Chia‐Yi Kuan

630 total citations
9 papers, 526 citations indexed

About

Chia‐Yi Kuan is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Chia‐Yi Kuan has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Chia‐Yi Kuan's work include Autophagy in Disease and Therapy (2 papers), Glioma Diagnosis and Treatment (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Chia‐Yi Kuan is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Glioma Diagnosis and Treatment (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Chia‐Yi Kuan collaborates with scholars based in United States, Taiwan and Austria. Chia‐Yi Kuan's co-authors include Kevin A. Burns, Pasko Rakić, Robert M. Silva, Robert E. Burke, Brian L. Murphy, Steve C. Danzer, Yu Sun, Damien D. Pearse, Mario E. Goetz and Thomas Nicolaus and has published in prestigious journals such as European Journal of Neuroscience, Movement Disorders and Glia.

In The Last Decade

Chia‐Yi Kuan

9 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chia‐Yi Kuan United States	8	279	174	115	98	59	9	526
Zhenzhong Ma United States	11	241 0.9×	237 1.4×	75 0.7×	85 0.9×	59 1.0×	17	682
Fleur Davey United Kingdom	10	217 0.8×	194 1.1×	97 0.8×	47 0.5×	31 0.5×	13	470
Cherine Belal United States	6	357 1.3×	275 1.6×	45 0.4×	105 1.1×	61 1.0×	6	616
Reinhold Mueller Germany	9	253 0.9×	223 1.3×	101 0.9×	113 1.2×	38 0.6×	11	619
Shahin Sakhi United States	10	454 1.6×	253 1.5×	82 0.7×	129 1.3×	52 0.9×	11	789
Spyridon Theofilopoulos Sweden	14	442 1.6×	215 1.2×	85 0.7×	28 0.3×	68 1.2×	20	733
Mathias Cacquevel France	5	230 0.8×	127 0.7×	47 0.4×	119 1.2×	26 0.4×	5	523
Christiane Fages France	12	247 0.9×	218 1.3×	136 1.2×	146 1.5×	31 0.5×	15	551
Yuntao Duan United States	9	313 1.1×	277 1.6×	116 1.0×	46 0.5×	20 0.3×	12	549
Kert Mätlik Finland	10	157 0.6×	183 1.1×	46 0.4×	106 1.1×	44 0.7×	16	486

Countries citing papers authored by Chia‐Yi Kuan

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Yi Kuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Yi Kuan. 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 Chia‐Yi Kuan. The network helps show where Chia‐Yi Kuan may publish in the future.

Co-authorship network of co-authors of Chia‐Yi Kuan

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

All Works

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9 of 9 papers shown

Lee, Yi‐Hsuan, Chunhua Lin, Yu Sun, et al.. (2015). Aryl hydrocarbon receptor mediates both proinflammatory and anti‐inflammatory effects in lipopolysaccharide‐activated microglia. Glia. 63(7). 1138–1154. 94 indexed citations

Morozov, Yury M., Yu Sun, Chia‐Yi Kuan, & Pasko Rakić. (2015). Alteration of SLP2‐like immunolabeling in mitochondria signifies early cellular damage in developing and adult mouse brain. European Journal of Neuroscience. 43(2). 245–257. 12 indexed citations

Yang, Dianer & Chia‐Yi Kuan. (2014). Anti‐tissue Plasminogen Activator (tPA) as an Effective Therapy of Neonatal Hypoxia–Ischemia with and without Inflammation. CNS Neuroscience & Therapeutics. 21(4). 367–373. 9 indexed citations

Burns, Kevin A., Brian L. Murphy, Steve C. Danzer, & Chia‐Yi Kuan. (2008). Developmental and post‐injury cortical gliogenesis: A Genetic fate‐mapping study with Nestin‐CreER mice. Glia. 57(10). 1115–1129. 57 indexed citations

Wang, Linping, et al.. (2005). Retinoic acid induces CDK inhibitors and growth arrest specific (Gas) genes in neural crest cells. Development Growth & Differentiation. 47(3). 119–130. 24 indexed citations

Burns, Kevin A. & Chia‐Yi Kuan. (2005). Low doses of bromo‐ and iododeoxyuridine produce near‐saturation labeling of adult proliferative populations in the dentate gyrus. European Journal of Neuroscience. 21(3). 803–807. 68 indexed citations

Silva, Robert M., Chia‐Yi Kuan, Pasko Rakić, & Robert E. Burke. (2005). Mixed lineage kinase–c‐jun N‐terminal kinase signaling pathway: A new therapeutic target in Parkinson's disease. Movement Disorders. 20(6). 653–664. 71 indexed citations

Brecht, Stephan, Rainer Kirchhof, Ansgar M. Chromik, et al.. (2005). Specific pathophysiological functions of JNK isoforms in the brain. European Journal of Neuroscience. 21(2). 363–377. 190 indexed citations

D’Mello, Santosh R., Chia‐Yi Kuan, Richard A. Flavell, & Pasko Rakić. (2000). Caspase‐3 is required for apoptosis‐associated DNA fragmentation but not for cell death in neurons deprived of potassium. Journal of Neuroscience Research. 59(1). 24–31. 1 indexed citations

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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