Marshall W. Hogarth

1.4k total citations
18 papers, 885 citations indexed

About

Marshall W. Hogarth is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Marshall W. Hogarth has authored 18 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in Marshall W. Hogarth's work include Muscle Physiology and Disorders (14 papers), Adipose Tissue and Metabolism (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Marshall W. Hogarth is often cited by papers focused on Muscle Physiology and Disorders (14 papers), Adipose Tissue and Metabolism (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Marshall W. Hogarth collaborates with scholars based in United States, Australia and United Kingdom. Marshall W. Hogarth's co-authors include Jyoti K. Jaiswal, Aurélia Defour, Kanneboyina Nagaraju, Adam Horn, Jan van der Meulen, Terence A. Partridge, Davi A. G. Mázala, James S. Novak, Kathryn N. North and Jane T. Seto and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Marshall W. Hogarth

18 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marshall W. Hogarth United States 14 649 220 206 139 133 18 885
Anne‐Sophie Armand France 20 968 1.5× 130 0.6× 128 0.6× 100 0.7× 173 1.3× 35 1.2k
R. W. Tsika United States 20 818 1.3× 215 1.0× 127 0.6× 245 1.8× 297 2.2× 29 1.0k
Eloisa De Sá Moreira Brazil 9 905 1.4× 188 0.9× 133 0.6× 195 1.4× 244 1.8× 13 1.1k
Giulia Minetti Switzerland 12 1.1k 1.7× 392 1.8× 114 0.6× 165 1.2× 87 0.7× 13 1.2k
Marie‐Claude Sincennes Canada 12 855 1.3× 213 1.0× 97 0.5× 127 0.9× 36 0.3× 16 1.1k
Daniela L. Rebolledo Chile 14 436 0.7× 167 0.8× 61 0.3× 104 0.7× 37 0.3× 20 699
Marc A. Egerman United States 7 689 1.1× 414 1.9× 52 0.3× 167 1.2× 69 0.5× 9 963
Patrizia Ciscato Italy 17 826 1.3× 115 0.5× 104 0.5× 138 1.0× 212 1.6× 47 1.1k
Silvia Consalvi Italy 15 1.2k 1.8× 271 1.2× 143 0.7× 66 0.5× 56 0.4× 20 1.3k
Jae‐Sung You United States 18 955 1.5× 442 2.0× 81 0.4× 583 4.2× 81 0.6× 26 1.3k

Countries citing papers authored by Marshall W. Hogarth

Since Specialization
Citations

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

Fields of papers citing papers by Marshall W. Hogarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marshall W. Hogarth. 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 Marshall W. Hogarth. The network helps show where Marshall W. Hogarth may publish in the future.

Co-authorship network of co-authors of Marshall W. Hogarth

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

All Works

18 of 18 papers shown
1.
Hogarth, Marshall W., et al.. (2025). Exploring the therapeutic potential of fibroadipogenic progenitors in muscle disease. Journal of Neuromuscular Diseases. 12(1). 3–14. 2 indexed citations
2.
Uapinyoying, Prech, Marshall W. Hogarth, Davi A. G. Mázala, et al.. (2023). Single-cell transcriptomic analysis of the identity and function of fibro/adipogenic progenitors in healthy and dystrophic muscle. iScience. 26(8). 107479–107479. 12 indexed citations
3.
Uapinyoying, Prech, Marshall W. Hogarth, Davi A. G. Mázala, et al.. (2022). Single Cell Transcriptomic Analysis of the Identity and Function of Fibro/Adipogenic Progenitors in Healthy and Dystrophic Muscle. SSRN Electronic Journal. 1 indexed citations
4.
Hogarth, Marshall W., Prech Uapinyoying, Davi A. G. Mázala, & Jyoti K. Jaiswal. (2021). Pathogenic role and therapeutic potential of fibro-adipogenic progenitors in muscle disease. Trends in Molecular Medicine. 28(1). 8–11. 14 indexed citations
5.
Sreetama, Sen Chandra, Karine Charton, Marshall W. Hogarth, et al.. (2021). Anoctamin 5 Knockout Mouse Model Recapitulates LGMD2L Muscle Pathology and Offers Insight Into in vivo Functional Deficits. Journal of Neuromuscular Diseases. 8(s2). S243–S255. 7 indexed citations
6.
Mázala, Davi A. G., James S. Novak, Marshall W. Hogarth, et al.. (2020). TGF-β–driven muscle degeneration and failed regeneration underlie disease onset in a DMD mouse model. JCI Insight. 5(6). 97 indexed citations
7.
Hogarth, Marshall W., Aurélia Defour, Christopher A. Lazarski, et al.. (2019). Fibroadipogenic progenitors are responsible for muscle loss in limb girdle muscular dystrophy 2B. Nature Communications. 10(1). 2430–2430. 105 indexed citations
8.
Debattisti, Valentina, Adam Horn, R. P. Singh, et al.. (2019). Dysregulation of Mitochondrial Ca2+ Uptake and Sarcolemma Repair Underlie Muscle Weakness and Wasting in Patients and Mice Lacking MICU1. Cell Reports. 29(5). 1274–1286.e6. 74 indexed citations
9.
Garton, Fleur C., Peter J. Houweling, Damjan Vukcevic, et al.. (2018). The Effect of ACTN3 Gene Doping on Skeletal Muscle Performance. The American Journal of Human Genetics. 102(5). 845–857. 18 indexed citations
10.
Novak, James S., Marshall W. Hogarth, J Boehler, et al.. (2017). Myoblasts and macrophages are required for therapeutic morpholino antisense oligonucleotide delivery to dystrophic muscle. Nature Communications. 8(1). 40 indexed citations
11.
Boehler, J, Marshall W. Hogarth, Matthew D. Barberio, et al.. (2017). Effect of endurance exercise on microRNAs in myositis skeletal muscle—A randomized controlled study. PLoS ONE. 12(8). e0183292–e0183292. 33 indexed citations
12.
Horn, Adam, Jan van der Meulen, Aurélia Defour, et al.. (2017). Mitochondrial redox signaling enables repair of injured skeletal muscle cells. Science Signaling. 10(495). 114 indexed citations
13.
Defour, Aurélia, Sushma Medikayala, Jan van der Meulen, et al.. (2017). Annexin A2 links poor myofiber repair with inflammation and adipogenic replacement of the injured muscle. Human Molecular Genetics. 26(11). 1979–1991. 49 indexed citations
14.
Vila, Maria Candida, Sree Rayavarapu, Marshall W. Hogarth, et al.. (2016). Mitochondria mediate cell membrane repair and contribute to Duchenne muscular dystrophy. Cell Death and Differentiation. 24(2). 330–342. 108 indexed citations
15.
Hogarth, Marshall W., Fleur C. Garton, Peter J. Houweling, et al.. (2015). Analysis of theACTN3heterozygous genotype suggests that α-actinin-3 controls sarcomeric composition and muscle function in a dose-dependent fashion. Human Molecular Genetics. 25(5). 866–877. 36 indexed citations
16.
Vila, Maria Candida, James S. Novak, Sree Rayavarapu, et al.. (2015). Elusive sources of variability of dystrophin rescue by exon skipping. Skeletal Muscle. 5(1). 44–44. 20 indexed citations
17.
Seto, Jane T., Kate Quinlan, Monkol Lek, et al.. (2013). ACTN3 genotype influences muscle performance through the regulation of calcineurin signaling. Journal of Clinical Investigation. 123(10). 4255–4263. 116 indexed citations
18.
Yang, Nan, Aaron Schindeler, Michelle M. McDonald, et al.. (2011). α-Actinin-3 deficiency is associated with reduced bone mass in human and mouse. Bone. 49(4). 790–798. 39 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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