Feng Zhu

378 total papers · 20.8k total citations
291 papers, 13.1k citations indexed

About

Feng Zhu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Feng Zhu has authored 291 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Molecular Biology, 75 papers in Computational Theory and Mathematics and 28 papers in Spectroscopy. Recurrent topics in Feng Zhu's work include Computational Drug Discovery Methods (75 papers), Metabolomics and Mass Spectrometry Studies (30 papers) and Bioinformatics and Genomic Networks (29 papers). Feng Zhu is often cited by papers focused on Computational Drug Discovery Methods (75 papers), Metabolomics and Mass Spectrometry Studies (30 papers) and Bioinformatics and Genomic Networks (29 papers). Feng Zhu collaborates with scholars based in China, Singapore and United States. Feng Zhu's co-authors include Yu Chen, Weiwei Xue, Fengcheng Li, Yinghong Li, Qingxia Yang, Jing Tang, Qin Chu, Yunxia Wang, Tingjun Hou and Yunqing Qiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Feng Zhu

281 papers receiving 13.0k citations

Hit Papers

Mechanisms of drug combin... 2009 2026 2014 2020 2009 2019 2017 2019 2021 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Feng Zhu 8.5k 3.7k 1.1k 1.0k 884 291 13.1k
Christopher P. Austin 5.7k 0.7× 2.5k 0.7× 884 0.8× 691 0.7× 957 1.1× 172 11.8k
Yu Chen 10.0k 1.2× 5.3k 1.4× 810 0.8× 1.8k 1.7× 1.3k 1.5× 453 17.5k
Luhua Lai 9.2k 1.1× 5.2k 1.4× 537 0.5× 804 0.8× 822 0.9× 351 15.0k
Anton Simeonov 8.4k 1.0× 2.3k 0.6× 831 0.8× 477 0.5× 1.5k 1.7× 298 14.0k
Honglin Li 9.5k 1.1× 2.0k 0.5× 1.2k 1.1× 1.0k 1.0× 1.5k 1.7× 463 15.8k
Feixiong Cheng 7.6k 0.9× 6.0k 1.6× 1.0k 1.0× 1.1k 1.1× 888 1.0× 193 13.7k
Sunghwan Kim 5.9k 0.7× 4.3k 1.1× 417 0.4× 1.1k 1.1× 592 0.7× 137 13.0k
Weida Tong 5.5k 0.6× 3.6k 1.0× 1.1k 1.1× 2.0k 2.0× 749 0.8× 343 13.2k
Robert Preißner 5.3k 0.6× 3.2k 0.9× 323 0.3× 1.1k 1.1× 731 0.8× 213 10.7k
Stephen H. Bryant 14.1k 1.7× 4.8k 1.3× 410 0.4× 928 0.9× 687 0.8× 156 21.4k

Countries citing papers authored by Feng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhu. A scholar is included among the top collaborators of Feng 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 Feng Zhu. Feng Zhu 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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