Patrick Liu
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- RNA Research and Splicing 2
- RNA regulation and disease 2
- Oncology 6
- Neutropenia and Cancer Infections 5
- Co-authors
- G Yeo (3 shared papers)Peter B. Richman (2 shared papers)Catherine C. Roberts (2 shared papers)Yan Song (1 shared paper)Olga Botvinnik (1 shared paper)Boyko Kakaradov (1 shared paper)Michael Lovci (1 shared paper)Jia Xu (1 shared paper)
- Journals
- Blood (4 papers)Academic Emergency Medicine (2 papers)JAMA Network Open (2 papers)Journal of Clinical Oncology (1 paper)Circulation Cardiovascular Quality and Outcomes (1 paper)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
Patrick Liu
33 papers receiving 673 citations
Peers
Comparison fields: 5 of 117
- Modeling and Simulation 51
- Health Informatics 10
- Family Practice 6
- Molecular Biology 214
- Surgery 115
Countries citing papers authored by Patrick Liu
This map shows the geographic impact of Patrick 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 Patrick Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Liu more than expected).
Fields of papers citing papers by Patrick Liu
This network shows the impact of papers produced by Patrick 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 Patrick Liu. The network helps show where Patrick Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 125 | |
| 2 | 2005 | 100 | |
| 3 | 2021 | 73 | |
| 4 | 2013 | 53 | |
| 5 | 2020 | 48 | |
| 6 | 2020 | 44 | |
| 7 | 2002 | 31 | |
| 8 | 1995 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2013 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2016 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2013 | 7 | |
| 20 | 2013 | 7 |
About Patrick Liu
Patrick Liu is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Economics and Econometrics, having authored 34 papers that have together received 687 indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (5 papers), Pharmaceutical industry and healthcare (3 papers), Fungal Infections and Studies (2 papers), COVID-19 epidemiological studies (2 papers), Pharmaceutical Economics and Policy (2 papers), RNA Research and Splicing (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Modeling and Simulation (51 citations), Health Informatics (10 citations), Family Practice (6 citations), Molecular Biology (214 citations) and Surgery (115 citations). Patrick Liu has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include G Yeo, Peter B. Richman, Catherine C. Roberts, Yan Song, Olga Botvinnik, Boyko Kakaradov, Michael Lovci, Jia Xu, Sanket S. Dhruva and Joseph S. Ross. Their work appears in journals such as Blood, Academic Emergency Medicine, JAMA Network Open, Journal of Clinical Oncology and Circulation Cardiovascular Quality and Outcomes.
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.