Michele Yang

2.7k total citations
33 papers, 872 citations indexed

About

Michele Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Michele Yang has authored 33 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 5 papers in Genetics. Recurrent topics in Michele Yang's work include Muscle Physiology and Disorders (10 papers), Cardiomyopathy and Myosin Studies (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Michele Yang is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Cardiomyopathy and Myosin Studies (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Michele Yang collaborates with scholars based in United States, United Kingdom and Canada. Michele Yang's co-authors include Kenneth L. Tyler, Kevin Messacar, Teri Schreiner, Samuel R. Dominguez, Carol Glaser, Keith Van Haren, Joshua Goldstein, Jonathan W. Mink, Richard S. Finkel and Jennifer Andrews and has published in prestigious journals such as Neurology, PEDIATRICS and Annals of Neurology.

In The Last Decade

Michele Yang

33 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Yang United States 15 390 258 217 182 115 33 872
Sumit Verma United States 15 431 1.1× 104 0.4× 91 0.4× 112 0.6× 83 0.7× 75 918
Gabriel Chow United Kingdom 12 261 0.7× 98 0.4× 69 0.3× 77 0.4× 131 1.1× 34 650
Gian Maria Cavallini Italy 20 216 0.6× 53 0.2× 143 0.7× 181 1.0× 46 0.4× 85 1.3k
Aravindhan Veerapandiyan United States 16 389 1.0× 37 0.1× 244 1.1× 178 1.0× 111 1.0× 72 775
H.S. Chan Hong Kong 15 206 0.5× 52 0.2× 86 0.4× 57 0.3× 132 1.1× 58 629
Waney Squier United Kingdom 17 255 0.7× 127 0.5× 83 0.4× 102 0.6× 186 1.6× 34 901
Anamarli Nucci Brazil 21 355 0.9× 51 0.2× 205 0.9× 118 0.6× 595 5.2× 92 1.2k
Elena Rizzo Switzerland 17 93 0.2× 173 0.7× 44 0.2× 132 0.7× 43 0.4× 45 1.0k
Neil Friedman United States 20 242 0.6× 102 0.4× 56 0.3× 126 0.7× 294 2.6× 59 1.2k

Countries citing papers authored by Michele Yang

Since Specialization
Citations

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

Fields of papers citing papers by Michele Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele Yang. 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 Michele Yang. The network helps show where Michele Yang may publish in the future.

Co-authorship network of co-authors of Michele Yang

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

All Works

20 of 20 papers shown
1.
Gorokhova, Svetlana, Joachim Schessl, Yaqun Zou, et al.. (2023). Unusually severe muscular dystrophy upon in-frame deletion of the dystrophin rod domain and lack of compensation by membrane-localized utrophin. Med. 4(4). 245–251.e3. 3 indexed citations
2.
Joshi, Charuta, et al.. (2021). Risk of Admission to the Emergency Room/Inpatient Service After a Neurology Telemedicine Visit During COVID-19 Pandemic. Pediatric Neurology. 122. 15–19. 8 indexed citations
3.
James, Katherine A., Jane Gralla, Angela S. Czaja, et al.. (2020). Left ventricular dysfunction in Duchenne muscular dystrophy. Cardiology in the Young. 30(2). 171–176. 12 indexed citations
4.
Nelson, Julie A., Michele Yang, Abigail Collins, et al.. (2020). Unusual Neuroimaging in a Case of Rapidly Progressive Juvenile-Onset Krabbe Disease. Journal of Child Neurology. 35(10). 649–653. 1 indexed citations
5.
Graham, Robert J., Francesco Muntoni, Imelda Hughes, et al.. (2019). Mortality and respiratory support in X-linked myotubular myopathy: a RECENSUS retrospective analysis. Archives of Disease in Childhood. 105(4). 332–338. 25 indexed citations
6.
Beck, David B., T. Subramanian, S. Vijayalingam, et al.. (2019). A pathogenic CtBP1 missense mutation causes altered cofactor binding and transcriptional activity. Neurogenetics. 20(3). 129–143. 14 indexed citations
7.
8.
Messacar, Kevin, Michele Yang, John A. Maloney, et al.. (2017). Outcomes of Colorado children with acute flaccid myelitis at 1 year. Neurology. 89(2). 129–137. 55 indexed citations
9.
Messacar, Kevin, Michele Yang, John A. Maloney, et al.. (2016). Neurologic Follow-Up of 12 Colorado Children with Acute Flaccid Myelitis at One Year (S10.004). Neurology. 86(16_supplement). 3 indexed citations
10.
Zhu, Yong, Paul A. Romitti, Kristin M. Conway, et al.. (2014). Genitourinary health in a population-based cohort of males with Duchenne and Becker Muscular dystrophies. Muscle & Nerve. 52(1). 22–27. 4 indexed citations
11.
Moss, Marc, Michele Yang, Madison Macht, et al.. (2014). Screening for critical illness polyneuromyopathy with single nerve conduction studies. Intensive Care Medicine. 40(5). 683–690. 51 indexed citations
12.
Yang, Michele, et al.. (2014). CNS myelination requires cytoplasmic dynein function. Developmental Dynamics. 244(2). 134–145. 25 indexed citations
13.
Kang, Peter B., Clifton L. Gooch, Michael McDermott, et al.. (2013). The motor neuron response to SMN1 deficiency in spinal muscular atrophy. Muscle & Nerve. 49(5). 636–644. 28 indexed citations
14.
West, Nancy A., Michele Yang, David Weitzenkamp, et al.. (2013). Patterns of Growth in Ambulatory Males with Duchenne Muscular Dystrophy. The Journal of Pediatrics. 163(6). 1759–1763.e1. 34 indexed citations
15.
Barber, Brent J., Jennifer Andrews, Zhenqiang Lu, et al.. (2013). Oral Corticosteroids and Onset of Cardiomyopathy in Duchenne Muscular Dystrophy. The Journal of Pediatrics. 163(4). 1080–1084.e1. 101 indexed citations
16.
Glanzman, Allan M., Michael McDermott, Jacqueline Montes, et al.. (2011). Validation of the Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders (CHOP INTEND). Pediatric Physical Therapy. 23(4). 322–326. 95 indexed citations
17.
Reay, Daniel P., Michele Yang, Jon F. Watchko, et al.. (2011). Systemic delivery of NEMO binding domain/IKKγ inhibitory peptide to young mdx mice improves dystrophic skeletal muscle histopathology. Neurobiology of Disease. 43(3). 598–608. 39 indexed citations
18.
Foley, A. Reghan, Ying Hu, Yaqun Zou, et al.. (2010). Large genomic deletions: A novel cause of Ullrich congenital muscular dystrophy. Annals of Neurology. 69(1). 206–211. 33 indexed citations
19.
Yang, Michele & Richard S. Finkel. (2009). Overview of paediatric neuromuscular disorders and related pulmonary issues: diagnostic and therapeutic considerations. Paediatric Respiratory Reviews. 11(1). 9–17. 11 indexed citations
20.
Narayanaswami, Pushpa, Kristine Chapman, Michele Yang, & Seward B. Rutkove. (2007). Psoriatic Arthritis-Associated Polyneuropathy: A Report of Three Cases. Journal of Clinical Neuromuscular Disease. 9(1). 248–251. 7 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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