Xinbin Zhao

1.6k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Xinbin Zhao is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Xinbin Zhao has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Xinbin Zhao's work include Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Immune Cell Function and Interaction (2 papers). Xinbin Zhao is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Immune Cell Function and Interaction (2 papers). Xinbin Zhao collaborates with scholars based in China, United States and Bulgaria. Xinbin Zhao's co-authors include Ligong Chen, Wenhua Kuang, Yanqing Zhang, Yunan Luo, Jian Peng, Jianyang Zeng, Jinglin Yang, Jingtian Zhou, Wenxin Song and Bin Zhang and has published in prestigious journals such as Nature Communications, Immunity and The Journal of Immunology.

In The Last Decade

Xinbin Zhao

16 papers receiving 1.0k citations

Hit Papers

A network integration approach for drug-target interactio... 2017 2026 2020 2023 2017 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. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
    2017 635 citations Yunan Luo, Xinbin Zhao et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinbin Zhao China 10 735 525 143 97 67 18 1.0k
Tina Garyantes United States 10 734 1.0× 390 0.7× 121 0.8× 69 0.7× 33 0.5× 16 1.3k
Felix Krüger United Kingdom 8 1.2k 1.6× 970 1.8× 216 1.5× 73 0.8× 70 1.0× 11 1.9k
Elena Cibrián–Uhalte Germany 7 1.1k 1.5× 1.1k 2.1× 314 2.2× 71 0.7× 46 0.7× 9 1.8k
Shuyu Zheng China 14 600 0.8× 246 0.5× 62 0.4× 57 0.6× 115 1.7× 36 1.0k
C. Mak China 3 1.1k 1.4× 807 1.5× 78 0.5× 46 0.5× 78 1.2× 3 1.5k
Xiaojian Wang China 22 622 0.8× 156 0.3× 94 0.7× 201 2.1× 115 1.7× 77 1.5k
Neel S. Madhukar United States 11 523 0.7× 255 0.5× 103 0.7× 79 0.8× 195 2.9× 28 1.2k
Ziaurrehman Tanoli Finland 10 541 0.7× 349 0.7× 40 0.3× 46 0.5× 74 1.1× 24 851
Xuejiao Cui China 10 1.0k 1.4× 349 0.7× 36 0.3× 56 0.6× 145 2.2× 14 1.5k

Countries citing papers authored by Xinbin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xinbin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinbin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinbin Zhao. A scholar is included among the top collaborators of Xinbin Zhao 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 Xinbin Zhao. Xinbin Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Shijiang, Xin Zhang, Yifan Han, et al.. (2025). The biomechanical signature of tumor invasion. Genes & Diseases. 13(1). 101771–101771.
2.
3.
Liu, Ye, Wenna Chi, Lei Tao, et al.. (2022). Ablation of Proton/Glucose Exporter SLC45A2 Enhances Melanosomal Glycolysis to Inhibit Melanin Biosynthesis and Promote Melanoma Metastasis. Journal of Investigative Dermatology. 142(10). 2744–2755.e9. 11 indexed citations
4.
Zhao, Xinbin, Yunping Chen, Min Tan, et al.. (2021). Extracellular Matrix Stiffness Regulates DNA Methylation by PKCα‐Dependent Nuclear Transport of DNMT3L. Advanced Healthcare Materials. 10(16). e2100821–e2100821. 18 indexed citations
5.
Zhao, Xinbin, Yunping Chen, Min Tan, et al.. (2021). Extracellular Matrix Stiffness Regulates DNA Methylation by PKCα‐Dependent Nuclear Transport of DNMT3L (Adv. Healthcare Mater. 16/2021). Advanced Healthcare Materials. 10(16). 2 indexed citations
6.
Ma, Tuo, Huiju Li, Hongliang Ren, et al.. (2020). [Different Energy Spectrum CT Findings between Anterior Mediastinal Lymphoma and Thymic Carcinoma].. PubMed. 42(4). 431–435. 1 indexed citations
7.
Fang, Fang, Riquan Zhang, & Xinbin Zhao. (2020). An Aggregated Evaluation and Multi-dimensional Comparison Method of Flight Safety Based on QAR Data. 145–149. 2 indexed citations
8.
Zhang, Yubo, Nan Wang, Yufeng Chen, et al.. (2020). Hypergraph Label Propagation Network. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6885–6892. 12 indexed citations
9.
Ji, Liangliang, Xinbin Zhao, Bin Zhang, et al.. (2019). Slc6a8-Mediated Creatine Uptake and Accumulation Reprogram Macrophage Polarization via Regulating Cytokine Responses. Immunity. 51(2). 272–284.e7. 171 indexed citations
10.
Ji, Liangliang, Xinbin Zhao, Bin Zhang, et al.. (2019). Creatine shapes macrophage polarization by reprogramming L-arginine metabolism. The Journal of Immunology. 202(1_Supplement). 58.5–58.5. 2 indexed citations
11.
Luo, Yunan, Xinbin Zhao, Jingtian Zhou, et al.. (2017). A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information.. RePEc: Research Papers in Economics. 383–384. 1 indexed citations
12.
13.
Luo, Yunan, Xinbin Zhao, Jingtian Zhou, et al.. (2017). A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. Nature Communications. 8(1). 573–573. 635 indexed citations breakdown →
14.
Yang, Hong, et al.. (2017). Simvastatin ameliorates ionizing radiation-induced apoptosis in the thymus by activating the AKT/sirtuin 1 pathway in mice. International Journal of Molecular Medicine. 40(3). 762–770. 12 indexed citations
15.
Tang, Haiping, Lina Xu, Xiaorong Ran, et al.. (2016). Establishment of local searching methods for orbitrap-based high throughput metabolomics analysis. Talanta. 156-157. 163–171. 71 indexed citations
16.
Ung, Peter M.U., Wenxin Song, Lili Cheng, et al.. (2016). Inhibitor Discovery for the Human GLUT1 from Homology Modeling and Virtual Screening. ACS Chemical Biology. 11(7). 1908–1916. 43 indexed citations
17.
Zhao, Xinbin, et al.. (2016). Impact of Myocardial Bridge-mural Coronary Artery on Myocardial Blood Supply.. PubMed. 38(6). 654–659.
18.
Chen, Ji‐Kuai, Zhangpeng Li, Yun‐Zi Liu, et al.. (2014). Activation of Alpha 7 Nicotinic Acetylcholine Receptor Protects Mice from Radiation-Induced Intestinal Injury and Mortality. Radiation Research. 181(6). 666–666. 9 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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