Yu‐Wang Chang

403 total citations
10 papers, 309 citations indexed

About

Yu‐Wang Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Yu‐Wang Chang has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cell Biology. Recurrent topics in Yu‐Wang Chang's work include Glycosylation and Glycoproteins Research (2 papers), Signaling Pathways in Disease (2 papers) and Ion channel regulation and function (2 papers). Yu‐Wang Chang is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Signaling Pathways in Disease (2 papers) and Ion channel regulation and function (2 papers). Yu‐Wang Chang collaborates with scholars based in Taiwan, United States and Australia. Yu‐Wang Chang's co-authors include Yu‐Ju Chen, Chien‐Chang Chen, Jenn‐Han Chen, Qinchuan Wang, An Chen, Chi‐Huey Wong, Tzong‐Shi Chiueh, Chen‐Wen Yao, Feng‐Yee Chang and C.-P. Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yu‐Wang Chang

10 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu‐Wang Chang Taiwan	6	202	71	34	32	24	10	309
Olga Friese United States	10	289 1.4×	90 1.3×	67 2.0×	36 1.1×	35 1.5×	16	513
Suruchi Aggarwal India	14	274 1.4×	98 1.4×	69 2.0×	13 0.4×	12 0.5×	27	439
Xiaohua Zhang China	15	176 0.9×	72 1.0×	90 2.6×	14 0.4×	36 1.5×	28	491
Xiaojuan Yu China	11	275 1.4×	29 0.4×	44 1.3×	18 0.6×	25 1.0×	24	394
Vahid Farrokhi United States	10	205 1.0×	32 0.5×	16 0.5×	11 0.3×	11 0.5×	15	315
Haruna Sato Japan	12	213 1.1×	56 0.8×	15 0.4×	10 0.3×	59 2.5×	24	398
Lina Panayiota Aristoteli Australia	8	162 0.8×	62 0.9×	15 0.4×	20 0.6×	7 0.3×	9	352
Nishi Patel United States	9	182 0.9×	24 0.3×	26 0.8×	45 1.4×	7 0.3×	26	342
Esben Trabjerg Denmark	6	166 0.8×	95 1.3×	19 0.6×	6 0.2×	14 0.6×	9	268
Lynn A. Beer United States	13	259 1.3×	137 1.9×	45 1.3×	41 1.3×	11 0.5×	21	442

Countries citing papers authored by Yu‐Wang Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Wang Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wang Chang. 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 Yu‐Wang Chang. The network helps show where Yu‐Wang Chang may publish in the future.

Co-authorship network of co-authors of Yu‐Wang Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Chang, Yu‐Wang, et al.. (2024). Exploring the role of spinal astrocytes in the onset of hyperalgesic priming signals in acid-induced chronic muscle pain. PNAS Nexus. 3(9). pgae362–pgae362. 2 indexed citations

Chang, Yu‐Wang, et al.. (2023). Identification of Novel Targeting Sites of Calcineurin and CaMKII in Human CaV3.2 T-Type Calcium Channel. Biomedicines. 11(11). 2891–2891. 1 indexed citations

Chang, Yao‐Ming, et al.. (2022). Multiomic analyses reveal enriched glycolytic processes in β-myosin heavy chain-expressed cardiomyocytes in early cardiac hypertrophy. SHILAP Revista de lepidopterología. 1. 100011–100011. 1 indexed citations

Herzig, Volker, Yanni K.‐Y. Chin, Zoltan Dekan, et al.. (2022). The Tarantula Toxin ω-Avsp1a Specifically Inhibits Human CaV3.1 and CaV3.3 via the Extracellular S3-S4 Loop of the Domain 1 Voltage-Sensor. Biomedicines. 10(5). 1066–1066. 3 indexed citations

Chang, Yu‐Wang, et al.. (2021). FAK regulates cardiomyocyte mitochondrial fission and function through Drp1. FEBS Journal. 289(7). 1897–1910. 17 indexed citations

Chang, Yao‐Ming, Li Ling, Ya-Ting Chang, et al.. (2017). Three TF Co-expression Modules Regulate Pressure-Overload Cardiac Hypertrophy in Male Mice. Scientific Reports. 7(1). 7560–7560. 6 indexed citations

Chang, Yu‐Wang, et al.. (2013). Quantitative Phosphoproteomic Study of Pressure-Overloaded Mouse Heart Reveals Dynamin-Related Protein 1 as a Modulator of Cardiac Hypertrophy. Molecular & Cellular Proteomics. 12(11). 3094–3107. 59 indexed citations

Chen, Yu‐Ju, et al.. (2005). Carbohydrate‐Encapsulated Gold Nanoparticles for Rapid Target‐Protein Identification and Binding‐Epitope Mapping. ChemBioChem. 6(7). 1169–1173. 62 indexed citations

Juan, Hsueh‐Fen, Jenn‐Han Chen, Wei‐Tse Hsu, et al.. (2004). Identification of tumor‐associated plasma biomarkers using proteomic techniques: From mouse to human. PROTEOMICS. 4(9). 2766–2775. 68 indexed citations

10.

Chen, Jenn‐Han, Yu‐Wang Chang, Chen‐Wen Yao, et al.. (2004). Plasma proteome of severe acute respiratory syndrome analyzed by two-dimensional gel electrophoresis and mass spectrometry. Proceedings of the National Academy of Sciences. 101(49). 17039–17044. 90 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.

Explore authors with similar magnitude of impact