair in mice. Nature Communications. 13(1). 4096–4096. 176 indexed citations breakdown →

10.

Chen, Shuo, Yuzhou Chang, Liangping Li, et al.. (2022). Spatially resolved transcriptomics reveals genes associated with the vulnerability of middle temporal gyrus in Alzheimer’s disease. Acta Neuropathologica Communications. 10(1). 188–188. 54 indexed citations

11.

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 →

12.

Wang, Cankun, et al.. (2021). Use of scREAD to explore and analyze single-cell and single-nucleus RNA-seq data for Alzheimer’s disease. STAR Protocols. 2(2). 100513–100513. 5 indexed citations

13.

Li, Ying, Jianing Zhao, Zhaoqian Liu, et al.. (2021). De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning. Frontiers in Genetics. 12. 630379–630379. 6 indexed citations

14.

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

15.

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

16.

Niu, Mengting, Yanjuan Li, Cankun Wang, et al.. (2020). CirRNAPL: A web server for the identification of circRNA based on extreme learning machine. Computational and Structural Biotechnology Journal. 18. 834–842. 42 indexed citations

17.

Yang, Jinyu, Anjun Ma, Adam D. Hoppe, et al.. (2019). Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework. Nucleic Acids Research. 47(15). 7809–7824. 47 indexed citations

18.

Monier, Brandon, Adam McDermaid, Cankun Wang, et al.. (2019). IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis. PLoS Computational Biology. 15(2). e1006792–e1006792. 32 indexed citations

19.

Han, Siyu, Qin Ma, Yu Zhang, et al.. (2018). LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property. Briefings in Bioinformatics. 20(6). 2009–2027. 102 indexed citations

20.

McDermaid, Adam, Xin Chen, Yiran Zhang, et al.. (2018). A New Machine Learning-Based Framework for Mapping Uncertainty Analysis in RNA-Seq Read Alignment and Gene Expression Estimation. Frontiers in Genetics. 9. 313–313. 21 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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