Jachinta E. Rooney

632 total citations
9 papers, 530 citations indexed

About

Jachinta E. Rooney is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Jachinta E. Rooney has authored 9 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Immunology and Allergy. Recurrent topics in Jachinta E. Rooney's work include Muscle Physiology and Disorders (8 papers), Cell Adhesion Molecules Research (3 papers) and Cellular Mechanics and Interactions (3 papers). Jachinta E. Rooney is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Cell Adhesion Molecules Research (3 papers) and Cellular Mechanics and Interactions (3 papers). Jachinta E. Rooney collaborates with scholars based in United States and India. Jachinta E. Rooney's co-authors include Dean J. Burkin, Jennifer V. Welser, Stephen J. Kaufman, Ryan D. Wuebbles, Zipora Yablonka‐Reuveni, Bradley L. Hodges, Susan Tamowski, William J. Hatton, Bryan A. Haines and Rebecca A. Evans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Cell Science.

In The Last Decade

Jachinta E. Rooney

9 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jachinta E. Rooney United States	7	452	147	109	104	74	9	530
Patrizia Barzaghi Switzerland	8	555 1.2×	130 0.9×	78 0.7×	132 1.3×	79 1.1×	9	653
Diane E. Frank United States	9	529 1.2×	115 0.8×	44 0.4×	155 1.5×	96 1.3×	15	716
Kinga I. Gawlik Sweden	16	716 1.6×	294 2.0×	98 0.9×	154 1.5×	74 1.0×	22	832
Claudia Di Blasi Italy	16	582 1.3×	77 0.5×	77 0.7×	107 1.0×	119 1.6×	26	657
Fernanda Bajanca Portugal	12	391 0.9×	53 0.4×	81 0.7×	122 1.2×	29 0.4×	18	493
E. Martoni Italy	10	310 0.7×	131 0.9×	48 0.4×	96 0.9×	58 0.8×	15	462
Ryan D. Wuebbles United States	13	404 0.9×	53 0.4×	53 0.5×	39 0.4×	77 1.0×	22	468
Sophie Liot France	7	418 0.9×	26 0.2×	133 1.2×	43 0.4×	28 0.4×	10	594
Claude Guérin Canada	9	360 0.8×	29 0.2×	62 0.6×	61 0.6×	71 1.0×	11	455

Countries citing papers authored by Jachinta E. Rooney

Since Specialization

Citations

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

Fields of papers citing papers by Jachinta E. Rooney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jachinta E. Rooney. 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 Jachinta E. Rooney. The network helps show where Jachinta E. Rooney may publish in the future.

Co-authorship network of co-authors of Jachinta E. Rooney

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

All Works

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9 of 9 papers shown

Mohassel, Payam, Jachinta E. Rooney, Yaqun Zou, et al.. (2025). Collagen type VI regulates TGF-β bioavailability in skeletal muscle in mice. Journal of Clinical Investigation. 135(9). 3 indexed citations

Mohassel, Payam, et al.. (2023). P425 Inhibition of TGFβ signaling pathway as a therapeutic approach in collagen VI-related muscular dystrophy. Neuromuscular Disorders. 33. S158–S159. 1 indexed citations

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

Wuebbles, Ryan D., et al.. (2011). Transgenic overexpression of the α7 integrin reduces muscle pathology and improves viability in the dyW mouse model of merosin-deficient congenital muscular dystrophy type 1A. Journal of Cell Science. 124(13). 2287–2297. 37 indexed citations

Rooney, Jachinta E., et al.. (2009). Laminin-111 protein therapy prevents muscle disease in the mdx mouse model for Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences. 106(19). 7991–7996. 108 indexed citations

Welser, Jennifer V., Jachinta E. Rooney, Cherie A. Singer, et al.. (2009). Myotendinous Junction Defects and Reduced Force Transmission in Mice that Lack α7 Integrin and Utrophin. American Journal Of Pathology. 175(4). 1545–1554. 40 indexed citations

Rooney, Jachinta E., et al.. (2008). Laminin-111 Restores Regenerative Capacity in a Mouse Model for α7 Integrin Congenital Myopathy. American Journal Of Pathology. 174(1). 256–264. 61 indexed citations

Rooney, Jachinta E., et al.. (2006). Severe muscular dystrophy in mice that lack dystrophin and α7 integrin. Journal of Cell Science. 119(11). 2185–2195. 129 indexed citations

Welser, Jennifer V., et al.. (2005). Role for the α7β1 integrin in vascular development and integrity. Developmental Dynamics. 234(1). 11–21. 76 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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