Katharine A. Hagerman

571 total citations
16 papers, 390 citations indexed

About

Katharine A. Hagerman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Katharine A. Hagerman has authored 16 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Katharine A. Hagerman's work include Genetic Neurodegenerative Diseases (13 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Mitochondrial Function and Pathology (4 papers). Katharine A. Hagerman is often cited by papers focused on Genetic Neurodegenerative Diseases (13 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Mitochondrial Function and Pathology (4 papers). Katharine A. Hagerman collaborates with scholars based in United States, Canada and Japan. Katharine A. Hagerman's co-authors include Christopher E. Pearson, John D. Cleary, Chad Heatwole, Kerrie Nichol Edamura, Yuh‐Hwa Wang, Jacinda B. Sampson, John Day, Galina N. Filippova, Stephen J. Tapscott and Rachel Lau and has published in prestigious journals such as Journal of Biological Chemistry, Nature Structural & Molecular Biology and PLoS Genetics.

In The Last Decade

Katharine A. Hagerman

16 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katharine A. Hagerman United States	9	286	214	107	67	62	16	390
Tracie C. Rosser United States	10	260 0.9×	91 0.4×	205 1.9×	30 0.4×	24 0.4×	13	444
Enni Lehtonen Belgium	7	295 1.0×	140 0.7×	259 2.4×	26 0.4×	41 0.7×	9	450
Elvio Della Giustina Italy	11	88 0.3×	151 0.7×	87 0.8×	24 0.4×	48 0.8×	21	373
Karsten Haug Germany	9	405 1.4×	287 1.3×	213 2.0×	104 1.6×	11 0.2×	12	680
Ivana Ricca Italy	10	156 0.5×	74 0.3×	123 1.1×	19 0.3×	23 0.4×	20	303
Veronica Setola Italy	9	185 0.6×	106 0.5×	62 0.6×	151 2.3×	53 0.9×	11	355
Tatsushi Toda Japan	10	268 0.9×	115 0.5×	100 0.9×	26 0.4×	39 0.6×	29	382
Amy Harper United States	8	109 0.4×	99 0.5×	32 0.3×	36 0.5×	57 0.9×	19	281
Rony Cohen Israel	13	104 0.4×	34 0.2×	83 0.8×	34 0.5×	89 1.4×	37	423
Lúcia Inês Macedo‐Souza Brazil	10	143 0.5×	90 0.4×	56 0.5×	68 1.0×	49 0.8×	18	338

Countries citing papers authored by Katharine A. Hagerman

Since Specialization

Citations

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

Fields of papers citing papers by Katharine A. Hagerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharine A. Hagerman

This figure shows the co-authorship network connecting the top 25 collaborators of Katharine A. Hagerman. A scholar is included among the top collaborators of Katharine A. Hagerman 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 Katharine A. Hagerman. Katharine A. Hagerman 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

Beaudin, Marie, Katharine A. Hagerman, Sally Dunaway Young, et al.. (2023). Cerebrospinal Fluid Proteomic Changes after Nusinersen in Patients with Spinal Muscular Atrophy. Journal of Clinical Medicine. 12(20). 6696–6696. 5 indexed citations

Deutsch, Gayle K., Katharine A. Hagerman, Jacinda B. Sampson, et al.. (2022). Brief assessment of cognitive function in myotonic dystrophy: Multicenter longitudinal study using computer‐assisted evaluation. Muscle & Nerve. 65(5). 560–567. 4 indexed citations

Deutsch, Gayle K., et al.. (2022). Cognitive Impairment Analysis of Myotonic Dystrophy via Weakly Supervised Classification of Neuropsychological Features. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 20. 4377–4382. 1 indexed citations

Thornton, Charles A., Kenji Jinnai, Harutoshi Fujimura, et al.. (2021). Transcriptome alterations in myotonic dystrophy frontal cortex. Cell Reports. 34(3). 108634–108634. 38 indexed citations

Duong, Tina, Michael McDermott, Amy Pasternak, et al.. (2021). Nusinersen Treatment in Adults With Spinal Muscular Atrophy. Neurology Clinical Practice. 11(3). e317–e327. 51 indexed citations

Thornton, Charles A., Kenji Jinnai, Harutoshi Fujimura, et al.. (2020). Transcriptome Alterations in Myotonic Dystrophy Frontal Cortex. SSRN Electronic Journal. 1 indexed citations

Hagerman, Katharine A., John Day, Jacinda B. Sampson, et al.. (2020). Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural Networks. PubMed. 2020. 1714–1717. 1 indexed citations

Hagerman, Katharine A., et al.. (2019). The myotonic dystrophy experience: a North American cross‐sectional study. Muscle & Nerve. 59(4). 457–464. 27 indexed citations

Cheung, Joseph, Chad Ruoff, Hyatt Moore, et al.. (2018). Increased EEG Theta Spectral Power in Sleep in Myotonic Dystrophy Type 1. Journal of Clinical Sleep Medicine. 14(2). 229–235. 6 indexed citations

10.

Hesterlee, Sharon, Shashi Amur, Lisa J. Bain, et al.. (2017). Patient-Centered Therapy Development for Myotonic Dystrophy: Report of the Myotonic Dystrophy Foundation–Sponsored Workshop. Therapeutic Innovation & Regulatory Science. 51(4). 516–522. 2 indexed citations

11.

Johnson, Nicholas E., Man Hung, Katharine A. Hagerman, et al.. (2015). The Impact of Pregnancy on Myotonic Dystrophy: A Registry-Based Study. Journal of Neuromuscular Diseases. 2(4). 447–452. 25 indexed citations

12.

Cleary, John D., Stéphanie Tomé, Arturo López Castel, et al.. (2010). Tissue- and age-specific DNA replication patterns at the CTG/CAG-expanded human myotonic dystrophy type 1 locus. Nature Structural & Molecular Biology. 17(9). 1079–1087. 55 indexed citations

13.

Hagerman, Katharine A., Haihe Ruan, Kerrie Nichol Edamura, et al.. (2008). The ATTCT repeats of spinocerebellar ataxia type 10 display strong nucleosome assembly which is enhanced by repeat interruptions. Gene. 434(1-2). 29–34. 11 indexed citations

14.

Libby, Randell T., Katharine A. Hagerman, Victor V. Pineda, et al.. (2008). CTCF cis-Regulates Trinucleotide Repeat Instability in an Epigenetic Manner: A Novel Basis for Mutational Hot Spot Determination. PLoS Genetics. 4(11). e1000257–e1000257. 100 indexed citations

15.

Edamura, Kerrie Nichol, et al.. (2004). Effect of CAT or AGG Interruptions and CpG Methylation on Nucleosome Assembly upon Trinucleotide Repeats on Spinocerebellar Ataxia, Type 1 and Fragile X Syndrome*. Journal of Biological Chemistry. 280(6). 4498–4503. 34 indexed citations

16.

Hagerman, Randi J., et al.. (1994). A survey of fluoxetine therapy in fragile X syndrome. 7. 155–164. 29 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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