Xiaode Lu
Impact in
- Virology top 10%
- HIV Research and Treatment
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
Papers in
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- Computational Drug Discovery Methods 3
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- Protein Kinase Regulation and GTPase Signaling 4
- Chemical Synthesis and Analysis 3
- Protein Tyrosine Phosphatases 2
- Signaling Pathways in Disease 1
- Protein Structure and Dynamics 1
- Co-authors
- Marcos H. Hatada (5 shared papers)Dennis A. Holt (2 shared papers)Michael Z. Gilman (1 shared paper)Shannon R. Magari (1 shared paper)Carl T. Rollins (1 shared paper)Jane F. Amara (1 shared paper)Franklin Cerasoli (1 shared paper)Tim Clackson (1 shared paper)
- Journals
- Nature (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Medicinal Chemistry (1 paper)Journal of Molecular Recognition (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Xiaode Lu
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 60
- Virology 70
- Molecular Biology 604
- Immunology 179
- Infectious Diseases 114
- Oncology 111
Countries citing papers authored by Xiaode Lu
This map shows the geographic impact of Xiaode 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 Xiaode Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaode Lu more than expected).
Fields of papers citing papers by Xiaode Lu
This network shows the impact of papers produced by Xiaode 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 Xiaode Lu. The network helps show where Xiaode Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaode 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 | 1998 | 469 | |
| 2 | 1995 | 301 | |
| 3 | 1992 | 169 | |
| 4 | 2000 | 124 | |
| 5 | 1999 | 28 | |
| 6 | 2000 | 26 | |
| 7 | 1994 | 25 | |
| 8 | 2001 | 20 |
About Xiaode Lu
Xiaode Lu is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Immunology and Organic Chemistry, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Chemical Synthesis and Analysis (3 papers), Computational Drug Discovery Methods (3 papers), Protein Tyrosine Phosphatases (2 papers), HIV/AIDS drug development and treatment (2 papers), Signaling Pathways in Disease (1 paper), Synthesis and biological activity (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Virology (70 citations), Molecular Biology (604 citations), Immunology (179 citations), Infectious Diseases (114 citations) and Oncology (111 citations). Xiaode Lu has collaborated with scholars based in United States and Israel. Frequent co-authors include Marcos H. Hatada, Dennis A. Holt, Michael Z. Gilman, Shannon R. Magari, Carl T. Rollins, Jane F. Amara, Franklin Cerasoli, Tim Clackson, Yang Wu and Leonard W. Rozamus. Their work appears in journals such as Nature, Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Journal of Molecular Recognition.
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.