World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
6725
World Ranking
8057
National Ranking
1057

Overview

Lin Gao is affiliated with Xidian University in China and has an extensive research portfolio primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work spans several subfields including Molecular Biology, Immunology, Genetics, Endocrine and Autonomic Systems, and Cell Biology.

The scientist's research topics focus significantly on the neuroscience of respiration and sleep, high altitude and hypoxia, and hemoglobin structure and function. Additionally, they have engaged in studies involving single-cell and spatial transcriptomics, immune cells in cancer, phagocytosis and immune regulation, and RNA interference and gene delivery.

Lin Gao has published in numerous reputable venues with multiple contributions in the following journals and platforms:

  • Nature
  • Scientific Reports
  • arXiv (Cornell University)
  • Nature Communications
  • Journal of Translational Medicine

Frequent coauthors associated with Lin Gao include José López-Barneo, Patricia Ortega-Sáenz, Patricia González-Rodríguez, Navdeep S. Chandel, and Alejandro Moreno-Domínguez.

Several notable recent papers highlight Lin Gao's research contributions. These include:

  • "Disruption of mitochondrial complex I induces progressive parkinsonism," 2021, Nature
  • "Mitochondrial integrated stress response controls lung epithelial cell fate," 2023, Nature
  • "Role of Medium-Chain Fatty Acids in Healthy Metabolism: A Clinical Perspective," 2021, Trends in Endocrinology and Metabolism
  • "Acute O 2 sensing through HIF2α-dependent expression of atypical cytochrome oxidase subunits in arterial chemoreceptors," 2020, Science Signaling
  • "Dual mRNA co-delivery for in situ generation of phagocytosis-enhanced CAR macrophages augments hepatocellular carcinoma immunotherapy," 2023, Journal of Controlled Release

Best Publications

  • Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

    Lin Gao;Xiaofei Wang;Xiaofei Wang;Brian Alan Johnson;Qingjiu Tian

  • VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation

    Hsien-Yu Meng;Lin Gao;Yu-Kun Lai;Dinesh Manocha

  • SDM-NET: deep generative network for structured deformable mesh

    Lin Gao;Jie Yang;Tong Wu;Yu-Jie Yuan

  • Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks

    Xingli Guo;Lin Gao;Qi Liao;Hui Xiao

  • Variational Autoencoders for Deforming 3D Mesh Models

    Qingyang Tan;Lin Gao;Yu-Kun Lai;Shihong Xia

  • Semi-supervised clustering algorithm for community structure detection in complex networks

    Xiaoke Ma;Lin Gao;Xuerong Yong;Lidong Fu

  • Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns

    Xiaofei Yang;Lin Gao;Shihua Zhang

  • 3D-FUTURE: 3D Furniture shape with TextURE

    Huan Fu;Rongfei Jia;Lin Gao;Mingming Gong

  • Advances in long noncoding RNAs: identification, structure prediction and function annotation.

    Xingli Guo;Lin Gao;Yu Wang;David K. Y. Chiu

  • Identification of overlapping and non-overlapping community structure by fuzzy clustering in complex networks

    Peng Gang Sun;Lin Gao;Shan Shan Han

  • Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition.

    Yu-Hui Wen;Lin Gao;Hongbo Fu;Fang-Lue Zhang

  • DeepFaceDrawing: deep generation of face images from sketches

    Shu-Yu Chen;Wanchao Su;Lin Gao;Shihong Xia

  • CytoTalk: De novo construction of signal transduction networks using single-cell transcriptomic data

    Yuxuan Hu;Tao Peng;Lin Gao;Kai Tan;Kai Tan

  • Inferring drug-disease associations based on known protein complexes

    Liang Yu;Jianbin Huang;Zhixin Ma;Jing Zhang

  • Evaluation and comparison of multi-omics data integration methods for cancer subtyping.

    Ran Duan;Lin Gao;Yong Gao;Yuxuan Hu

  • Automatic unpaired shape deformation transfer

    Lin Gao;Jie Yang;Yi-Ling Qiao;Yu-Kun Lai

  • A survey on deep geometry learning: From a representation perspective

    Yun-Peng Xiao;Yu-Kun Lai;Fang-Lue Zhang;Chunpeng Li

  • An optimization approach for extracting and encoding consistent maps in a shape collection

    Qi-Xing Huang;Guo-Xin Zhang;Lin Gao;Shi-Min Hu

  • Predicting Potential Drugs for Breast Cancer based on miRNA and Tissue Specificity.

    Liang Yu;Jin Zhao;Lin Gao

  • Prediction of human disease-related gene clusters by clustering analysis.

    Peng Gang Sun;Lin Gao;Shan Han

  • Biological network analysis: insights into structure and functions

    Xiaoke Ma;Lin Gao

  • 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics

    Huan Fu;Bowen Cai;Lin Gao;Lingxiao Zhang

Frequent Co-Authors

Yu-Kun Lai
Yu-Kun Lai Cardiff University
Hongbo Fu
Hongbo Fu City University of Hong Kong
Paul L. Rosin
Paul L. Rosin Cardiff University
Hao Zhang
Hao Zhang Simon Fraser University
Kai Tan
Kai Tan Children's Hospital of Philadelphia
Leif Kobbelt
Leif Kobbelt RWTH Aachen University
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Nikola Kasabov
Nikola Kasabov Auckland University of Technology
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Leonidas J. Guibas
Leonidas J. Guibas Stanford University

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