Chuang‐Kuo Wu

114 total papers · 14.3k total citations
13 papers, 192 citations indexed

About

Chuang‐Kuo Wu is a scholar working on Neurology, Physiology and Pharmacology. According to data from OpenAlex, Chuang‐Kuo Wu has authored 13 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 4 papers in Physiology and 3 papers in Pharmacology. Recurrent topics in Chuang‐Kuo Wu's work include Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Dementia and Cognitive Impairment Research (2 papers). Chuang‐Kuo Wu is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Dementia and Cognitive Impairment Research (2 papers). Chuang‐Kuo Wu collaborates with scholars based in United States and Taiwan. Chuang‐Kuo Wu's co-authors include Changiz Geula, Nicholas Nagykery, Jing Bu, Brian R. Ott, Leonard F. M. Scinto, Robert A. Parker, Jennifer A. Chan, Jeffrey T. Joseph, Hubert H. Fernandez and George D. Papandonatos and has published in prestigious journals such as The Journal of Comparative Neurology, Journal of the American Geriatrics Society and Neurobiology of Aging.

In The Last Decade

Chuang‐Kuo Wu

12 papers receiving 187 citations

Author Peers

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

Author						Papers	Cites
Chuang‐Kuo Wu	73	59	44	40	37	13	192
Diyang Lyu	56 0.8×	15 0.3×	22 0.5×	70 1.8×	24 0.6×	23	244
Mohammad Khoshnoodi	94 1.3×	91 1.5×	9 0.2×	29 0.7×	36 1.0×	14	285
Sanna-Kaisa Herukka	116 1.6×	30 0.5×	12 0.3×	115 2.9×	38 1.0×	9	255
Olga Vajnerová	59 0.8×	27 0.5×	8 0.2×	50 1.3×	43 1.2×	14	257
Kosei Hirata	27 0.4×	73 1.2×	13 0.3×	25 0.6×	36 1.0×	18	160
Jiří Cerman	71 1.0×	25 0.4×	4 0.1×	92 2.3×	21 0.6×	10	167
Grace F. Crotty	41 0.6×	72 1.2×	11 0.3×	16 0.4×	81 2.2×	17	281
Leatha A. Clark	136 1.9×	5 0.1×	29 0.7×	61 1.5×	30 0.8×	18	245
Ignacio Álvarez	43 0.6×	30 0.5×	9 0.2×	37 0.9×	17 0.5×	27	187
Silvia Ríos‐Romenets	40 0.5×	46 0.8×	7 0.2×	27 0.7×	27 0.7×	9	217

Countries citing papers authored by Chuang‐Kuo Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chuang‐Kuo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuang‐Kuo 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 Chuang‐Kuo Wu. The network helps show where Chuang‐Kuo Wu may publish in the future.

Co-authorship network of co-authors of Chuang‐Kuo Wu

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