Chun-Yao Wang

615 total citations
16 papers, 355 citations indexed

About

Chun-Yao Wang is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chun-Yao Wang has authored 16 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Critical Care and Intensive Care Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chun-Yao Wang's work include Sepsis Diagnosis and Treatment (7 papers), Nosocomial Infections in ICU (5 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Chun-Yao Wang is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Nosocomial Infections in ICU (5 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Chun-Yao Wang collaborates with scholars based in China, Taiwan and United States. Chun-Yao Wang's co-authors include Bin Du, Li Weng, Hui‐Bin Huang, Jinmin Peng, Wei Jiang, Lijun Wang, Peng Yin, Xinying Zeng, Maigeng Zhou and Wei Jiang and has published in prestigious journals such as Journal of Investigative Dermatology, Intensive Care Medicine and Critical Care.

In The Last Decade

Chun-Yao Wang

16 papers receiving 342 citations

Peers

Chun-Yao Wang
Comparison fields: 5 of 80
  • Epidemiology 203
  • Critical Care and Intensive Care Medicine 115
  • Surgery 53
  • Pulmonary and Respiratory Medicine 41
  • Molecular Biology 33
Replace Domonkos Trásy with:
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Jenny Bush United States
William Petkun United States
Yunbo Sun China
Anja Kathrin Jaehne United States
Chengyi Ding United Kingdom
Irini Mavrou Greece
Josey Hensley United States
Takashi Shimazui Japan
Yo Hirayama Japan
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Citations per field, relative to Chun-Yao Wang
Chun-Yao Wang · 1×
Citations per year, relative to Chun-Yao Wang
Chun-Yao Wang · 1×

Countries citing papers authored by Chun-Yao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Yao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Yao Wang. 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 Chun-Yao Wang. The network helps show where Chun-Yao Wang may publish in the future.

Co-authorship network of co-authors of Chun-Yao Wang

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 2
5 1
6 4
7 16
8 23
9 108
10 45
11 60
12 7
13 9
14 28
15 33
16 14

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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