Hai Zhu

1.7k total citations
64 papers, 1.2k citations indexed

About

Hai Zhu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hai Zhu has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Hai Zhu's work include Cancer-related molecular mechanisms research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Hai Zhu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Hai Zhu collaborates with scholars based in China, Madagascar and United States. Hai Zhu's co-authors include Yongqi Yan, Jahan S. Khalili, Yake Liu, Haixing Zhu, Zhifeng Gu, Shusen Zheng, Yi Jin, Chen Dong, Min Xu and Juan Ji and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Hai Zhu

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Zhu China 20 547 258 208 139 136 64 1.2k
Chao Tu China 26 975 1.8× 484 1.9× 449 2.2× 181 1.3× 259 1.9× 117 2.3k
Mayank Saraswat Finland 18 826 1.5× 249 1.0× 58 0.3× 86 0.6× 72 0.5× 59 1.2k
Qi Sun China 20 434 0.8× 140 0.5× 260 1.3× 100 0.7× 178 1.3× 71 1.1k
Xiaoke Hao China 20 571 1.0× 301 1.2× 176 0.8× 45 0.3× 132 1.0× 77 1.3k
Dongsheng Wang China 19 403 0.7× 94 0.4× 668 3.2× 124 0.9× 125 0.9× 49 1.6k
Carmen C. Diaconu Romania 21 616 1.1× 291 1.1× 65 0.3× 55 0.4× 151 1.1× 103 1.4k
Jiaqi Zhu United States 19 365 0.7× 163 0.6× 136 0.7× 104 0.7× 232 1.7× 51 1000
Xiang Meng China 15 680 1.2× 288 1.1× 56 0.3× 51 0.4× 78 0.6× 28 1.1k
Kun Pang China 17 565 1.0× 196 0.8× 66 0.3× 63 0.5× 88 0.6× 57 1.1k

Countries citing papers authored by Hai Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Zhu. A scholar is included among the top collaborators of Hai Zhu 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 Hai Zhu. Hai Zhu 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.
Gan, Siew Hua, et al.. (2025). Role and Mechanism of Olfactory Stem Cells in the Treatment of Olfactory Disorders. Stem Cells International. 2025(1). 6631857–6631857. 1 indexed citations
2.
Zhu, Hai, Hao Peng, Xianglan Li, et al.. (2024). Phosphorylation of PIP2;7 by CPK28 or Phytophthora kinase effectors dampens pattern-triggered immunity in Arabidopsis. Plant Communications. 6(1). 101135–101135. 4 indexed citations
3.
Zhu, Xiaodong, et al.. (2023). Prognostic significance of post-preoperative tumor markers increments in patients with non-metastatic gastric cancer. Journal of Cancer Research and Clinical Oncology. 149(13). 12191–12201. 5 indexed citations
4.
Wang, Wei, Chunhui Ye, Jilong Wang, et al.. (2023). CD4+CD25+ regulatory T cells decreased future liver remnant after associating liver partition and portal vein ligation for staged hepatectomy. World Journal of Gastrointestinal Surgery. 15(5). 917–930. 2 indexed citations
5.
Song, Guangyuan, Xiaoyi Hu, Hai Zhu, et al.. (2022). Asialoglycoprotein Receptor 1 Functions as a Tumor Suppressor in Liver Cancer via Inhibition of STAT3. Cancer Research. 82(21). 3987–4000. 20 indexed citations
6.
Wang, Wei, Jilong Wang, Ling Zhang, et al.. (2022). Change of tumor-infiltrating lymphocyte of associating liver partition and portal vein ligation for staged hepatectomy for hepatocellular carcinoma. World Journal of Gastrointestinal Surgery. 14(9). 1008–1025. 1 indexed citations
7.
Zhu, Haixing, Gang Wang, Hai Zhu, et al.. (2022). Preoperative prediction for lymph node metastasis in early gastric cancer by interpretable machine learning models: A multicenter study. Surgery. 171(6). 1543–1551. 28 indexed citations
8.
Qin, Qiaohong, Xiang Gao, Min Zhang, et al.. (2022). CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer. PLoS ONE. 17(1). e0262000–e0262000.
9.
Wang, Hongfeng, Hai Zhu, & Lihua Ding. (2022). Accurate classification of lung nodules on CT images using the TransUnet. Frontiers in Public Health. 10. 1060798–1060798. 15 indexed citations
10.
Zhu, Hai, Gang Wang, Qikai Sun, Haixing Zhu, & A Xu. (2021). Elevation of TRIM44 potentiates propagation of gastric cancer stem cells. Genes & Diseases. 9(5). 1156–1159. 3 indexed citations
11.
Zhu, Hai, Gang Wang, Haixing Zhu, & Aman Xu. (2021). MTFR2, A Potential Biomarker for Prognosis and Immune Infiltrates, Promotes Progression of Gastric Cancer Based on Bioinformatics Analysis and Experiments. Journal of Cancer. 12(12). 3611–3625. 15 indexed citations
12.
Liu, Zhengtao, Hai Zhu, Wenchao Wang, et al.. (2020). Metabonomic Profile of Macrosteatotic Allografts for Orthotopic Liver Transplantation in Patients With Initial Poor Function: Mechanistic Investigation and Prognostic Prediction. Frontiers in Cell and Developmental Biology. 8. 826–826. 7 indexed citations
13.
Zhu, Hai, Kaili Wang, Nan Zhang, et al.. (2019). The novel circCLK3/miR-320a/FoxM1 axis promotes cervical cancer progression. Cell Death and Disease. 10(12). 950–950. 77 indexed citations
14.
Liu, Peng, Di Lu, Xuyong Wei, et al.. (2019). Glutamine synthetase promotes tumor invasion in hepatocellular carcinoma through mediating epithelial–mesenchymal transition. Hepatology Research. 50(2). 246–257. 27 indexed citations
15.
Wang, Liqin, et al.. (2017). Establishment of a murine pancreatic cancer pain model and microarray analysis of pain-associated genes in the spinal cord dorsal horn. Molecular Medicine Reports. 16(4). 4429–4436. 9 indexed citations
16.
Liu, Yake, et al.. (2017). Endoplasmic reticulum stress participates in the progress of senescence and apoptosis of osteoarthritis chondrocytes. Biochemical and Biophysical Research Communications. 491(2). 368–373. 45 indexed citations
18.
Wang, Jing, Ying Yang, Shan Wu, et al.. (2015). Expression of serum sCD163 in patients with liver diseases and inflammatory disorders.. PubMed. 8(7). 8419–25. 6 indexed citations
19.
Yu, Li, et al.. (2012). Low doses of esmolol and phenylephrine act as diuretics during intravenous anesthesia. Critical Care. 16(1). R18–R18. 26 indexed citations
20.
Mo, Qiuhua, Hai Zhu, Liyan Li, & Xiangmin Xu. (2004). Reliable and High-Throughput Mutation Screening for β-Thalassemia by a Single-Base Extension/Fluorescence Polarization Assay. Genetic Testing. 8(3). 257–262. 3 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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