Guo-wei Tu

2.3k citations
104 papers · 1.6k · 1 hit paper · h-index 22

Impact in

Papers in

Guo-wei Tu

99 papers receiving 1.5k citations

Guo-wei Tu's Hit Papers

Propensity score matching with R: conventional methods and new features 2021 · 181 citations
1810+1+3Years since publication50100150

Peers

Guo-wei Tu
Comparison fields: 5 of 116
  • Nephrology 143
  • Pulmonary and Respiratory Medicine 347
  • Critical Care and Intensive Care Medicine 39
  • Epidemiology 235
  • Transplantation 22
Replace Takuma Ishihara with:
Takuma Ishihara Japan
Arnar Geirsson United States
Jin‐Oh Choi South Korea
Philippe Gaudin France
Simona Rednic Romania
Kirsten Lerstrøm Greece
Jun Ye China
Rossella De Angelis Italy
Branimir Anić Croatia
Palak Mayur Shah United States
Guo-wei Tu relative to Takuma Ishihara Japan Takuma Ishihara's profile →
Citations per field
00.5×5×10×13.5×
Takuma Ishihara · 1×
Citations per year

Countries citing papers authored by Guo-wei Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guo-wei Tu Line = papers co-authored together Guo-wei Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 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 →
2021181
2 2017102
3 202168
4 202053
5 201849
6 202141
7 201337
8 201737
9 202035
10 201834
11 202034
12 201332
13 202132
14 202231
15 201928
16 202127
17 201426
18 201726
19 201926
20 201926

About Guo-wei Tu

Guo-wei Tu is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Critical Care and Intensive Care Medicine, Epidemiology and Surgery, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (16 papers), Acute Kidney Injury Research (13 papers), Aortic Disease and Treatment Approaches (13 papers), Sepsis Diagnosis and Treatment (12 papers), Hemodynamic Monitoring and Therapy (9 papers), Pneumonia and Respiratory Infections (5 papers), Mechanical Circulatory Support Devices (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Nephrology (143 citations), Pulmonary and Respiratory Medicine (347 citations), Critical Care and Intensive Care Medicine (39 citations), Epidemiology (235 citations) and Transplantation (22 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, Qinyu Zhao, Guang‐wei Hao, Guo‐guang Ma, Ying Su, Yijie Zhang, Cheng Yang and Yijun Zheng. Their work appears in journals such as Annals of Translational Medicine, Frontiers in Medicine, Reviews in Cardiovascular Medicine, Annals of Intensive Care and Frontiers in Immunology.

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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