Chung-Te Liu

438 total citations
23 papers, 283 citations indexed

About

Chung-Te Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Chung-Te Liu has authored 23 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Chung-Te Liu's work include Central Venous Catheters and Hemodialysis (5 papers), Pneumonia and Respiratory Infections (4 papers) and Vascular anomalies and interventions (4 papers). Chung-Te Liu is often cited by papers focused on Central Venous Catheters and Hemodialysis (5 papers), Pneumonia and Respiratory Infections (4 papers) and Vascular anomalies and interventions (4 papers). Chung-Te Liu collaborates with scholars based in Taiwan, United States and Czechia. Chung-Te Liu's co-authors include Yuh‐Mou Sue, Cheng‐Hsien Chen, Shih‐Chang Hsu, Po‐Hsun Huang, Yen-Cheng Chen, Chih‐Chin Kao, Pai‐An Hwang, Yen‐Chung Lin, Yung‐Ho Hsu and Chin‐Wang Hsu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chung-Te Liu

22 papers receiving 278 citations

Peers

Chung-Te Liu
Comparison fields: 5 of 91
  • Nephrology 61
  • Pulmonary and Respiratory Medicine 51
  • Surgery 46
  • Molecular Biology 44
  • Aquatic Science 36
Replace Letizia Vannucci with:
Letizia Vannucci Italy
Caterina Fossi Italy
Takashi FURUYAMA Japan
Bernat Isern Spain
Mustafa Gür Türkiye
Yuanqi Wang China
Sławomir Tubek Poland
Jeremy G. Taylor United States
Jiahao Zhu China
Rida Salman United States
Letizia Vannucci Italy View profile →
Citations per field, relative to Chung-Te Liu
Chung-Te Liu · 1×
Citations per year, relative to Chung-Te Liu
Chung-Te Liu · 1×

Countries citing papers authored by Chung-Te Liu

Since Specialization
Citations

This map shows the geographic impact of Chung-Te 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 Chung-Te Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Te Liu more than expected).

Fields of papers citing papers by Chung-Te Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Te 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 Chung-Te Liu. The network helps show where Chung-Te Liu may publish in the future.

Co-authorship network of co-authors of Chung-Te Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Te Liu. A scholar is included among the top collaborators of Chung-Te 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 Chung-Te Liu. Chung-Te Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 8
3 1
4 8
5 7
6 7
7 8
8 32
9 3
10 18
11 6
12 5
13 4
14 3
15 8
16 1
17 16
18 34
19 39
20 33

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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