Lu Zhao

1.4k total citations · 1 hit paper
32 papers, 911 citations indexed

About

Lu Zhao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Lu Zhao has authored 32 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 6 papers in Materials Chemistry. Recurrent topics in Lu Zhao's work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (6 papers) and Genetic and Kidney Cyst Diseases (4 papers). Lu Zhao is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (6 papers) and Genetic and Kidney Cyst Diseases (4 papers). Lu Zhao collaborates with scholars based in China, Taiwan and United States. Lu Zhao's co-authors include Calvin Yu‐Chian Chen, Ziduo Yang, Weihe Zhong, Shiaulou Yuan, Zhaoxia Sun, Martina Brueckner, Guanxing Chen, Suresh Karne, Thomas R. Kolodecik and Fred S. Gorelick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Development.

In The Last Decade

Lu Zhao

32 papers receiving 899 citations

Hit Papers

MGraphDTA: deep multiscale graph neural network for expla... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Zhao China 16 580 379 167 130 79 32 911
Wenhui Wang China 16 703 1.2× 323 0.9× 63 0.4× 85 0.7× 31 0.4× 57 1.3k
Jiangming Sun Sweden 16 414 0.7× 183 0.5× 95 0.6× 36 0.3× 33 0.4× 51 750
Jia Qu China 21 1.5k 2.6× 238 0.6× 46 0.3× 50 0.4× 51 0.6× 56 1.9k
Jianbo Fu China 17 806 1.4× 223 0.6× 30 0.2× 67 0.5× 90 1.1× 28 1.2k
Xuejiao Cui China 10 1.0k 1.8× 349 0.9× 36 0.2× 47 0.4× 67 0.8× 14 1.5k
Zhining Wen China 17 1.2k 2.1× 297 0.8× 38 0.2× 53 0.4× 39 0.5× 70 1.5k
Xin Shao China 17 1.1k 1.9× 100 0.3× 61 0.4× 72 0.6× 76 1.0× 44 1.5k
Minjie Mou China 14 664 1.1× 284 0.7× 72 0.4× 25 0.2× 43 0.5× 30 941
Xuwen Wang China 16 409 0.7× 130 0.3× 95 0.6× 77 0.6× 78 1.0× 72 863
Jyothi Subramanian India 9 299 0.5× 168 0.4× 40 0.2× 29 0.2× 20 0.3× 9 602

Countries citing papers authored by Lu Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lu Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Zhao. A scholar is included among the top collaborators of Lu 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 Lu Zhao. Lu Zhao 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.
Ren, Mengyuan, Tao Wu, Shuo Yang, et al.. (2025). Using Environmental Mixture Exposure-Triggered Biological Knowledge-Driven Machine Learning to Predict Early Pregnancy Loss. Environmental Science & Technology. 59(37). 19691–19704. 1 indexed citations
2.
Wu, Tao, Lu Zhao, Mengyuan Ren, et al.. (2025). Small-Sample Learning for Next-Generation Human Health Risk Assessment: Harnessing AI, Exposome Data, and Systems Biology. Environmental Science & Technology. 59(1). 5–10. 11 indexed citations
3.
Chen, Guanxing, Haohuai He, Qiujie Lv, Lu Zhao, & Calvin Yu‐Chian Chen. (2024). MMFA-DTA: Multimodal Feature Attention Fusion Network for Drug-Target Affinity Prediction for Drug Repurposing Against SARS-CoV-2. Journal of Chemical Theory and Computation. 1 indexed citations
4.
Zhao, Lu, et al.. (2023). Multi-perspective neural network for dual drug repurposing in Alzheimer’s disease. Knowledge-Based Systems. 283. 111195–111195. 8 indexed citations
5.
Chen, Guanxing, Haohuai He, Lu Zhao, Qiujie Lv, & Calvin Yu‐Chian Chen. (2023). GINCM-DTA: A graph isomorphic network with protein contact map representation for potential use against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16. Expert Systems with Applications. 236. 121274–121274. 4 indexed citations
6.
Meng, Dan, Hong Li, Xuefeng Li, et al.. (2023). Validation of Luminex immunological and competitive Luminex immunological assays for clinical immunogenicity assessment of a 14‐valent recombinant human papillomavirus vaccine. Journal of Medical Virology. 95(8). e29050–e29050. 4 indexed citations
7.
Zhao, Lu, et al.. (2023). Horsfielenigans A and B, Two Rearranged Lignans with Anti‐Inflammatory Effects from Horsfieldia kingii. Chemistry & Biodiversity. 20(7). e202300549–e202300549. 2 indexed citations
8.
Zhao, Lu, et al.. (2021). CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images. Medical Physics. 48(11). 7127–7140. 19 indexed citations
9.
Chen, Lun, Lu Zhao, & Calvin Yu‐Chian Chen. (2021). Enhancing adversarial defense for medical image analysis systems with pruning and attention mechanism. Medical Physics. 48(10). 6198–6212. 8 indexed citations
10.
Li, Hui, Jian-Mei Lin, Wenwen Zheng, et al.. (2021). Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data. Technology in Cancer Research & Treatment. 20. 2203800240–2203800240. 27 indexed citations
11.
Zhong, Weihe, Lu Zhao, Ziduo Yang, & Calvin Yu‐Chian Chen. (2021). Graph convolutional network approach to investigate potential selective Limk1 inhibitors. Journal of Molecular Graphics and Modelling. 107. 107965–107965. 8 indexed citations
12.
Zhao, Lu, et al.. (2021). A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer. Biomolecules. 11(3). 477–477. 15 indexed citations
13.
Lv, Qiujie, Guanxing Chen, Lu Zhao, Weihe Zhong, & Calvin Yu‐Chian Chen. (2021). Mol2Context-vec: learning molecular representation from context awareness for drug discovery. Briefings in Bioinformatics. 22(6). 42 indexed citations
14.
Deng, Leping, et al.. (2020). Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases. Frontiers in Neurorobotics. 14. 617327–617327. 11 indexed citations
15.
Zhao, Lu, Weihe Zhong, Hsin‐Yi Chen, et al.. (2020). Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms. Biomedicine & Pharmacotherapy. 129. 110360–110360. 16 indexed citations
16.
Zhang, Jingdan, Xiangling Yang, Lili Wei, et al.. (2020). Improved diagnostic value by combining plasma PON1 level with tumor biomarkers in Colorectal Cancer patients. Journal of Cancer. 11(22). 6491–6496. 7 indexed citations
17.
Li, Yuanyuan, et al.. (2017). Axonemal dynein assembly requires the R2TP complex component Pontin. Development. 144(24). 4684–4693. 29 indexed citations
18.
Yuan, Shiaulou, Lu Zhao, & Zhaoxia Sun. (2013). Dissecting the Functional Interplay Between the TOR Pathway and the Cilium in Zebrafish. Methods in enzymology on CD-ROM/Methods in enzymology. 525. 159–189. 5 indexed citations
19.
Zhao, Lu, Shiaulou Yuan, Ying Cao, et al.. (2013). Reptin/Ruvbl2 is a Lrrc6/Seahorse interactor essential for cilia motility. Proceedings of the National Academy of Sciences. 110(31). 12697–12702. 47 indexed citations
20.
Zhao, Lu, Suresh Karne, Thomas R. Kolodecik, & Fred S. Gorelick. (2002). Alcohols enhance caerulein-induced zymogen activation in pancreatic acinar cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 282(3). G501–G507. 64 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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