Ryan D. Wuebbles

633 total citations
22 papers, 468 citations indexed

About

Ryan D. Wuebbles is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Ryan D. Wuebbles has authored 22 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Genetics. Recurrent topics in Ryan D. Wuebbles's work include Muscle Physiology and Disorders (17 papers), Cardiomyopathy and Myosin Studies (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Ryan D. Wuebbles is often cited by papers focused on Muscle Physiology and Disorders (17 papers), Cardiomyopathy and Myosin Studies (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Ryan D. Wuebbles collaborates with scholars based in United States, Portugal and Singapore. Ryan D. Wuebbles's co-authors include Peter L. Jones, Dean J. Burkin, Jachinta E. Rooney, Bradley L. Hodges, Peter Lloyd Jones, Pam M. Van Ry, Andreia M. Nunes, Joe N. Kornegay, Takako I. Jones and Zhuangjie Li and has published in prestigious journals such as Journal of Cell Science, Chemical Physics Letters and Human Molecular Genetics.

In The Last Decade

Ryan D. Wuebbles

22 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan D. Wuebbles United States 13 404 81 77 54 53 22 468
C. Sewry United Kingdom 13 364 0.9× 91 1.1× 134 1.7× 45 0.8× 32 0.6× 33 455
Carsten G. Bönnemann United States 3 304 0.8× 86 1.1× 93 1.2× 64 1.2× 25 0.5× 5 368
Bruno F. Gavassini Italy 9 352 0.9× 57 0.7× 122 1.6× 56 1.0× 30 0.6× 10 401
Dwi U. Kemaladewi Netherlands 11 515 1.3× 66 0.8× 55 0.7× 164 3.0× 29 0.5× 16 609
Jaya Punetha United States 11 319 0.8× 85 1.0× 94 1.2× 139 2.6× 31 0.6× 15 437
Susana Quijano‐Roy France 13 275 0.7× 199 2.5× 45 0.6× 58 1.1× 137 2.6× 32 466
AK Lampe United Kingdom 6 310 0.8× 62 0.8× 55 0.7× 113 2.1× 55 1.0× 8 453
Claudia Di Blasi Italy 16 582 1.4× 101 1.2× 119 1.5× 61 1.1× 77 1.5× 26 657
Fernanda Bajanca Portugal 12 391 1.0× 37 0.5× 29 0.4× 46 0.9× 81 1.5× 18 493
Patrizia Barzaghi Switzerland 8 555 1.4× 51 0.6× 79 1.0× 76 1.4× 78 1.5× 9 653

Countries citing papers authored by Ryan D. Wuebbles

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. Wuebbles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Wuebbles. 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 Ryan D. Wuebbles. The network helps show where Ryan D. Wuebbles may publish in the future.

Co-authorship network of co-authors of Ryan D. Wuebbles

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan D. Wuebbles. A scholar is included among the top collaborators of Ryan D. Wuebbles 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 Ryan D. Wuebbles. Ryan D. Wuebbles 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.
Wuebbles, Ryan D., et al.. (2023). A gene therapy approach for the treatment of limb-girdle muscular dystrophy 2C/R5. Molecular Therapy — Methods & Clinical Development. 29. 160–161. 1 indexed citations
2.
Wuebbles, Ryan D., et al.. (2022). Spatio-temporal gait differences in Facioscapulohumeral muscular dystrophy during single and dual task overground walking - A pilot study. Journal of Clinical and Translational Research. 8(2). 166–175. 2 indexed citations
3.
Jones, Peter L., et al.. (2022). A novel smartphone application is reliable for repeat administration and comparable to the Tekscan Strideway for spatiotemporal gait. Measurement. 192. 110882–110882. 8 indexed citations
4.
Wuebbles, Ryan D., et al.. (2022). Transgenic overexpression of α7 integrin in smooth muscle attenuates allergen‐induced airway inflammation in a murine model of asthma. FASEB BioAdvances. 4(11). 724–740. 3 indexed citations
5.
Lugade, Vipul, et al.. (2022). Longitudinal Analysis Of Mobile Smartphone Application For The Assessment Of Facioscapulohumeral Muscular Dystrophy (FSHD) Gait. Medicine & Science in Sports & Exercise. 54(9S). 562–562. 1 indexed citations
6.
Jones, Peter Lloyd, Takako I. Jones, Ryan D. Wuebbles, et al.. (2022). Methylation Percentage Among FSHD Type 1 Relates To Gait Impairment Analyzed Using Custom Gait Application. Medicine & Science in Sports & Exercise. 54(9S). 563–563. 1 indexed citations
7.
Constantino, Nora, et al.. (2021). Analysis Of Mobile Smartphone Application For The Assessment Of Facioscapulohumeral Muscular Dystrophy (FSHD) Gait. Medicine & Science in Sports & Exercise. 53(8S). 137–137. 1 indexed citations
8.
Jones, Takako I., Guo-Liang Chew, Ryan D. Wuebbles, et al.. (2020). Transgenic mice expressing tunable levels of DUX4 develop characteristic facioscapulohumeral muscular dystrophy-like pathophysiology ranging in severity. Skeletal Muscle. 10(1). 8–8. 40 indexed citations
9.
Wuebbles, Ryan D., et al.. (2019). Human Galectin-1 Improves Sarcolemma Stability and Muscle Vascularization in the mdx Mouse Model of Duchenne Muscular Dystrophy. Molecular Therapy — Methods & Clinical Development. 13. 145–153. 7 indexed citations
10.
Wuebbles, Ryan D., et al.. (2019). Laminin-111 protein therapy enhances muscle regeneration and repair in the GRMD dog model of Duchenne muscular dystrophy. Human Molecular Genetics. 28(16). 2686–2695. 17 indexed citations
11.
12.
Ry, Pam M. Van, et al.. (2015). Galectin-1 Protein Therapy Prevents Pathology and Improves Muscle Function in the mdx Mouse Model of Duchenne Muscular Dystrophy. Molecular Therapy. 23(8). 1285–1297. 32 indexed citations
13.
Wuebbles, Ryan D., et al.. (2013). Levels of α7 integrin and laminin-α2 are increased following prednisone treatment in themdxmouse and GRMD dog models of Duchenne muscular dystrophy. Disease Models & Mechanisms. 6(5). 1175–84. 16 indexed citations
14.
Rooney, Jachinta E., et al.. (2012). Laminin-111 Protein Therapy Reduces Muscle Pathology and Improves Viability of a Mouse Model of Merosin-Deficient Congenital Muscular Dystrophy. American Journal Of Pathology. 180(4). 1593–1602. 75 indexed citations
15.
16.
Wuebbles, Ryan D., et al.. (2009). FSHD region gene 1 (FRG1) is crucial for angiogenesis linking FRG1 to facioscapulohumeral muscular dystrophy-associated vasculopathy. Disease Models & Mechanisms. 2(5-6). 267–274. 43 indexed citations
17.
Wuebbles, Ryan D., et al.. (2008). Muscular dystrophy candidate gene FRG1 is critical for muscle development. Developmental Dynamics. 238(6). 1502–1512. 42 indexed citations
18.
Wuebbles, Ryan D. & Peter L. Jones. (2007). Engineered telomeres in transgenic Xenopus laevis. Transgenic Research. 16(3). 377–384. 6 indexed citations
19.
Wuebbles, Ryan D. & Peter Lloyd Jones. (2004). DNA damage repair and transcription. Cellular and Molecular Life Sciences. 61(17). 2148–53. 17 indexed citations
20.
Li, Zhuangjie, et al.. (2002). Rate constant measurement for the reaction of OClO with NO at 220–367 K. Chemical Physics Letters. 354(5-6). 491–497. 14 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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