Jun Zou
Impact in
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- Computational Drug Discovery Methods
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- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
Papers in
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- Protein Structure and Dynamics 5
- Receptor Mechanisms and Signaling 4
- Protein Kinase Regulation and GTPase Signaling 3
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- Computational Drug Discovery Methods 12
- Co-authors
- Shengyong Yang (22 shared papers)Faramarz Fekri (12 shared papers)Linli Li (10 shared papers)Haixia Qi (3 shared papers)Huanzhang Xie (4 shared papers)Robert A. Clark (1 shared paper)Melvyn S. Tockman (1 shared paper)Hong Tang (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (2 papers)Applied Sciences (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Molecular BioSystems (2 papers)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jun Zou
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Computational Theory and Mathematics 291
- Molecular Biology 609
- Health Information Management 35
- Horticulture 6
- Analytical Chemistry 59
Countries citing papers authored by Jun Zou
This map shows the geographic impact of Jun Zou'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 Jun Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zou more than expected).
Fields of papers citing papers by Jun Zou
This network shows the impact of papers produced by Jun Zou. 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 Jun Zou. The network helps show where Jun Zou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Zou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 161 | |
| 2 | 2013 | 91 | |
| 3 | 2022 | 83 | |
| 4 | 2021 | 71 | |
| 5 | 2022 | 70 | |
| 6 | 2022 | 66 | |
| 7 | 2008 | 64 | |
| 8 | 2013 | 57 | |
| 9 | 2021 | 47 | |
| 10 | 2020 | 43 | |
| 11 | 2019 | 41 | |
| 12 | 2012 | 40 | |
| 13 | 2009 | 40 | |
| 14 | 2020 | 36 | |
| 15 | 2009 | 35 | |
| 16 | 2012 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2008 | 23 | |
| 19 | 1998 | 22 | |
| 20 | 2017 | 19 |
About Jun Zou
Jun Zou is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems, Artificial Intelligence and Oncology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Recommender Systems and Techniques (7 papers), Protein Structure and Dynamics (5 papers), Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Spam and Phishing Detection (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Computational Theory and Mathematics (291 citations), Molecular Biology (609 citations), Health Information Management (35 citations), Horticulture (6 citations) and Analytical Chemistry (59 citations). Jun Zou has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shengyong Yang, Faramarz Fekri, Linli Li, Haixia Qi, Huanzhang Xie, Robert A. Clark, Melvyn S. Tockman, Hong Tang, Michael E. Gruidl and Lihua Li. Their work appears in journals such as European Journal of Medicinal Chemistry, Applied Sciences, Bioorganic & Medicinal Chemistry Letters, Molecular BioSystems and Signal Transduction and Targeted Therapy.
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.