Suyu Liu
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials
-
- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods in Clinical Trials 24
- Oncology 29
- Pancreatic and Hepatic Oncology Research 9
- Lung Cancer Research Studies 8
- Co-authors
- Ying YuanJ. Jack LeeHaitao PanRoy S. HerbstLei FengIgnacio I. WistubaRoderick J. A. LittleSid Gilman
- Journals
- Journal of Clinical Oncology (8 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (4 papers)Scientific Reports (3 papers)Journal of Thoracic Oncology (3 papers)Contemporary Clinical Trials (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Suyu Liu
90 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 142
- Statistics and Probability 595
- Management Science and Operations Research 301
- Oncology 567
- Cancer Research 262
- Neurology 183
Countries citing papers authored by Suyu Liu
This map shows the geographic impact of Suyu 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 Suyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyu Liu more than expected).
Fields of papers citing papers by Suyu Liu
This network shows the impact of papers produced by Suyu 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 Suyu Liu. The network helps show where Suyu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suyu 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 | 2025 | 5 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 27 | |
| 14 | 2021 | 12 | |
| 15 | 2019 | 22 | |
| 16 | 2014 | 28 | |
| 17 | 2013 | 19 | |
| 18 | 2011 | 42 | |
| 19 | 2010 | 32 | |
| 20 | 2009 | 134 |
About Suyu Liu
Suyu Liu is a scholar working on Statistics and Probability, Oncology, Cancer Research, Management Science and Operations Research and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (24 papers), Cancer Genomics and Diagnostics (13 papers), Optimal Experimental Design Methods (11 papers), Pancreatic and Hepatic Oncology Research (9 papers), Lung Cancer Research Studies (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Statistics and Probability (595 citations), Management Science and Operations Research (301 citations), Oncology (567 citations), Cancer Research (262 citations) and Neurology (183 citations). Suyu Liu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ying Yuan, J. Jack Lee, Haitao Pan, Roy S. Herbst, Lei Feng, Ignacio I. Wistuba, Roderick J. A. Little, Sid Gilman, Robert A. Koeppe and Mary Heumann. Their work appears in journals such as Journal of Clinical Oncology, Journal of the Royal Statistical Society Series C (Applied Statistics), Scientific Reports, Journal of Thoracic Oncology and Contemporary Clinical Trials.
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.