Yuchao Jiang

2.3k total citations · 1 hit paper
37 papers, 1.0k citations indexed

About

Yuchao Jiang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yuchao Jiang has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Genetics. Recurrent topics in Yuchao Jiang's work include Single-cell and spatial transcriptomics (15 papers), Cancer Genomics and Diagnostics (13 papers) and DNA Repair Mechanisms (5 papers). Yuchao Jiang is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), Cancer Genomics and Diagnostics (13 papers) and DNA Repair Mechanisms (5 papers). Yuchao Jiang collaborates with scholars based in United States, China and Türkiye. Yuchao Jiang's co-authors include Nancy R. Zhang, Aziz Sancar, Askar Yimit, Ogün Adebalı, Eugene Urrutia, Yu Qiu, Rujin Wang, Andy J. Minn, Derek A. Oldridge and Sharon J. Diskin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yuchao Jiang

35 papers receiving 1.0k citations

Hit Papers

Adaptive Linear Time-Varying Parameter-Varying Modeling o... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchao Jiang United States 18 726 380 216 120 80 37 1.0k
Yoonseok Kam United States 16 720 1.0× 340 0.9× 137 0.6× 241 2.0× 43 0.5× 24 1.2k
Arwa S. Kathiria United States 13 901 1.2× 247 0.7× 111 0.5× 112 0.9× 205 2.6× 14 1.2k
Thomas Westerling United States 15 623 0.9× 177 0.5× 203 0.9× 345 2.9× 46 0.6× 20 1.1k
Ivan Yevshin Russia 12 1.1k 1.5× 230 0.6× 204 0.9× 100 0.8× 133 1.7× 22 1.4k
Longqi Liu China 17 1.1k 1.5× 286 0.8× 66 0.3× 83 0.7× 174 2.2× 59 1.4k
Masamichi Imajo Japan 13 661 0.9× 119 0.3× 67 0.3× 200 1.7× 77 1.0× 22 1.0k
Xi Luo China 11 467 0.6× 113 0.3× 253 1.2× 125 1.0× 67 0.8× 23 933
Erhan Bilal United States 16 769 1.1× 400 1.1× 57 0.3× 93 0.8× 62 0.8× 34 1.1k
Jan‐Philipp Mallm Germany 19 1.3k 1.7× 169 0.4× 122 0.6× 197 1.6× 396 5.0× 48 1.9k
Miyeko Mana United States 12 464 0.6× 156 0.4× 131 0.6× 261 2.2× 57 0.7× 17 908

Countries citing papers authored by Yuchao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yuchao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchao Jiang. A scholar is included among the top collaborators of Yuchao Jiang 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 Yuchao Jiang. Yuchao Jiang 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.
Weideman, Ann Marie, Rujin Wang, Joseph G. Ibrahim, & Yuchao Jiang. (2025). Canopy2: Tumor Phylogeny Inference by Bulk DNA and Single-Cell RNA Sequencing. Statistics in Biosciences. 18(1). 68–110.
2.
Xiao, Jianzhuang, Yuchao Jiang, Dianchao Wang, Takafumi Noguchi, & Zheng Lu. (2025). Global CO2 sequestration potential of recycled aggregates: Modeling, life cycle analysis, and accelerated carbonation strategies. Waste Management. 204. 114951–114951. 3 indexed citations
3.
Jiang, Yuchao, Aman Khan, Xueyao Zhang, et al.. (2024). Environmental risks of mask wastes binding pollutants: Phytotoxicity, microbial community, nitrogen and carbon cycles. Journal of Hazardous Materials. 476. 135058–135058. 6 indexed citations
4.
Harigaya, Yuriko, David M. Murdoch, David M. Margolis, et al.. (2024). Integrated Single-cell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation. Genomics Proteomics & Bioinformatics. 22(1). 9 indexed citations
5.
Lindsey‐Boltz, Laura A., et al.. (2024). Genome-wide analysis of transcription-coupled repair reveals novel transcription events in Caenorhabditis elegans. PLoS Genetics. 20(7). e1011365–e1011365. 1 indexed citations
7.
Lee, Jin Seok, et al.. (2023). Destin2: Integrative and cross-modality analysis of single-cell chromatin accessibility data. Frontiers in Genetics. 14. 1089936–1089936.
8.
Dong, Meichen, Yiping He, Yuchao Jiang, & Fei Zou. (2022). Joint Gene Network Construction by Single-Cell RNA Sequencing Data. Biometrics. 79(2). 915–925. 1 indexed citations
9.
Wang, Ye, Yuchao Jiang, Bing Yao, et al.. (2021). WEVar: a novel statistical learning framework for predicting noncoding regulatory variants. Briefings in Bioinformatics. 22(6). 6 indexed citations
10.
Liu, Ziqing, et al.. (2021). Single-Cell RNA Sequencing Reveals Endothelial Cell Transcriptome Heterogeneity Under Homeostatic Laminar Flow. Arteriosclerosis Thrombosis and Vascular Biology. 41(10). 2575–2584. 28 indexed citations
11.
Chen, Yang, et al.. (2020). Genome-wide circadian rhythm detection methods: systematic evaluations and practical guidelines. Briefings in Bioinformatics. 22(3). 32 indexed citations
12.
Wang, Ye, Yuchao Jiang, Xiao Qin, et al.. (2020). A novel deep learning method for predictive modeling of microbiome data. Briefings in Bioinformatics. 22(3). 35 indexed citations
13.
Dong, Meichen, Aatish Thennavan, Eugene Urrutia, et al.. (2019). SCDC: bulk gene expression deconvolution by multiple single-cell RNA sequencing references. Briefings in Bioinformatics. 22(1). 416–427. 140 indexed citations
14.
Huh, Ruth, Yuchen Yang, Yuchao Jiang, Yin Shen, & Yun Li. (2019). SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble. Nucleic Acids Research. 48(1). 86–95. 55 indexed citations
15.
Urrutia, Eugene, Li Chen, Haibo Zhou, & Yuchao Jiang. (2019). Destin: toolkit for single-cell analysis of chromatin accessibility. Bioinformatics. 35(19). 3818–3820. 19 indexed citations
16.
Wang, Rujin, D. Y. Lin, & Yuchao Jiang. (2019). Abstract 5094: SCOPE: A normalization and copy number estimation method for single-cell DNA sequencing. Cancer Research. 79(13_Supplement). 5094–5094. 1 indexed citations
17.
Urrutia, Eugene, et al.. (2018). Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny. Bioinformatics. 34(12). 2126–2128. 24 indexed citations
18.
Yang, Yanyan, Jinchuan Hu, Christopher P. Selby, et al.. (2018). Single-nucleotide resolution analysis of nucleotide excision repair of ribosomal DNA in humans and mice. Journal of Biological Chemistry. 294(1). 210–217. 19 indexed citations
19.
Jiang, Yuchao, Nancy R. Zhang, & Mingyao Li. (2017). SCALE: modeling allele-specific gene expression by single-cell RNA sequencing. Genome biology. 18(1). 74–74. 64 indexed citations
20.
Jiang, Yuchao, et al.. (2017). Allele-specific copy number estimation by whole exome sequencing. The Annals of Applied Statistics. 11(2). 1169–1192. 9 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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