Gao Zhang

11.9k total citations · 2 hit papers
66 papers, 2.1k citations indexed

About

Gao Zhang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gao Zhang has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Gao Zhang's work include Cancer Immunotherapy and Biomarkers (9 papers), Heat shock proteins research (6 papers) and Immune cells in cancer (6 papers). Gao Zhang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Heat shock proteins research (6 papers) and Immune cells in cancer (6 papers). Gao Zhang collaborates with scholars based in China, United States and Hong Kong. Gao Zhang's co-authors include Meenhard Herlyn, Zhi Wei, Eytan Ruppin, Joo Sang Lee, Xiaowei Xu, Keith T. Flaherty, Benchun Miao, Dennie T. Frederick, Ryan J. Sullivan and Genevieve M. Boland and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Gao Zhang

62 papers receiving 2.1k citations

Hit Papers

Enhancing CD8+ T Cell Fatty Acid Catabolism within a Meta... 2017 2026 2020 2023 2017 2018 100 200 300 400
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.

  1. Enhancing CD8+ T Cell Fatty Acid Catabolism within a Metabolically Challenging Tumor Microenvironment Increases the Efficacy of Melanoma Immunotherapy
    2017 481 citations Gao Zhang, Xiaowei Xu et al. profile →
  2. Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
    2018 456 citations Noam Auslander, Gao Zhang et al. Nature Medicine profile →

Peers

Gao Zhang
Dayana B. Rivadeneira United States
Srinivas Malladi United States
Jinyang Li United States
Martin Augsten Sweden
Lisha Xiang China
Chao Chen China
Alicia S. Chung United States
Catharina Hagerling Sweden
Christian D. Young United States
Dayana B. Rivadeneira United States
Gao Zhang
Citations per year, relative to Gao Zhang Gao Zhang (= 1×) peers Dayana B. Rivadeneira

Countries citing papers authored by Gao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Gao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Gao Zhang. A scholar is included among the top collaborators of Gao Zhang 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 Gao Zhang. Gao Zhang 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.
Zhang, Jin, et al.. (2024). System reliability analysis of Cable-stayed bridge using pair Copula and ICLHS with unequal weights under seismic loading. Structures. 64. 106607–106607. 5 indexed citations
2.
Xie, Yuan, Guangyin Zhao, Zhen Zeng, et al.. (2024). Effect of the mRNA decapping enzyme scavenger (DCPS) inhibitor RG3039 on glioblastoma. Journal of Translational Medicine. 22(1). 880–880. 1 indexed citations
3.
Hu, Binbin, Guihong Liu, Kejia Zhao, & Gao Zhang. (2024). Diversity of extracellular HSP70 in cancer: advancing from a molecular biomarker to a novel therapeutic target. Frontiers in Oncology. 14. 1388999–1388999. 13 indexed citations
4.
Tang, Yuting, Li Yang, Ying Meng, et al.. (2023). MiR-200b-5p inhibits tumor progression in salivary adenoid cystic carcinoma via targeting BTBD1. Cellular Signalling. 109. 110748–110748. 1 indexed citations
5.
Li, Fali, Shu Zhang, Lin Jiang, et al.. (2023). Recognition of autism spectrum disorder in children based on electroencephalogram network topology. Cognitive Neurodynamics. 18(3). 1033–1045. 5 indexed citations
6.
Zhao, Kejia, Yu Liu, Jian Zhang, et al.. (2023). HSP70 Family in Cancer: Signaling Mechanisms and Therapeutic Advances. Biomolecules. 13(4). 601–601. 33 indexed citations
7.
Ji, Hong, Jie Guo, Gao Zhang, et al.. (2023). Multi-Factor Coupling Analysis of Porous Leakage in Underwater Gas Pipelines. Processes. 11(4). 1259–1259. 5 indexed citations
8.
Tang, Yuting, Tianhua Zhou, Li Yang, et al.. (2023). Exosomes derived from mesenchymal stromal cells promote bone regeneration by delivering miR-182–5p-inhibitor. Pharmacological Research. 192. 106798–106798. 25 indexed citations
9.
Wu, Guodong, et al.. (2022). Establishment of lung adenocarcinoma classification and risk model based on necroptosis-related genes. Frontiers in Genetics. 13. 1037011–1037011. 4 indexed citations
10.
He, Chong, Gao Zhang, Rui Zhang, et al.. (2022). Clinical Significance of Albumin‐ and Bilirubin‐Based Biomarkers in Glaucoma: A Retrospective Case‐Control Study. Oxidative Medicine and Cellular Longevity. 2022(1). 8063651–8063651. 7 indexed citations
11.
Atay, Çiğdem, Taekyoung Kwak, Sergio Lavilla-Alonso, et al.. (2019). BRAF Targeting Sensitizes Resistant Melanoma to Cytotoxic T Cells. Clinical Cancer Research. 25(9). 2783–2794. 26 indexed citations
12.
Kwon, So Mee, Anuradha Budhu, Hyun Goo Woo, et al.. (2019). Functional Genomic Complexity Defines Intratumor Heterogeneity and Tumor Aggressiveness in Liver Cancer. Scientific Reports. 9(1). 16930–16930. 14 indexed citations
13.
Simpkins, Fiona, Kibeom Jang, Hyunho Yoon, et al.. (2018). Dual Src and MEK Inhibition Decreases Ovarian Cancer Growth and Targets Tumor Initiating Stem-Like Cells. Clinical Cancer Research. 24(19). 4874–4886. 57 indexed citations
14.
Huang, Ming, et al.. (2018). A Targeted Quantitative Proteomic Approach Assesses the Reprogramming of Small GTPases during Melanoma Metastasis. Cancer Research. 78(18). 5431–5445. 16 indexed citations
15.
Auslander, Noam, Gao Zhang, Joo Sang Lee, et al.. (2018). Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma. Nature Medicine. 24(10). 1545–1549. 456 indexed citations breakdown →
16.
Zhang, Dongmei, Gao Zhang, Zhongyi Hu, et al.. (2017). Oncogenic RAS Regulates Long Noncoding RNA Orilnc1 in Human Cancer. Cancer Research. 77(14). 3745–3757. 29 indexed citations
17.
Pytel, Dariusz, Yan Gao, Yuliya V. Katlinskaya, et al.. (2016). PERK Is a Haploinsufficient Tumor Suppressor: Gene Dose Determines Tumor-Suppressive Versus Tumor Promoting Properties of PERK in Melanoma. PLoS Genetics. 12(12). e1006518–e1006518. 39 indexed citations
18.
Miller, Philip C., Dorraya El‐Ashry, Jun Sun, et al.. (2015). MAPK Activation Predicts Poor Outcome and the MEK Inhibitor, Selumetinib, Reverses Antiestrogen Resistance in ER-Positive High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 22(4). 935–947. 46 indexed citations
19.
Balaburski, Gregor M., Julia I-Ju Leu, Neil Beeharry, et al.. (2013). A Modified HSP70 Inhibitor Shows Broad Activity as an Anticancer Agent. Molecular Cancer Research. 11(3). 219–229. 80 indexed citations
20.

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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