Feifei Tian
Impact in
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- Computational Drug Discovery Methods
-
- Crystallography and molecular interactions
Papers in
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- Protein Structure and Dynamics 20
- Machine Learning in Bioinformatics 5
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- Computational Drug Discovery Methods 18
- Co-authors
- Peng Zhou (30 shared papers)Fenglin Lv (8 shared papers)Zhiliang Li (12 shared papers)Jian‐Wei Zou (5 shared papers)Yonggang Lv (4 shared papers)Yang Li (5 shared papers)Yanrong Ren (3 shared papers)Chao Yang (1 shared paper)
- Journals
- Amino Acids (2 papers)Molecular Informatics (2 papers)Molecular Simulation (2 papers)Journal of Molecular Modeling (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Feifei Tian
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 327
- Physical and Theoretical Chemistry 177
- Molecular Biology 938
- Microbiology 57
- Spectroscopy 156
Countries citing papers authored by Feifei Tian
This map shows the geographic impact of Feifei Tian'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 Feifei Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Tian more than expected).
Fields of papers citing papers by Feifei Tian
This network shows the impact of papers produced by Feifei Tian. 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 Feifei Tian. The network helps show where Feifei Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Tian, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 225 | |
| 2 | 2009 | 219 | |
| 3 | 2006 | 123 | |
| 4 | 2013 | 103 | |
| 5 | 2011 | 77 | |
| 6 | 2008 | 61 | |
| 7 | 2009 | 56 | |
| 8 | 2008 | 53 | |
| 9 | 2011 | 44 | |
| 10 | 2008 | 43 | |
| 11 | 2014 | 37 | |
| 12 | 2010 | 37 | |
| 13 | 2013 | 36 | |
| 14 | 2014 | 25 | |
| 15 | 2007 | 24 | |
| 16 | 2008 | 24 | |
| 17 | 2007 | 22 | |
| 18 | 2006 | 18 | |
| 19 | 2010 | 17 | |
| 20 | 2009 | 16 |
About Feifei Tian
Feifei Tian is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Physical and Theoretical Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Computational Drug Discovery Methods (18 papers), Crystallography and molecular interactions (6 papers), Analytical Chemistry and Chromatography (6 papers), Machine Learning in Bioinformatics (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Structure and Function (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (327 citations), Physical and Theoretical Chemistry (177 citations), Molecular Biology (938 citations), Microbiology (57 citations) and Spectroscopy (156 citations). Feifei Tian has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Peng Zhou, Fenglin Lv, Zhiliang Li, Jian‐Wei Zou, Yonggang Lv, Yang Li, Yanrong Ren, Chao Yang, Congcong Wang and Li Yang. Their work appears in journals such as Amino Acids, Molecular Informatics, Molecular Simulation, Journal of Molecular Modeling and Journal of Chemical Information and Modeling.
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.