Luwei Liu
Impact in
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
- Histone Deacetylase Inhibitors Research
- RNA Interference and Gene Delivery
Papers in
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- Protein Degradation and Inhibitors 2
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- Clinical practice guidelines implementation 2
- Co-authors
- Ann Lin (1 shared paper)Jason M. Sheltzer (1 shared paper)Christopher J. Giuliano (1 shared paper)Clara Tucker (1 shared paper)Erin L. Sausville (1 shared paper)Kristen M. John (1 shared paper)Alexander R. Chait (1 shared paper)Ann Palladino (1 shared paper)
- Journals
- Aging (2 papers)Journal of the American Geriatrics Society (1 paper)Science Translational Medicine (1 paper)Animals (1 paper)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Luwei Liu
10 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 7
- Molecular Biology 312
- Computational Theory and Mathematics 71
- Oncology 114
- Cancer Research 42
Countries citing papers authored by Luwei Liu
This map shows the geographic impact of Luwei Liu'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 Luwei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luwei Liu more than expected).
Fields of papers citing papers by Luwei Liu
This network shows the impact of papers produced by Luwei Liu. 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 Luwei Liu. The network helps show where Luwei Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Luwei Liu, 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 | Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials Hit paper breakdown → | 2019 | 455 |
| 2 | 2021 | 15 | |
| 3 | 2022 | 12 | |
| 4 | 2024 | 7 | |
| 5 | 2019 | 7 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 3 | |
| 8 | Testing of an Electronic Clinical Quality Measure for Diagnostic Delay of Venous Thromboembolism (DOVE) in Primary Care. | 2023 | 3 |
| 9 | 2021 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 0 |
About Luwei Liu
Luwei Liu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Internal Medicine, Epidemiology and Computational Theory and Mathematics, having authored 11 papers that have together received 509 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Clinical practice guidelines implementation (2 papers), Microtubule and mitosis dynamics (1 paper), Insect and Pesticide Research (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Health Informatics (7 citations), Molecular Biology (312 citations), Computational Theory and Mathematics (71 citations), Oncology (114 citations) and Cancer Research (42 citations). Luwei Liu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Ann Lin, Jason M. Sheltzer, Christopher J. Giuliano, Clara Tucker, Erin L. Sausville, Kristen M. John, Alexander R. Chait, Ann Palladino, Bo Wu and Patricia C. Dykes. Their work appears in journals such as Aging, Journal of the American Geriatrics Society, Science Translational Medicine, Animals and Journal of the American Medical Informatics Association.
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.