Chih-Wei Wu

14 total papers · 1.1k total citations
13 papers, 840 citations indexed

About

Chih-Wei Wu is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Neurology. According to data from OpenAlex, Chih-Wei Wu has authored 13 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Neurology. Recurrent topics in Chih-Wei Wu's work include Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Respiratory Support and Mechanisms (2 papers). Chih-Wei Wu is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Respiratory Support and Mechanisms (2 papers). Chih-Wei Wu collaborates with scholars based in Taiwan, Japan and Denmark. Chih-Wei Wu's co-authors include Yu‐Min Kuo, Chauying J. Jen, Lung Yu, Julie Y.H. Chan, Alice Y. Chang, Shih-Ying Wu, Ya-Ting Chang, Leila Kolios, Steven L. Henry and Chia‐Yu Lin and has published in prestigious journals such as Circulation Research, Journal of Applied Physiology and Critical Care Medicine.

In The Last Decade

Chih-Wei Wu

13 papers receiving 822 citations

Author Peers

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

Author						Papers	Cites
Chih-Wei Wu	194	192	175	167	154	13	840
Delphine Meffre	100 0.5×	258 1.3×	137 0.8×	63 0.4×	118 0.8×	21	975
Atsushi Takaki	235 1.2×	333 1.7×	233 1.3×	50 0.3×	124 0.8×	22	1.0k
Lynnette M. Gerhold	78 0.4×	273 1.4×	93 0.5×	68 0.4×	97 0.6×	12	952
Marc‐André Dansereau	401 2.1×	247 1.3×	49 0.3×	71 0.4×	283 1.8×	13	1.0k
Federico Abbiati	196 1.0×	223 1.2×	77 0.4×	38 0.2×	89 0.6×	16	819
Ilaria Roglio	262 1.4×	275 1.4×	58 0.3×	96 0.6×	50 0.3×	13	737
Patricia Méchighel	300 1.5×	252 1.3×	41 0.2×	176 1.1×	267 1.7×	10	859
Sylvain Nadeau	215 1.1×	230 1.2×	53 0.3×	37 0.2×	338 2.2×	10	902
William A. Banks	249 1.3×	268 1.4×	57 0.3×	152 0.9×	165 1.1×	12	882
Suzanne M. de la Monte	279 1.4×	404 2.1×	53 0.3×	36 0.2×	119 0.8×	11	1.0k

Countries citing papers authored by Chih-Wei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chih-Wei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih-Wei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Wei Wu. A scholar is included among the top collaborators of Chih-Wei 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 Chih-Wei Wu. Chih-Wei 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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