Curtis A. Nutter

661 total citations
16 papers, 461 citations indexed

About

Curtis A. Nutter is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Curtis A. Nutter has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Curtis A. Nutter's work include RNA Research and Splicing (13 papers), Genetic Neurodegenerative Diseases (7 papers) and Mitochondrial Function and Pathology (6 papers). Curtis A. Nutter is often cited by papers focused on RNA Research and Splicing (13 papers), Genetic Neurodegenerative Diseases (7 papers) and Mitochondrial Function and Pathology (6 papers). Curtis A. Nutter collaborates with scholars based in United States, Poland and Canada. Curtis A. Nutter's co-authors include Muge N. Kuyumcu‐Martinez, Sunil K. Verma, G Yeo, Maurice S. Swanson, Vaibhav Deshmukh, Łukasz J. Sznajder, James D. Thomas, Elizabeth Jaworski, Laura P.W. Ranum and Patrick Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Curtis A. Nutter

16 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Curtis A. Nutter United States	12	410	120	68	45	39	16	461
Yoshihiro Kurano Japan	7	377 0.9×	103 0.9×	61 0.9×	34 0.8×	25 0.6×	11	469
Sonisha Warren United States	7	341 0.8×	107 0.9×	166 2.4×	22 0.5×	28 0.7×	11	402
Mugdha Joshi United States	10	289 0.7×	66 0.6×	173 2.5×	31 0.7×	16 0.4×	16	450
Jordan Blondelle United States	9	243 0.6×	79 0.7×	73 1.1×	21 0.5×	12 0.3×	12	333
Talya Dor Israel	8	176 0.4×	109 0.9×	20 0.3×	55 1.2×	57 1.5×	16	388
Ellen L. van Agtmaal Netherlands	7	200 0.5×	79 0.7×	39 0.6×	18 0.4×	12 0.3×	7	317
James P. Orengo United States	8	348 0.8×	195 1.6×	45 0.7×	17 0.4×	40 1.0×	14	416
Adam J. Struck United States	7	286 0.7×	166 1.4×	38 0.6×	19 0.4×	22 0.6×	9	349
Le Thanh Lam United Kingdom	12	413 1.0×	79 0.7×	62 0.9×	11 0.2×	20 0.5×	20	470
Ariadna Bargiela Spain	9	245 0.6×	171 1.4×	28 0.4×	18 0.4×	34 0.9×	19	290

Countries citing papers authored by Curtis A. Nutter

Since Specialization

Citations

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

Fields of papers citing papers by Curtis A. Nutter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis A. Nutter. 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 Curtis A. Nutter. The network helps show where Curtis A. Nutter may publish in the future.

Co-authorship network of co-authors of Curtis A. Nutter

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

All Works

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16 of 16 papers shown

Sznajder, Łukasz J., Curtis A. Nutter, Katarzyna Taylor, et al.. (2025). Autism-related traits in myotonic dystrophy type 1 model mice are due to MBNL sequestration and RNA mis-splicing of autism-risk genes. Nature Neuroscience. 28(6). 1199–1212. 3 indexed citations

Nutter, Curtis A., Johanna Hamel, Adithya Gopinath, et al.. (2023). Choroid plexus mis-splicing and altered cerebrospinal fluid composition in myotonic dystrophy type 1. Brain. 146(10). 4217–4232. 6 indexed citations

Nutter, Curtis A., et al.. (2022). Alternative Splicing of the Aryl Hydrocarbon Receptor Nuclear Translocator (ARNT) Is Regulated by RBFOX2 in Lymphoid Malignancies. Molecular and Cellular Biology. 42(5). e0050321–e0050321. 7 indexed citations

Batra, Ranjan, David A. Nelles, Daniela Roth, et al.. (2020). The sustained expression of Cas9 targeting toxic RNAs reverses disease phenotypes in mouse models of myotonic dystrophy type 1. Nature Biomedical Engineering. 5(2). 157–168. 43 indexed citations

Sznajder, Łukasz J., Marina M. Scotti, Jihae Shin, et al.. (2020). Loss of MBNL1 induces RNA misprocessing in the thymus and peripheral blood. Nature Communications. 11(1). 2022–2022. 16 indexed citations

Li, Moyi, Yan Zhuang, Ranjan Batra, et al.. (2020). HNRNPA1-induced spliceopathy in a transgenic mouse model of myotonic dystrophy. Proceedings of the National Academy of Sciences. 117(10). 5472–5477. 39 indexed citations

Nutter, Curtis A., Jodi L. Bubenik, Ruan Oliveira, et al.. (2019). Cell-type-specific dysregulation of RNA alternative splicing in short tandem repeat mouse knockin models of myotonic dystrophy. Genes & Development. 33(23-24). 1635–1640. 16 indexed citations

Cao, Jun, Kempaiah Rayavara, Curtis A. Nutter, et al.. (2019). Abstract 321: RBFOX2 is critical for maintaining alternative polyadenylation patterns in cardiomyoblasts. Circulation Research. 125(Suppl_1). 1 indexed citations

Sznajder, Łukasz J., James D. Thomas, Ellie M. Carrell, et al.. (2018). Intron retention induced by microsatellite expansions as a disease biomarker. Proceedings of the National Academy of Sciences. 115(16). 4234–4239. 83 indexed citations

10.

Nutter, Curtis A., et al.. (2018). A developmentally regulated spliced variant of PTBP1 is upregulated in type 1 diabetic hearts. Biochemical and Biophysical Research Communications. 509(2). 384–389. 11 indexed citations

11.

Nutter, Curtis A., et al.. (2018). CELF1 contributes to aberrant alternative splicing patterns in the type 1 diabetic heart. Biochemical and Biophysical Research Communications. 503(4). 3205–3211. 16 indexed citations

12.

Nutter, Curtis A. & Muge N. Kuyumcu‐Martinez. (2017). Emerging roles of RNA‐binding proteins in diabetes and their therapeutic potential in diabetic complications. Wiley Interdisciplinary Reviews - RNA. 9(2). 47 indexed citations

13.

Nutter, Curtis A., et al.. (2017). Developmentally regulated alternative splicing is perturbed in type 1 diabetic skeletal muscle. Muscle & Nerve. 56(4). 744–749. 14 indexed citations

14.

Verma, Sunil K., Vaibhav Deshmukh, Curtis A. Nutter, et al.. (2016). Rbfox2 function in RNA metabolism is impaired in hypoplastic left heart syndrome patient hearts. Scientific Reports. 6(1). 30896–30896. 44 indexed citations

15.

Nutter, Curtis A., Elizabeth Jaworski, Sunil K. Verma, et al.. (2016). Dysregulation of RBFOX2 Is an Early Event in Cardiac Pathogenesis of Diabetes. Cell Reports. 15(10). 2200–2213. 64 indexed citations

16.

Verma, Sunil K., Vaibhav Deshmukh, Patrick Liu, et al.. (2013). Reactivation of Fetal Splicing Programs in Diabetic Hearts Is Mediated by Protein Kinase C Signaling. Journal of Biological Chemistry. 288(49). 35372–35386. 51 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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