Hao Zhang

17.6k total citations · 9 hit papers
445 papers, 11.5k citations indexed

About

Hao Zhang is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hao Zhang has authored 445 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Molecular Biology, 130 papers in Immunology and 114 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hao Zhang's work include Ferroptosis and cancer prognosis (59 papers), Immune cells in cancer (49 papers) and Cancer Immunotherapy and Biomarkers (42 papers). Hao Zhang is often cited by papers focused on Ferroptosis and cancer prognosis (59 papers), Immune cells in cancer (49 papers) and Cancer Immunotherapy and Biomarkers (42 papers). Hao Zhang collaborates with scholars based in China, United States and United Kingdom. Hao Zhang's co-authors include Quan Cheng, Zeyu Wang, Ziyu Dai, Nan Zhang, Zhixiong Liu, Wantao Wu, Joy Joseph, Liyang Zhang, Balaraman Kalyanaraman and Shasi V. Kalivendi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hao Zhang

419 papers receiving 11.3k citations

Hit Papers

Superoxide reacts with hy... 2003 2026 2010 2018 2003 2022 2021 2023 2023 200 400 600
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. Superoxide reacts with hydroethidine but forms a fluorescent product that is distinctly different from ethidium: potential implications in intracellular fluorescence detection of superoxide
    2003 683 citations Hao Zhang et al. profile →
  2. Glioma targeted therapy: insight into future of molecular approaches
    2022 458 citations Hao Zhang, Nan Zhang et al. profile →
  3. Regulatory mechanisms of immune checkpoints PD-L1 and CTLA-4 in cancer
    2021 372 citations Hao Zhang, Ziyu Dai et al. profile →
  4. Define cancer-associated fibroblasts (CAFs) in the tumor microenvironment: new opportunities in cancer immunotherapy and advances in clinical trials
    2023 228 citations Hao Zhang, Wantao Wu et al. profile →
  5. Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance
    2023 217 citations Hao Zhang et al. profile →
  6. High-fat diet promotes renal injury by inducing oxidative stress and mitochondrial dysfunction
    2020 213 citations Hao Zhang et al. Cell Death and Disease profile →
  7. Immune checkpoint modulators in cancer immunotherapy: recent advances and emerging concepts
    2022 174 citations Hao Zhang, Zeyu Wang et al. profile →
  8. Tissue macrophages: origin, heterogenity, biological functions, diseases and therapeutic targets
    2025 77 citations Zaoqu Liu, Hao Zhang et al. profile →
  9. Regulation of cellular senescence in tumor progression and therapeutic targeting: mechanisms and pathways
    2025 23 citations Hao Zhang, Nan Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Zhang China 48 4.8k 3.1k 3.0k 2.6k 1.8k 445 11.5k
Peng Zhang China 54 5.9k 1.2× 2.4k 0.8× 2.7k 0.9× 3.3k 1.3× 1.1k 0.6× 448 11.6k
Yi Li China 65 9.7k 2.0× 3.5k 1.1× 5.4k 1.8× 3.2k 1.2× 1.6k 0.9× 695 19.1k
Li Li China 48 4.7k 1.0× 1.2k 0.4× 2.1k 0.7× 1.4k 0.6× 1.5k 0.8× 420 9.9k
Lucio Miele United States 79 10.8k 2.2× 2.9k 0.9× 5.4k 1.8× 3.6k 1.4× 1.8k 1.0× 276 18.2k
Michele Caraglia Italy 65 7.4k 1.5× 1.5k 0.5× 5.0k 1.7× 3.2k 1.2× 2.1k 1.1× 488 16.0k
Jane B. Trepel United States 74 11.8k 2.4× 2.2k 0.7× 4.4k 1.5× 3.2k 1.2× 2.2k 1.2× 290 17.6k
Xuelei Ma China 48 3.7k 0.8× 1.6k 0.5× 3.4k 1.1× 1.7k 0.7× 1.9k 1.1× 313 10.5k
David R. Spriggs United States 62 4.2k 0.9× 3.0k 0.9× 4.9k 1.6× 1.2k 0.5× 1.9k 1.0× 230 13.0k
Li Yu China 47 4.8k 1.0× 1.6k 0.5× 2.0k 0.7× 1.8k 0.7× 939 0.5× 410 9.1k
Daniel E. Johnson United States 46 8.4k 1.7× 2.2k 0.7× 4.3k 1.5× 2.3k 0.9× 1.5k 0.8× 133 13.6k

Countries citing papers authored by Hao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Zhang. A scholar is included among the top collaborators of Hao 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 Hao Zhang. Hao 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.
Zhu, Jiang, et al.. (2025). The Relationship Between Preoperative Neutrophil–Lymphocyte Ratio and Postoperative Length of Stay in Carotid Body Tumor Resection. International Journal of Genomics. 2025(1). 5431545–5431545.
2.
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Xie, Duo, Wen‐Fang Tang, Tao Jiang, et al.. (2025). Deciphering genomic evolution of metastatic organotropism with 535 paired primary lung cancers and metastases. Cell Reports. 44(10). 116449–116449.
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Yuan, Cai, et al.. (2023). Association between dietary vitamin C and telomere length: A cross-sectional study. Frontiers in Nutrition. 10. 1025936–1025936. 15 indexed citations
6.
7.
Zheng, Haihong, Hao Zhang, Lingxu Li, et al.. (2023). Spermidine Alleviates Intrauterine Hypoxia-Induced Offspring Newborn Myocardial Mitochondrial Damage in Rats by Inhibiting Oxidative Stress and Regulating Mitochondrial Quality Control. Iranian journal of pharmaceutical research. 21(1). e133776–e133776. 4 indexed citations
8.
Tian, Chunyan, Hao Zhang, Haoyu Wang, et al.. (2023). Punicalagin protects against impaired skeletal muscle function in high-fat-diet-induced obese mice by regulating TET2. Food & Function. 14(7). 3126–3138. 5 indexed citations
9.
Wang, Zeyu, Ziyu Dai, Hao Zhang, et al.. (2023). Tumor-secreted lactate contributes to an immunosuppressive microenvironment and affects CD8 T-cell infiltration in glioblastoma. Frontiers in Immunology. 14. 894853–894853. 23 indexed citations
10.
Luo, Hong, Hao Zhang, Jinning Mao, et al.. (2023). Exosome-based nanoimmunotherapy targeting TAMs, a promising strategy for glioma. Cell Death and Disease. 14(4). 235–235. 40 indexed citations
11.
12.
Zhang, Hao, Nan Zhang, Ziyu Dai, et al.. (2022). Hyaluronic acids mediate the infiltration, migration, and M2 polarization of macrophages: evaluating metabolic molecular phenotypes in gliomas. Molecular Oncology. 16(22). 3927–3948. 13 indexed citations
13.
Feng, Songshan, Jing Li, Fan Fan, et al.. (2022). Prognostic Factors and Treatment Strategies for Elderly Patients with Malignant Meningioma: A SEER Population-Based Study. Frontiers in Oncology. 12. 913254–913254. 7 indexed citations
14.
Liu, Gang, et al.. (2022). Expression analysis of cytokines IL-5, IL-6, IL-8, IL-17 and VEGF in breast cancer patients. Frontiers in Oncology. 12. 1019247–1019247. 11 indexed citations
15.
Liang, Xisong, Zeyu Wang, Ziyu Dai, et al.. (2022). Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy. Cancer Gene Therapy. 30(3). 481–496. 20 indexed citations
16.
Ma, Ding, Senquan Liu, Bachchu Lal, et al.. (2019). Extracellular Matrix Protein Tenascin C Increases Phagocytosis Mediated by CD47 Loss of Function in Glioblastoma. Cancer Research. 79(10). 2697–2708. 60 indexed citations
17.
Heyza, Joshua, Donovan Watza, Hao Zhang, et al.. (2018). Identification and Characterization of Synthetic Viability with ERCC1 Deficiency in Response to Interstrand Crosslinks in Lung Cancer. Clinical Cancer Research. 25(8). 2523–2536. 24 indexed citations
18.
Lu, Junyan, Hanlin Zeng, Zhongjie Liang, et al.. (2015). Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets. Scientific Reports. 5(1). 14739–14739. 38 indexed citations
19.
Zhang, Yanwei, Yeqing Tong, Yong Zhang, et al.. (2013). Two Novel Susceptibility SNPs for Ischemic Stroke Using Exome Sequencing in Chinese Han Population. Molecular Neurobiology. 49(2). 852–862. 17 indexed citations
20.
Chase, Amanda J., Hung‐Chih Yang, Hao Zhang, Joel N. Blankson, & Robert F. Siliciano. (2008). Preservation of FoxP3 + Regulatory T Cells in the Peripheral Blood of Human Immunodeficiency Virus Type 1-Infected Elite Suppressors Correlates with Low CD4 + T-Cell Activation. Journal of Virology. 82(17). 8307–8315. 103 indexed citations

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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