Jin Gu

About Jin Gu

Jin Gu, With an exceptional h-index of 23 and a recent h-index of 20 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Bioinformatics, Machine Learning, Engieering Oncology, Precision Oncology.

His recent articles reflect a diverse array of research interests and contributions to the field:

A patient-specific lung cancer assembloid model with heterogeneous tumor microenvironments

Deep whole-genome analysis of 494 hepatocellular carcinomas

Region-specific cellular and molecular basis of liver regeneration after acute pericentral injury

HCCDB v2. 0: Decompose expression variations by single-cell RNA-seq and spatial transcriptomics in HCC

scCancer2: data-driven in-depth annotations of the tumor microenvironment at single-level resolution

The spatial and single-cell analysis reveals remodeled immune microenvironment induced by synthetic oncolytic adenovirus treatment

STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning

Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors

Jin Gu Information

University

Position

Department of Automation

Citations(all)

2662

Citations(since 2020)

1784

Cited By

1474

hIndex(all)

23

hIndex(since 2020)

20

i10Index(all)

34

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Jin Gu Skills & Research Interests

Bioinformatics

Machine Learning

Engieering Oncology

Precision Oncology

Top articles of Jin Gu

A patient-specific lung cancer assembloid model with heterogeneous tumor microenvironments

Nature Communications

2024/4/20

Region-specific cellular and molecular basis of liver regeneration after acute pericentral injury

Cell Stem Cell

2024/3/7

HCCDB v2. 0: Decompose expression variations by single-cell RNA-seq and spatial transcriptomics in HCC

Genomics, Proteomics & Bioinformatics

2024/2/3

scCancer2: data-driven in-depth annotations of the tumor microenvironment at single-level resolution

Bioinformatics

2024/2/1

The spatial and single-cell analysis reveals remodeled immune microenvironment induced by synthetic oncolytic adenovirus treatment

Cancer Letters

2024/1/28

STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning

Communications Biology

2024/1/6

Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors

Genome Medicine

2024/1/2

Creating a semi-opened micro-cavity ovary through sacrificial microspheres as an in vitro model for discovering the potential effect of ovarian toxic agents

Bioactive Materials

2023/8/1

Single-cell and spatially resolved transcriptomics for liver biology

2023/4/3

Deficiency of carbamoyl phosphate synthetase 1 engenders radioresistance in hepatocellular carcinoma via deubiquitinating c-Myc

International Journal of Radiation Oncology* Biology* Physics

2023/4/1

Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma

Nature Communications

2023/3/16

uniLIVER: a Human Liver Cell Atlas for Data-Driven Cellular State Mapping

bioRxiv

2023

scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes

2023/12/21

Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics

Briefings in Bioinformatics

2023/11/1

Building digital life systems for future biology and medicine

Quantitative Biology

2023/9

TIST: Transcriptome and Histopathological Image Integrative Analysis for Spatial Transcriptomics

Genomics, Proteomics and Bioinformatics

2022/10

Highly Regional Genes: graph-based gene selection for single cell RNA-seq data

Journal of Genetics and Genomics

2022/9/1

3D Bioprinted GelMA‐Nanoclay Hydrogels Induce Colorectal Cancer Stem Cells Through Activating Wnt/β‐Catenin Signaling

Small

2022/5

JEBIN: analyzing gene co-expressions across multiple datasets by joint network embedding

Briefings in Bioinformatics

2022/3

See List of Professors in Jin Gu University(Tsinghua University)

Co-Authors

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