Jean Yang

49.7k total citations · 4 hit papers
257 papers, 13.8k citations indexed

About

Jean Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jean Yang has authored 257 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Molecular Biology, 35 papers in Cancer Research and 24 papers in Oncology. Recurrent topics in Jean Yang's work include Gene expression and cancer classification (44 papers), Single-cell and spatial transcriptomics (39 papers) and Bioinformatics and Genomic Networks (35 papers). Jean Yang is often cited by papers focused on Gene expression and cancer classification (44 papers), Single-cell and spatial transcriptomics (39 papers) and Bioinformatics and Genomic Networks (35 papers). Jean Yang collaborates with scholars based in Australia, United States and Germany. Jean Yang's co-authors include Terence P. Speed, Sandrine Dudoit, Pengyi Yang, Matthew J. Callow, Gordon K. Smyth, Richard A. Scolyer, Anna Campain, David J. Erle, Yue Cao and Bing Bing Zhou 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

Jean Yang

247 papers receiving 13.4k 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.

Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation

2002 2.8k citations Jean Yang profile →
STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS

2002 1.0k citations Sandrine Dudoit, Jean Yang et al. Statistica Sinica profile →
Genome-wide profiling identifies epithelial cell genes associated with asthma and with treatment response to corticosteroids

2007 626 citations Jean Yang et al. Proceedings of the National Academy of Sciences profile →
Design issues for cDNA microarray experiments

2002 540 citations Jean Yang, Terence P. Speed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Yang Australia	52	8.2k	1.6k	1.6k	1.4k	1.2k	257	13.8k
Anne E. Carpenter United States	58	11.0k 1.3×	1.1k 0.7×	1.2k 0.8×	1.6k 1.1×	1.2k 1.0×	166	19.8k
W. Evan Johnson United States	35	8.9k 1.1×	2.5k 1.6×	1.6k 1.0×	1.4k 1.0×	1.8k 1.5×	126	14.6k
Jaak Vilo Estonia	36	8.1k 1.0×	2.0k 1.3×	1.5k 1.0×	840 0.6×	1.7k 1.4×	91	13.4k
Satoru Miyano Japan	58	10.5k 1.3×	2.7k 1.7×	1.1k 0.7×	1.3k 0.9×	1.3k 1.0×	523	15.5k
Alberto Santos Denmark	23	10.2k 1.2×	2.8k 1.8×	1.5k 1.0×	1.4k 1.0×	1.4k 1.2×	30	16.3k
Aristotelis Tsirigos United States	51	6.9k 0.8×	3.0k 1.9×	1.2k 0.7×	1.6k 1.2×	702 0.6×	146	11.0k
Jeffrey T. Leek United States	39	10.0k 1.2×	2.5k 1.6×	1.4k 0.9×	949 0.7×	2.5k 2.1×	82	16.1k
Alvis Brāzma United Kingdom	50	11.0k 1.3×	1.4k 0.9×	1.1k 0.7×	743 0.5×	1.6k 1.3×	132	14.7k
Henning Hermjakob United Kingdom	54	12.8k 1.6×	1.0k 0.6×	1.1k 0.7×	895 0.6×	1.2k 1.0×	213	17.4k
Zhongming Zhao United States	63	9.1k 1.1×	3.1k 2.0×	1.0k 0.7×	1.3k 0.9×	3.1k 2.5×	535	15.1k

Countries citing papers authored by Jean Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jean Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Yang

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

Cao, Yue, et al.. (2025). Pathway metabolite ratios reveal distinctive glutamine metabolism in a subset of proliferating cells. Molecular Systems Biology. 21(8). 983–1003. 1 indexed citations

Cao, Yue, et al.. (2025). Multi-task benchmarking of spatially resolved gene expression simulation models. Genome biology. 26(1). 57–57. 1 indexed citations

Fu, Xiaohang, et al.. (2025). Benchmarking the translational potential of spatial gene expression prediction from histology. Nature Communications. 16(1). 1544–1544. 11 indexed citations

Zhang, Jiaxuan, et al.. (2024). Scope+: an open source generalizable architecture for single-cell RNA-seq atlases at sample and cell levels. Bioinformatics. 41(1). 1 indexed citations

Xu, Xiangnan, Michal Lubomski, Andrew Holmes, et al.. (2023). NEMoE: a nutrition aware regularized mixture of experts model to identify heterogeneous diet-microbiome-host health interactions. Microbiome. 11(1). 51–51. 2 indexed citations

Kott, Kayleen S., Stephen T. Vernon, Ellis Patrick, et al.. (2023). Acute exposure to PM2.5 promotes arterial stiffening by down-regulating serine and trans-4-hydroxyproline dependent pathways - results from an Asutralian cohort metabolomic study. European Heart Journal. 44(Supplement_2).

Yang, Pengyi, et al.. (2022). scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming model. NAR Genomics and Bioinformatics. 4(1). lqac023–lqac023. 8 indexed citations

Cao, Yue, Yingxin Lin, Ellis Patrick, Pengyi Yang, & Jean Yang. (2022). scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction. Bioinformatics. 38(20). 4745–4753. 8 indexed citations

Vernon, Stephen T., Owen Tang, Tai-Yun Kim, et al.. (2021). Metabolic Signatures in Coronary Artery Disease: Results from the BioHEART-CT Study. Cells. 10(5). 980–980. 17 indexed citations

10.

Francis, Deanne, Shila Ghazanfar, Essi Havula, et al.. (2021). Genome-wide analysis in Drosophila reveals diet-by-gene interactions and uncovers diet-responsive genes. G3 Genes Genomes Genetics. 11(10). 6 indexed citations

11.

Kim, Hani Jieun, Yingxin Lin, Thomas A. Geddes, Jean Yang, & Pengyi Yang. (2020). CiteFuse enables multi-modal analysis of CITE-seq data. Bioinformatics. 36(14). 4137–4143. 62 indexed citations

12.

Su, Xianbin, Qi Long, Juanjie Bo, et al.. (2020). Mutational and transcriptomic landscapes of a rare human prostate basal cell carcinoma. The Prostate. 80(6). 508–517. 14 indexed citations

13.

Lin, Yingxin, Yue Cao, Hani Jieun Kim, et al.. (2020). scClassify: sample size estimation and multiscale classification of cells using single and multiple reference. Molecular Systems Biology. 16(6). e9389–e9389. 88 indexed citations

14.

Lin, Yingxin, Shila Ghazanfar, Kevin Wang, et al.. (2019). scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets. Proceedings of the National Academy of Sciences. 116(20). 9775–9784. 110 indexed citations

15.

Ghazanfar, Shila, Dario Strbenac, John T. Ormerod, Jean Yang, & Ellis Patrick. (2018). DCARS: differential correlation across ranked samples. Bioinformatics. 35(5). 823–829. 5 indexed citations

16.

Wang, Kevin, Alexander M. Menzies, Inês Pires da Silva, et al.. (2018). bcGST—an interactive bias-correction method to identify over-represented gene-sets in boutique arrays. Bioinformatics. 35(8). 1350–1357. 1 indexed citations

17.

Lim, Su Yin, Jenny Lee, Tuba N. Gide, et al.. (2018). Circulating Cytokines Predict Immune-Related Toxicity in Melanoma Patients Receiving Anti-PD-1–Based Immunotherapy. Clinical Cancer Research. 25(5). 1557–1563. 271 indexed citations

18.

Kakavand, Hojabr, Robert V. Rawson, Gulietta M. Pupo, et al.. (2017). PD-L1 Expression and Immune Escape in Melanoma Resistance to MAPK Inhibitors. Clinical Cancer Research. 23(20). 6054–6061. 63 indexed citations

19.

Madore, Jason, Dario Strbenac, Ricardo E. Vilain, et al.. (2016). PD-L1 Negative Status is Associated with Lower Mutation Burden, Differential Expression of Immune-Related Genes, and Worse Survival in Stage III Melanoma. Clinical Cancer Research. 22(15). 3915–3923. 92 indexed citations

20.

Dudoit, Sandrine, Jean Yang, Matthew J. Callow, & Terence P. Speed. (2002). STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS. Statistica Sinica. 12(1). 1023 indexed citations breakdown →

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