Yipin Lu
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods 9
- Organic Chemistry top 2%
- Click Chemistry and Applications 2
- Molecular Biology top 2%
- Protein Structure and Dynamics 7
- Ubiquitin and proteasome pathways 3
- DNA Repair Mechanisms 2
- Toxicology top 2%
- Oncology top 5%
- Cancer-related Molecular Pathways 4
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- Enzyme Structure and Function 3
- Machine Learning in Materials Science 2
- Co-authors
- Shaomeng WangRenxiao WangXueliang FangChao‐Yie YangZaneta Nikolovska‐ColeskaWei GaoKe DingPeter P. Roller
- Journals
- Journal of Medicinal Chemistry (8 papers)Journal of Chemical Information and Modeling (3 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Yipin Lu
22 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 1.9k
- Organic Chemistry 1.2k
- Molecular Biology 2.7k
- Toxicology 92
- Oncology 604
Countries citing papers authored by Yipin Lu
This map shows the geographic impact of Yipin Lu'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 Yipin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipin Lu more than expected).
Fields of papers citing papers by Yipin Lu
This network shows the impact of papers produced by Yipin Lu. 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 Yipin Lu. The network helps show where Yipin Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yipin Lu, 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 | 2022 | 7 | |
| 2 | 2020 | 15 | |
| 3 | 2019 | 18 | |
| 4 | 2019 | 30 | |
| 5 | 2017 | 20 | |
| 6 | 2017 | 28 | |
| 7 | 2015 | 12 | |
| 8 | 2008 | 75 | |
| 9 | 2007 | 139 | |
| 10 | Structure-Based Design of Spiro-oxindoles as Potent, Specific Small-Molecule Inhibitors of the MDM2−p53 Interactionbreakdown → | 2006 | 602 |
| 11 | 2006 | 94 | |
| 12 | 2006 | 75 | |
| 13 | 2005 | 1 | |
| 14 | Structure-Based Design of Potent Non-Peptide MDM2 Inhibitorsbreakdown → | 2005 | 564 |
| 15 | The PDBbind Database: Methodologies and Updatesbreakdown → | 2005 | 630 |
| 16 | 2005 | 22 | |
| 17 | 2004 | 27 | |
| 18 | 2004 | 188 | |
| 19 | The PDBbind Database: Collection of Binding Affinities for Protein−Ligand Complexes with Known Three-Dimensional Structuresbreakdown → | 2004 | 791 |
| 20 | Comparative Evaluation of 11 Scoring Functions for Molecular Dockingbreakdown → | 2003 | 706 |
About Yipin Lu
Yipin Lu is a scholar working on Computational Theory and Mathematics, Molecular Biology, Virology, Molecular Medicine and Oncology, having authored 22 papers that have together received 4.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers), Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers), Enzyme Structure and Function (3 papers), Click Chemistry and Applications (2 papers), DNA Repair Mechanisms (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Organic Chemistry (1.2k citations), Molecular Biology (2.7k citations), Toxicology (92 citations) and Oncology (604 citations). Yipin Lu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Shaomeng Wang, Renxiao Wang, Xueliang Fang, Chao‐Yie Yang, Zaneta Nikolovska‐Coleska, Wei Gao, Ke Ding, Peter P. Roller, Jeanne A. Stuckey and Krzysztof Krajewski. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of the American Chemical Society, Molecular Cancer Therapeutics and ACS Medicinal Chemistry Letters.
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.