Jin Hao

2.3k total citations · 1 hit paper
73 papers, 1.7k citations indexed

About

Jin Hao is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Jin Hao has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Cancer Research and 10 papers in Biomedical Engineering. Recurrent topics in Jin Hao's work include Cancer-related molecular mechanisms research (7 papers), Cellular Mechanics and Interactions (5 papers) and Regulation of Appetite and Obesity (5 papers). Jin Hao is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Cellular Mechanics and Interactions (5 papers) and Regulation of Appetite and Obesity (5 papers). Jin Hao collaborates with scholars based in China, United States and Singapore. Jin Hao's co-authors include Zhihe Zhao, Xin Jin, Dian Jing, Yueling Zhang, Yu Shen, Juan Li, Shishu Huang, Rui Ye, Ge Tang and Zhiqiong Li and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Jin Hao

68 papers receiving 1.7k citations

Hit Papers

Antisense oligonucleotide therapeutic approach for Timoth... 2024 2026 2025 2024 10 20 30 40 50
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. Antisense oligonucleotide therapeutic approach for Timothy syndrome
    2024 56 citations Xiaoyu Chen, Fikri Birey et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Hao China 26 730 338 287 195 157 73 1.7k
Qingjun Zhou China 35 870 1.2× 285 0.8× 189 0.7× 167 0.9× 163 1.0× 176 3.5k
Mona Dvir‐Ginzberg Israel 24 706 1.0× 397 1.2× 305 1.1× 134 0.7× 155 1.0× 48 2.1k
Takahiro Suzuki Japan 25 800 1.1× 101 0.3× 197 0.7× 133 0.7× 132 0.8× 81 2.1k
Yehua Gan China 28 1.1k 1.5× 520 1.5× 167 0.6× 138 0.7× 118 0.8× 66 2.4k
Celeste B. Rich United States 31 959 1.3× 331 1.0× 206 0.7× 299 1.5× 53 0.3× 82 2.3k
Kazuo Oshima Japan 25 802 1.1× 192 0.6× 140 0.5× 99 0.5× 241 1.5× 72 2.3k
Csaba Matta Hungary 24 603 0.8× 134 0.4× 249 0.9× 130 0.7× 232 1.5× 64 1.9k
Jian Huang United States 29 2.0k 2.7× 643 1.9× 409 1.4× 240 1.2× 139 0.9× 76 3.7k

Countries citing papers authored by Jin Hao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Hao. A scholar is included among the top collaborators of Jin Hao 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 Jin Hao. Jin Hao 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.
Hao, Jin, Yuanzheng Li, Бо Лю, et al.. (2025). A coral-inspired and fully self-powered wave monitoring system based on hybridized triboelectric-electromagnetic nanogenerator. Sensors and Actuators A Physical. 387. 116451–116451. 1 indexed citations
2.
Hao, Jin, et al.. (2025). A multi-point focus transformer approach for large-scale ALS point cloud ground filtering. International Journal of Remote Sensing. 46(3). 979–999. 1 indexed citations
3.
Tan, Xiaofeng, Ying Li, Jin Hao, et al.. (2025). Metformin-induced precise targeted inhibition of ischemic neuronal death by a programable endogenous ROS-responsive nanoprodrug. Chemical Engineering Journal. 512. 162106–162106.
4.
Wang, Rijun, et al.. (2025). DRR-YOLO: A Multiscale Wood Surface Defect Detection Method Based on Improved YOLOv8. IEEE Sensors Journal. 25(10). 16702–16719.
5.
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7.
Meng, Zijie, Yan Feng, Jin Hao, et al.. (2024). LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding. IEEE Transactions on Visualization and Computer Graphics. 31(9). 4805–4820. 1 indexed citations
8.
Chen, Xiaoyu, Fikri Birey, Min-Yin Li, et al.. (2024). Antisense oligonucleotide therapeutic approach for Timothy syndrome. Nature. 628(8009). 818–825. 56 indexed citations breakdown →
9.
Hao, Jin, Wei Pan, Jianfei Yang, et al.. (2023). Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction. Patterns. 4(9). 100825–100825. 35 indexed citations
10.
Hu, Tianxiang, et al.. (2023). Parameter-Efficient Transfer Learning for Medical Visual Question Answering. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2816–2826. 15 indexed citations
11.
Liu, Zuozhu, et al.. (2022). Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. IEEE Transactions on Medical Imaging. 42(2). 467–480. 22 indexed citations
12.
Lei, Xing, Kewei Wang, Jin Hao, et al.. (2021). Recognize the role of CD146/MCAM in the osteosarcoma progression: an in vitro study. Cancer Cell International. 21(1). 300–300. 8 indexed citations
13.
Zhang, Yueling, et al.. (2018). Systemic Injection of Substance P Promotes Murine Calvarial Repair Through Mobilizing Endogenous Mesenchymal Stem Cells. Scientific Reports. 8(1). 12996–12996. 8 indexed citations
14.
15.
Jin, Xin, et al.. (2017). Long Non-Coding RNA KCNQ1OT1 Promotes Cataractogenesis via miR-214 and Activation of the Caspase-1 Pathway. Cellular Physiology and Biochemistry. 42(1). 295–305. 56 indexed citations
16.
Wang, Hong, Xin Zhang, Jin Hao, et al.. (2016). Molecular characterization and expression analysis of Hsp90 in Schizothorax prenanti. Cell Stress and Chaperones. 21(6). 983–991. 16 indexed citations
17.
Zhang, Xin, Yuanbing Wu, Jin Hao, et al.. (2016). Intraperitoneal injection urocortin-3 reduces the food intake of Siberian sturgeon ( Acipenser baerii ). Peptides. 85. 80–88. 30 indexed citations
18.
Hao, Jin, Yueling Zhang, Dian Jing, et al.. (2013). Role of Hippo Signaling in Cancer Stem Cells. Journal of Cellular Physiology. 229(3). 266–270. 41 indexed citations
19.
Yuan, Hongfeng, Hong Huang, Xiangyun Li, et al.. (2012). A Dual AP-1 and SMAD Decoy ODN Suppresses Tissue Fibrosis and Scarring in Mice. Journal of Investigative Dermatology. 133(4). 1080–1087. 15 indexed citations
20.
Niu, Lili & Jin Hao. (2009). Rosiglitazone inhibition of A375 human malignant melanoma cell invasion.. Chinese Journal of Dermatology. 42(12). 831–834. 1 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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