Zhenqiang Su
Impact in
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- Computational Drug Discovery Methods
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Gene expression and cancer classification 7
- Molecular Biology Techniques and Applications 5
- Bioinformatics and Genomic Networks 4
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Weida Tong (24 shared papers)Huixiao Hong (21 shared papers)Roger Perkins (16 shared papers)Hong Fang (12 shared papers)Leming Shi (12 shared papers)Weigong Ge (10 shared papers)Huaping Liu (5 shared papers)Leming Shi (9 shared papers)
- Journals
- BMC Bioinformatics (9 papers)Scientific Data (3 papers)Journal of Clinical Oncology (2 papers)BMC Genomics (2 papers)Toxicological Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zhenqiang Su
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 249
- Cancer Research 206
- Molecular Biology 711
- Pharmacology 80
- Genetics 184
Countries citing papers authored by Zhenqiang Su
This map shows the geographic impact of Zhenqiang Su'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 Zhenqiang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenqiang Su more than expected).
Fields of papers citing papers by Zhenqiang Su
This network shows the impact of papers produced by Zhenqiang Su. 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 Zhenqiang Su. The network helps show where Zhenqiang Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenqiang Su, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 235 | |
| 2 | 2005 | 147 | |
| 3 | 2014 | 121 | |
| 4 | 2011 | 117 | |
| 5 | 2017 | 95 | |
| 6 | 2005 | 88 | |
| 7 | 2011 | 64 | |
| 8 | 2011 | 61 | |
| 9 | 2008 | 61 | |
| 10 | 2013 | 58 | |
| 11 | 2010 | 39 | |
| 12 | 2012 | 31 | |
| 13 | 2015 | 26 | |
| 14 | 2014 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2006 | 24 | |
| 17 | 2011 | 23 | |
| 18 | 2013 | 23 | |
| 19 | 2014 | 21 | |
| 20 | 2013 | 21 |
About Zhenqiang Su
Zhenqiang Su is a scholar working on Molecular Biology, Cancer Research, Genetics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Cancer Genomics and Diagnostics (6 papers), Molecular Biology Techniques and Applications (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (4 papers), Bioinformatics and Genomic Networks (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (249 citations), Cancer Research (206 citations), Molecular Biology (711 citations), Pharmacology (80 citations) and Genetics (184 citations). Zhenqiang Su has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Weida Tong, Huixiao Hong, Roger Perkins, Hong Fang, Leming Shi, Weigong Ge, Huaping Liu, Leming Shi, Baitang Ning and James C. Fuscoe. Their work appears in journals such as BMC Bioinformatics, Scientific Data, Journal of Clinical Oncology, BMC Genomics and Toxicological Sciences.
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.