Lu Zhao

40 total papers · 1.3k total citations
32 papers, 895 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 895 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, Thomas R. Kolodecik, Suresh Karne 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 881 citations

Hit Papers

MGraphDTA: deep multiscal... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lu Zhao 575 373 167 128 78 32 895
Jiangming Sun 407 0.7× 182 0.5× 95 0.6× 34 0.3× 33 0.4× 50 730
Yasunari Matsuzaka 482 0.8× 140 0.4× 80 0.5× 83 0.6× 15 0.2× 58 847
Chloé‐Agathe Azencott 436 0.8× 216 0.6× 142 0.9× 241 1.9× 70 0.9× 24 776
Minjie Mou 650 1.1× 280 0.8× 71 0.4× 25 0.2× 40 0.5× 30 919
Xinbin Zhao 728 1.3× 516 1.4× 142 0.9× 15 0.1× 55 0.7× 18 1.0k
Shuyu Zheng 591 1.0× 244 0.7× 61 0.4× 22 0.2× 44 0.6× 36 980
Yongchao Luo 573 1.0× 158 0.4× 58 0.3× 26 0.2× 39 0.5× 25 845
Stephen J. Capuzzi 425 0.7× 447 1.2× 124 0.7× 24 0.2× 32 0.4× 27 886
Samson Fong 498 0.9× 223 0.6× 67 0.4× 60 0.5× 109 1.4× 11 772
Man‐Hon Wong 562 1.0× 375 1.0× 134 0.8× 22 0.2× 27 0.3× 29 808

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

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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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