Guo-Wei Tu
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
Papers in
-
- Aortic Disease and Treatment Approaches 12
- Respiratory Support and Mechanisms 11
- Surgery 14
- Hemodynamic Monitoring and Therapy 10
- Co-authors
- Zhe Luo (73 shared papers)Jing‐chao Luo (34 shared papers)Min‐Jie Ju (18 shared papers)Guang‐wei Hao (25 shared papers)Qinyu Zhao (6 shared papers)Guo‐guang Ma (20 shared papers)Ying Su (3 shared papers)Cheng Yang (9 shared papers)
- Journals
- Annals of Translational Medicine (10 papers)Frontiers in Medicine (9 papers)Frontiers in Immunology (4 papers)Reviews in Cardiovascular Medicine (4 papers)Annals of Intensive Care (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guo-Wei Tu
87 papers receiving 1.3k citations
Guo-Wei Tu's Hit Papers
Peers
Comparison fields: 5 of 131
- Critical Care and Intensive Care Medicine 93
- Nephrology 104
- Emergency Medicine 92
- Pulmonary and Respiratory Medicine 271
- Immunology 132
Countries citing papers authored by Guo-Wei Tu
This map shows the geographic impact of Guo-Wei Tu'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 Guo-Wei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo-Wei Tu more than expected).
Fields of papers citing papers by Guo-Wei Tu
This network shows the impact of papers produced by Guo-Wei Tu. 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 Guo-Wei Tu. The network helps show where Guo-Wei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo-Wei Tu, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Propensity score matching with R: conventional methods and new features Hit paper breakdown → | 2021 | 163 |
| 2 | 2017 | 94 | |
| 3 | 2021 | 62 | |
| 4 | 2018 | 44 | |
| 5 | 2020 | 43 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 37 | |
| 8 | 2017 | 35 | |
| 9 | 2013 | 33 | |
| 10 | 2018 | 31 | |
| 11 | 2022 | 30 | |
| 12 | 2013 | 29 | |
| 13 | 2021 | 29 | |
| 14 | 2019 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2017 | 24 | |
| 18 | 2021 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2021 | 20 |
About Guo-Wei Tu
Guo-Wei Tu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Nephrology, Epidemiology and Immunology, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (12 papers), Respiratory Support and Mechanisms (11 papers), Hemodynamic Monitoring and Therapy (10 papers), Acute Kidney Injury Research (10 papers), Mechanical Circulatory Support Devices (9 papers), Sepsis Diagnosis and Treatment (8 papers), Immune cells in cancer (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (93 citations), Nephrology (104 citations), Emergency Medicine (92 citations), Pulmonary and Respiratory Medicine (271 citations) and Immunology (132 citations). Guo-Wei Tu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhe Luo, Jing‐chao Luo, Min‐Jie Ju, Guang‐wei Hao, Qinyu Zhao, Guo‐guang Ma, Ying Su, Cheng Yang, Yijie Zhang and Yue Qiu. Their work appears in journals such as Annals of Translational Medicine, Frontiers in Medicine, Frontiers in Immunology, Reviews in Cardiovascular Medicine and Annals of Intensive Care.
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.