Chin-Pyng Wu

17 total papers · 1.1k total citations
17 papers, 777 citations indexed

About

Chin-Pyng Wu is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Radiological and Ultrasound Technology. According to data from OpenAlex, Chin-Pyng Wu has authored 17 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 5 papers in Critical Care and Intensive Care Medicine and 4 papers in Radiological and Ultrasound Technology. Recurrent topics in Chin-Pyng Wu's work include Respiratory Support and Mechanisms (8 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Family and Patient Care in Intensive Care Units (4 papers). Chin-Pyng Wu is often cited by papers focused on Respiratory Support and Mechanisms (8 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Family and Patient Care in Intensive Care Units (4 papers). Chin-Pyng Wu collaborates with scholars based in Taiwan, United States and Japan. Chin-Pyng Wu's co-authors include Ling-Ling Chiang, Huey‐Dong Wu, Ying-Tai Wu, Liying Wang, Wann-Cherng Perng, Chou-Chin Lan, Shi-Jye Chu, Chien-Ling Su, Chien-Ling Su and Pan‐Chyr Yang and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and CHEST Journal.

In The Last Decade

Chin-Pyng Wu

17 papers receiving 747 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chin-Pyng Wu	387	290	152	114	104	17	777
Jonathan Handy	119 0.3×	193 0.7×	29 0.2×	97 0.9×	100 1.0×	26	674
José Rodolfo Rocco	242 0.6×	224 0.8×	39 0.3×	87 0.8×	151 1.5×	20	869
Brian Mullan	230 0.6×	159 0.5×	26 0.2×	111 1.0×	24 0.2×	22	856
Julia Boyd	93 0.2×	366 1.3×	114 0.8×	159 1.4×	61 0.6×	29	881
Rita Linko	404 1.0×	238 0.8×	40 0.3×	46 0.4×	20 0.2×	26	709
Christophe Gut‐Gobert	589 1.5×	105 0.4×	60 0.4×	40 0.4×	24 0.2×	28	769
Pedro de la Oliva	286 0.7×	80 0.3×	24 0.2×	123 1.1×	25 0.2×	30	655
Rob Mac Sweeney	315 0.8×	196 0.7×	20 0.1×	113 1.0×	15 0.1×	18	686
Steven Y. Chang	142 0.4×	78 0.3×	22 0.1×	175 1.5×	50 0.5×	28	630
Audrey Imbert	349 0.9×	187 0.6×	39 0.3×	146 1.3×	17 0.2×	15	814

Countries citing papers authored by Chin-Pyng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chin-Pyng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Pyng Wu. 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 Chin-Pyng Wu. The network helps show where Chin-Pyng Wu may publish in the future.

Co-authorship network of co-authors of Chin-Pyng Wu

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

All Works

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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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