Luwei Liu

825 total citations · 1 hit paper
11 papers, 509 citations indexed

About

Luwei Liu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Internal Medicine. According to data from OpenAlex, Luwei Liu has authored 11 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Internal Medicine. Recurrent topics in Luwei Liu's work include Clinical practice guidelines implementation (2 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 diagnosis using AI (2 papers). Luwei Liu is often cited by papers focused on Clinical practice guidelines implementation (2 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 diagnosis using AI (2 papers). Luwei Liu collaborates with scholars based in United States, China and South Korea. Luwei Liu's co-authors include Christopher J. Giuliano, Kristen M. John, Alexander R. Chait, Ann Lin, Jason M. Sheltzer, Clara Tucker, Erin L. Sausville, Ann Palladino, Ravi Jasuja and Bo Wu and has published in prestigious journals such as Journal of the American Geriatrics Society, Science Translational Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Luwei Liu

10 papers receiving 499 citations

Hit Papers

Off-target toxicity is a common mechanism of action of ca... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luwei Liu United States 5 312 114 71 47 43 11 509
Ann Palladino United States 4 352 1.1× 109 1.0× 75 1.1× 49 1.0× 46 1.1× 5 524
Alexander R. Chait United States 5 305 1.0× 105 0.9× 70 1.0× 49 1.0× 33 0.8× 7 507
Tea Pemovska Finland 12 392 1.3× 143 1.3× 114 1.6× 42 0.9× 41 1.0× 25 751
Madhu Lal‐Nag United States 13 392 1.3× 167 1.5× 70 1.0× 82 1.7× 53 1.2× 19 778
Göran Dahl Sweden 14 462 1.5× 147 1.3× 87 1.2× 25 0.5× 31 0.7× 22 677
Laura Turunen Finland 10 219 0.7× 80 0.7× 73 1.0× 42 0.9× 13 0.3× 19 335
Orit Lavi United States 11 314 1.0× 207 1.8× 32 0.5× 58 1.2× 45 1.0× 15 593
Bolormaa Baljinnyam United States 13 483 1.5× 111 1.0× 32 0.5× 26 0.6× 20 0.5× 25 611
Ratna R. Thangudu United States 12 591 1.9× 90 0.8× 93 1.3× 49 1.0× 86 2.0× 15 803

Countries citing papers authored by Luwei Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Luwei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Luwei Liu. A scholar is included among the top collaborators of Luwei Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luwei Liu. Luwei Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Liu, Luwei, et al.. (2024). Mitochonic Acid 5 Increases Ram Sperm Quality by Improving Mitochondrial Function during Storage at 4 °C. Animals. 14(3). 368–368. 2 indexed citations
3.
Song, Wenyu, Nancy K. Latham, Luwei Liu, et al.. (2024). Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach. Journal of the American Geriatrics Society. 72(4). 1145–1154. 7 indexed citations
4.
Liu, Luwei, et al.. (2023). Predicting COVID-19 severity: Challenges in reproducibility and deployment of machine learning methods. International Journal of Medical Informatics. 179. 105210–105210. 3 indexed citations
5.
Dykes, Patricia C., Frank Chang, Jin Chen, et al.. (2023). Testing of an Electronic Clinical Quality Measure for Diagnostic Delay of Venous Thromboembolism (DOVE) in Primary Care.. PubMed. 2023. 339–348. 3 indexed citations
6.
Song, Wenyu, Linying Zhang, Luwei Liu, et al.. (2022). Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. Journal of the American Medical Informatics Association. 29(10). 1661–1667. 12 indexed citations
7.
Li, Jingjing, et al.. (2021). Insecticidal Activity of Extracts from 110 Traditional Chinese Medicines. Redai zuowu xuebao. 42(7). 2085. 2 indexed citations
8.
Li, Hui, Zhenhua Wang, Han Lü, et al.. (2021). Computational study on new natural compound agonists of dopamine receptor. Aging. 13(12). 16620–16636. 3 indexed citations
9.
Wu, Bo, Zhen Guo, Daqun Liu, et al.. (2021). Selected using bioinformatics and molecular docking analyses, PHA-793887 is effective against osteosarcoma. Aging. 13(12). 16425–16444. 15 indexed citations
10.
Liu, Luwei, Yucheng Wang, Anatoly Urisman, et al.. (2019). Inhibition of cyclin‐dependent kinase 7 down‐regulates yes‐associated protein expression in mesothelioma cells. Journal of Cellular and Molecular Medicine. 24(1). 1087–1098. 7 indexed citations
11.
Lin, Ann, Christopher J. Giuliano, Ann Palladino, et al.. (2019). Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials. Science Translational Medicine. 11(509). 455 indexed citations breakdown →

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.

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