Weifan Zheng
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 28
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography 6
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- Chemical Synthesis and Analysis 7
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 4
- Biomedical Text Mining and Ontologies 3
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis 3
- Organic Chemistry top 10%
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- Machine Learning in Materials Science 4
- Co-authors
- Alexander TropshaJerry O. EbalunodeSung Jin ChoStephen R. JohnsonSuryakant NitureDeepak KumarZheng OuyangJie Liang
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Weifan Zheng
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Computational Theory and Mathematics 786
- Spectroscopy 178
- Molecular Biology 685
- Pharmacology 77
- Organic Chemistry 241
Countries citing papers authored by Weifan Zheng
This map shows the geographic impact of Weifan Zheng'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 Weifan Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifan Zheng more than expected).
Fields of papers citing papers by Weifan Zheng
This network shows the impact of papers produced by Weifan Zheng. 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 Weifan Zheng. The network helps show where Weifan Zheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weifan Zheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 24 | |
| 5 | 2020 | 42 | |
| 6 | 2020 | 3 | |
| 7 | 2014 | 6 | |
| 8 | 2014 | 5 | |
| 9 | 2012 | 35 | |
| 10 | 2011 | 12 | |
| 11 | 2010 | 5 | |
| 12 | 2010 | 23 | |
| 13 | 2010 | 3 | |
| 14 | 2010 | 19 | |
| 15 | 2009 | 5 | |
| 16 | 2009 | 11 | |
| 17 | 2008 | 11 | |
| 18 | 2008 | 12 | |
| 19 | 2007 | 67 | |
| 20 | 1999 | 18 |
About Weifan Zheng
Weifan Zheng is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Chemical Synthesis and Analysis (7 papers), Protein Structure and Dynamics (6 papers), Analytical Chemistry and Chromatography (6 papers), Machine Learning in Materials Science (4 papers), Bioinformatics and Genomic Networks (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (786 citations), Spectroscopy (178 citations) and Molecular Biology (685 citations). Weifan Zheng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Alexander Tropsha, Jerry O. Ebalunode, Sung Jin Cho, Stephen R. Johnson, Sung Jin Cho, Suryakant Niture, Deepak Kumar, Zheng Ouyang, Jie Liang and Iosif I. Vaisman. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medicinal Chemistry.
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.