Melissa Goddard

504 total citations
11 papers, 146 citations indexed

About

Melissa Goddard is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Melissa Goddard has authored 11 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Genetics. Recurrent topics in Melissa Goddard's work include Muscle Physiology and Disorders (8 papers), Congenital heart defects research (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). Melissa Goddard is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Congenital heart defects research (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). Melissa Goddard collaborates with scholars based in United States, France and Canada. Melissa Goddard's co-authors include Martin K. Childers, Alan H. Beggs, Robert W. Grange, David L. Mack, Barbara K. Smith, Valerie E. Kelly, Jessica M. Snyder, Anthony P. Marsh, Michael W. Lawlor and Karine Poulard and has published in prestigious journals such as Journal of the Neurological Sciences, Muscle & Nerve and Methods.

In The Last Decade

Melissa Goddard

10 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melissa Goddard United States	8	107	45	40	35	22	11	146
Anna Laddach United Kingdom	8	108 1.0×	9 0.2×	37 0.9×	28 0.8×	15 0.7×	10	236
Julia Werner Germany	9	47 0.4×	7 0.2×	40 1.0×	20 0.6×	9 0.4×	22	204
Philip R. Woods United States	7	81 0.8×	11 0.2×	30 0.8×	10 0.3×	11 0.5×	8	144
Sarah Neuhaus United States	7	87 0.8×	17 0.4×	16 0.4×	40 1.1×	5 0.2×	16	151
J. Cuisset France	7	81 0.8×	52 1.2×	14 0.3×	18 0.5×	15 0.7×	21	157
A. Nascimento Osorio Spain	8	164 1.5×	56 1.2×	42 1.1×	39 1.1×	7 0.3×	14	213
Plavi Mittal United States	4	109 1.0×	26 0.6×	21 0.5×	20 0.6×	14 0.6×	7	126
Matthew Edwards United States	5	99 0.9×	6 0.1×	26 0.7×	12 0.3×	14 0.6×	9	119
Cristina Curcio Italy	9	135 1.3×	45 1.0×	79 2.0×	8 0.2×	5 0.2×	25	300
D Laws United Kingdom	7	41 0.4×	40 0.9×	79 2.0×	25 0.7×	3 0.1×	8	331

Countries citing papers authored by Melissa Goddard

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Goddard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Goddard

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

All Works

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11 of 11 papers shown

Taglietti, Valentina, Kaouthar Kefi, Fanny Coulpier, et al.. (2022). Duchenne muscular dystrophy trajectory in R-DMDdel52 preclinical rat model identifies COMP as biomarker of fibrosis. Acta Neuropathologica Communications. 10(1). 60–60. 24 indexed citations

Goddard, Melissa, David L. Mack, Jessica M. Snyder, et al.. (2017). Long‐term effects of systemic gene therapy in a canine model of myotubular myopathy. Muscle & Nerve. 56(5). 943–953. 43 indexed citations

Goddard, Melissa, et al.. (2016). Evaluating Individualized Falls Prevention for Clients with Medically Complex Conditions. Physical & Occupational Therapy In Geriatrics. 34(2-3). 124–140. 1 indexed citations

Snyder, Jessica M., Allison Meisner, David L. Mack, et al.. (2015). Validity of a Neurological Scoring System for Canine X-Linked Myotubular Myopathy. PubMed. 26(2). 131–137. 4 indexed citations

Guan, Xuan, Melissa Goddard, David L. Mack, & Martin K. Childers. (2015). Gene therapy in monogenic congenital myopathies. Methods. 99. 91–98. 5 indexed citations

Goddard, Melissa, David L. Mack, Stefan Czerniecki, et al.. (2015). Muscle pathology, limb strength, walking gait, respiratory function and neurological impairment establish disease progression in the p.N155K canine model of X-linked myotubular myopathy.. PubMed. 3(18). 262–262. 7 indexed citations

Goddard, Melissa, Alan H. Beggs, Anna Buj‐Bello, et al.. (2014). Gait characteristics in a canine model of X-linked myotubular myopathy. Journal of the Neurological Sciences. 346(1-2). 221–226. 9 indexed citations

Smith, Barbara K., Melissa Goddard, & Martin K. Childers. (2014). Respiratory assessment in centronuclear myopathies. Muscle & Nerve. 50(3). 315–326. 7 indexed citations

Grange, Robert W., et al.. (2012). Muscle function in A canine model of X‐linked myotubular myopathy. Muscle & Nerve. 46(4). 588–591. 18 indexed citations

10.

Goddard, Melissa, et al.. (2011). Establishing Clinical End Points of Respiratory Function in Large Animals for Clinical Translation. Physical Medicine and Rehabilitation Clinics of North America. 23(1). 75–94. 9 indexed citations

11.

Goddard, Melissa, et al.. (1993). A hypertonic infusion in the treatment of experimental shock in calves and clinical shock in dogs and cats.. PubMed. 133(24). 585–90. 19 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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