Luonan Chen

Active 1985–2026

379
Papers
19,593
Citations
85
h-index
271
i10-index

Citations

Citations per year for Luonan Chen1960: 1 citations1979: 1 citations1982: 1 citations1985: 1 citations1989: 2 citations1990: 1 citations1994: 1 citations1995: 2 citations1996: 2 citations1997: 10 citations1998: 11 citations1999: 21 citations2000: 19 citations2001: 19 citations2002: 40 citations2003: 26 citations2004: 42 citations2005: 65 citations2006: 85 citations2007: 104 citations2008: 146 citations2009: 215 citations2010: 249 citations2011: 212 citations2012: 308 citations2013: 356 citations2014: 314 citations2015: 320 citations2016: 340 citations2017: 334 citations2018: 365 citations2019: 584 citations2020: 707 citations2021: 812 citations2022: 851 citations2023: 643 citations2024: 1,017 citations2025: 768 citations2026: 108 citations2027: 6 citations1961–1978: no citations, so these years are not shown1980–1981: no citations, so these years are not shown1983–1984: no citations, so these years are not shown1986–1988: no citations, so these years are not shown1991–1993: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,277 citing papers, 35.7% of this breakdownUnited States: 1,456 citing papers, 15.9% of this breakdownJapan: 425 citing papers, 4.6% of this breakdownUnited Kingdom: 374 citing papers, 4.1% of this breakdownCanada: 271 citing papers, 3% of this breakdownGermany: 271 citing papers, 3% of this breakdownIndia: 250 citing papers, 2.7% of this breakdownItaly: 233 citing papers, 2.5% of this breakdownAustralia: 194 citing papers, 2.1% of this breakdownHong Kong: 187 citing papers, 2% of this breakdownSouth Korea: 174 citing papers, 1.9% of this breakdownSpain: 154 citing papers, 1.7% of this breakdown
0%35.7%Other 20.8%

Fields

  • Biochemistry, Genetics and Molecular Biology49.1%
  • Computer Science16.9%
  • Medicine12%
  • Physics and Astronomy6.6%
  • Engineering5.8%
  • Neuroscience2.9%
  • Other6.7%

Topics

  • Bioinformatics and Genomic Networks8.1%
  • Gene Regulatory Network Analysis5.3%
  • Gene expression and cancer classification4.3%
  • Single-cell and spatial transcriptomics2.8%
  • Computational Drug Discovery Methods2.7%
  • Complex Network Analysis Techniques2%
  • Other74.8%

Coauthors

All papers

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  1. Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Vamsidhar Velcheti, Benjamin G. Neel, Liang Hu, James G. Christensen, Peter Olson, Dong Gao, Michael Q. Zhang, Andrew J. Aguirre, Kwok‐Kin Wong, Hongbin Ji - Cancer Cell 2024 cited by 115

  2. Single-cell RNA-sequencing atlas reveals an MDK-dependent immunosuppressive environment in ErbB pathway-mutated gallbladder cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Qiyun Li, Xiangsong Wu, Wei Gong, Yun Liu, Rong Shao, Fatao Liu, Maolan Li, Luonan Chen, Yingbin Liu - Journal of Hepatology 2021 cited by 207

  3. Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

    Authors: , , , , - Scientific Reports 2012 cited by 682

  4. Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data

    Authors: , - Briefings in Bioinformatics, Briefings Bioinform. 2020 cited by 149

  5. A randomized controlled trial for response of microbiome network to exercise and diet intervention in patients with nonalcoholic fatty liver disease

    Authors: , , , , , , , , , , , , , , - Nature Communications 2022 cited by 120

  6. Therapeutic targeting of the mevalonate–geranylgeranyl diphosphate pathway with statins overcomes chemotherapy resistance in small cell lung cancer

    Authors: , , , , , , , , , , , , , , , , , , - Nature Cancer 2022 cited by 106

  7. Deep cross-omics cycle attention model for joint analysis of single-cell multi-omics data

    Authors: , , - Bioinformatics, Bioinform. 2021 cited by 92

  8. Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

    Authors: , , , , , - Nature Communications 2022 cited by 74

  9. Integrated profiling of human pancreatic cancer organoids reveals chromatin accessibility features associated with drug sensitivity

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Communications 2022 cited by 92

  10. Personalized characterization of diseases using sample-specific networks

    Authors: , , , , - Nucleic Acids Research 2016 cited by 341

  11. Single-cell transcriptomics identifies a distinct luminal progenitor cell type in distal prostate invagination tips

    Authors: , , , , , , , , , , , , , , , , , - Nature Genetics 2020 cited by 151

  12. Cell-specific network constructed by single-cell RNA sequencing data

    Authors: , , , - Nucleic Acids Research 2019 cited by 202

  13. STAMarker: determining spatial domain-specific variable genes with saliency maps in deep learning

    Authors: , , , , - Nucleic Acids Research 2023 cited by 47

  14. Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

    Authors: , , , - Nature Communications 2020 cited by 132

  15. Metabolic classification suggests the GLUT1/ALDOB/G6PD axis as a therapeutic target in chemotherapy-resistant pancreatic cancer

    Authors: , , , , , , , , , , , , , , , , - Cell Reports Medicine 2023 cited by 74

  16. Victors: a web-based knowledge base of virulence factors in human and animal pathogens

    Authors: , , , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2018 cited by 203

  17. Deep latent space fusion for adaptive representation of heterogeneous multi-omics data

    Authors: , , , , , , - Briefings in Bioinformatics, Briefings Bioinform. 2021 cited by 60

  18. Chaotic simulated annealing by a neural network model with transient chaos

    Authors: , - Neural Networks 1995 cited by 664

  19. Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

    Authors: , , , - Medicinal Research Reviews 2013 cited by 358

  20. Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

    Authors: , , , , , , , , - Bioinformatics, Bioinform. 2011 cited by 340

  21. Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma

    Authors: , , , , , , - Nature Communications 2018 cited by 266

  22. A vitamin-C-derived DNA modification catalysed by an algal TET homologue

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature 2019 cited by 107

  23. Dissecting tumor microenvironment from spatially resolved transcriptomics data by heterogeneous graph learning

    Authors: , , - Nature Communications 2024 cited by 39

  24. Sex differences orchestrated by androgens at single-cell resolution

    Authors: , , , , , , , , , , , , , , , , , , , - Nature 2024 cited by 72