Dah-Jyuu Wang

1.3k total citations
12 papers, 883 citations indexed

About

Dah-Jyuu Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Dah-Jyuu Wang has authored 12 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Dah-Jyuu Wang's work include Muscle Physiology and Disorders (6 papers), Advanced MRI Techniques and Applications (6 papers) and Muscle activation and electromyography studies (4 papers). Dah-Jyuu Wang is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Advanced MRI Techniques and Applications (6 papers) and Muscle activation and electromyography studies (4 papers). Dah-Jyuu Wang collaborates with scholars based in United States and India. Dah-Jyuu Wang's co-authors include Christopher G. Janson, Paola Leone, Larissa T. Bilaniuk, Rebecca J. Willcocks, William D. Rooney, William Triplett, Glenn A. Walter, H. Lee Sweeney, Sean C. Forbes and Krista Vandenborne and has published in prestigious journals such as PLoS ONE, Neurology and Radiology.

In The Last Decade

Dah-Jyuu Wang

12 papers receiving 874 citations

Peers

Dah-Jyuu Wang
Antonella Pini Italy
Tomohiro Chiyonobu Japan
Farhana E. Suleman South Africa
Darren Fernandes Australia
Yuzo Tanabe Japan
Jiangxi Xiao China
Satoko Kumada Japan
Rudolf A. Kley Germany
F. Pons France
Johannes Fleischhauer Switzerland
Antonella Pini Italy
Dah-Jyuu Wang
Citations per year, relative to Dah-Jyuu Wang Dah-Jyuu Wang (= 1×) peers Antonella Pini

Countries citing papers authored by Dah-Jyuu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dah-Jyuu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dah-Jyuu Wang. 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 Dah-Jyuu Wang. The network helps show where Dah-Jyuu Wang may publish in the future.

Co-authorship network of co-authors of Dah-Jyuu Wang

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

All Works

12 of 12 papers shown
1.
Forbes, Sean C., Rebecca J. Willcocks, William Triplett, et al.. (2020). Upper and Lower Extremities in Duchenne Muscular Dystrophy Evaluated with Quantitative MRI and Proton MR Spectroscopy in a Multicenter Cohort. Radiology. 295(3). 616–625. 27 indexed citations
2.
Willcocks, Rebecca J., William Triplett, Sean C. Forbes, et al.. (2020). MR biomarkers predict clinical function in Duchenne muscular dystrophy. Neurology. 94(9). e897–e909. 59 indexed citations
3.
Willcocks, Rebecca J., Erika Finanger, Michael J. Daniels, et al.. (2018). Skeletal muscle magnetic resonance biomarkers correlate with function and sentinel events in Duchenne muscular dystrophy. PLoS ONE. 13(3). e0194283–e0194283. 51 indexed citations
4.
Francis, Jeremy S., Vladimir Markov, Steven J. Gray, et al.. (2016). N-acetylaspartate supports the energetic demands of developmental myelination via oligodendroglial aspartoacylase. Neurobiology of Disease. 96. 323–334. 31 indexed citations
5.
Arpan, Ishu, Rebecca J. Willcocks, Sean C. Forbes, et al.. (2014). Examination of effects of corticosteroids on skeletal muscles of boys with DMD using MRI and MRS. Neurology. 83(11). 974–980. 116 indexed citations
6.
Forbes, Sean C., Glenn A. Walter, William D. Rooney, et al.. (2013). Skeletal Muscles of Ambulant Children with Duchenne Muscular Dystrophy: Validation of Multicenter Study of Evaluation with MR Imaging and MR Spectroscopy. Radiology. 269(1). 198–207. 68 indexed citations
7.
Triplett, William, Céline Baligand, Sean C. Forbes, et al.. (2013). Chemical shift-based MRI to measure fat fractions in dystrophic skeletal muscle. Magnetic Resonance in Medicine. 72(1). 8–19. 83 indexed citations
8.
Leone, Paola, David Shera, Scott McPhee, et al.. (2012). Long-Term Follow-Up After Gene Therapy for Canavan Disease. Science Translational Medicine. 4(165). 165ra163–165ra163. 205 indexed citations
9.
Assadi, Mitra, et al.. (2010). Lithium citrate reduces excessive intra-cerebral N-acetyl aspartate in Canavan disease. European Journal of Paediatric Neurology. 14(4). 354–359. 36 indexed citations
10.
Assadi, Mitra, et al.. (2007). Serial 1H-MRS in GM2 gangliosidoses. European Journal of Pediatrics. 167(3). 347–352. 10 indexed citations
11.
Nioka, Shoko, Dah-Jyuu Wang, Joohee Im, et al.. (2006). Simulation of Mb/Hb in NIRS and Oxygen Gradient in the Human and Canine Skeletal Muscles Using H-NMR and NIRS. Advances in experimental medicine and biology. 223–228. 12 indexed citations
12.
Janson, Christopher G., Scott McPhee, Larissa T. Bilaniuk, et al.. (2002). Gene Therapy of Canavan Disease: AAV-2 Vector for Neurosurgical Delivery of Aspartoacylase Gene ( ASPA ) to the Human Brain. Human Gene Therapy. 13(11). 1391–1412. 185 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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