Michelle D. Amaral

2.5k total citations
16 papers, 732 citations indexed

About

Michelle D. Amaral is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Michelle D. Amaral has authored 16 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Michelle D. Amaral's work include Genetics and Neurodevelopmental Disorders (6 papers), Genomics and Rare Diseases (5 papers) and Nerve injury and regeneration (5 papers). Michelle D. Amaral is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), Genomics and Rare Diseases (5 papers) and Nerve injury and regeneration (5 papers). Michelle D. Amaral collaborates with scholars based in United States, Japan and Netherlands. Michelle D. Amaral's co-authors include Lucas Pozzo‐Miller, Susan A. Lyons, Harald Sontheimer, Michelle L. Olsen, Gastón Diego Calfa, Takafumi Inoue, Christopher A. Chapleau, Yong Li, Gregory M. Cooper and Christian Harteneck and has published in prestigious journals such as Journal of Neuroscience, Neurology and Journal of Neurophysiology.

In The Last Decade

Michelle D. Amaral

15 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle D. Amaral United States	13	360	326	181	126	99	16	732
Lauri Louhivuori Finland	16	231 0.6×	320 1.0×	140 0.8×	163 1.3×	117 1.2×	29	777
G. Glassmeier Germany	16	370 1.0×	534 1.6×	188 1.0×	117 0.9×	28 0.3×	24	1.0k
Yilin Tai China	14	437 1.2×	554 1.7×	484 2.7×	74 0.6×	76 0.8×	29	1.1k
Chunqing Zhang China	12	176 0.5×	207 0.6×	52 0.3×	71 0.6×	59 0.6×	28	558
Sachiko Saino‐Saito Japan	14	260 0.7×	370 1.1×	72 0.4×	31 0.2×	105 1.1×	22	660
Teresa Soda Italy	15	261 0.7×	231 0.7×	162 0.9×	43 0.3×	28 0.3×	27	687
Teddy Grand France	16	434 1.2×	546 1.7×	117 0.6×	63 0.5×	17 0.2×	16	820
Andreas Lieb Austria	15	507 1.4×	655 2.0×	81 0.4×	128 1.0×	17 0.2×	25	1.1k
Natalie Lavine Canada	8	335 0.9×	378 1.2×	75 0.4×	26 0.2×	44 0.4×	10	647
Maria Cristina Marrone Italy	10	175 0.5×	185 0.6×	87 0.5×	30 0.2×	68 0.7×	10	619

Countries citing papers authored by Michelle D. Amaral

Since Specialization

Citations

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

Fields of papers citing papers by Michelle D. Amaral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle D. Amaral. 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 Michelle D. Amaral. The network helps show where Michelle D. Amaral may publish in the future.

Co-authorship network of co-authors of Michelle D. Amaral

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle D. Amaral. A scholar is included among the top collaborators of Michelle D. Amaral 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 Michelle D. Amaral. Michelle D. Amaral 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

Cochran, J. Nicholas, James M.J. Lawlor, Michelle D. Amaral, et al.. (2023). Contributions of rare and common variation to early-onset and atypical dementia risk. Molecular Case Studies. 9(3). a006271–a006271.

Childerhose, Janet E., Carla A. Rich, Kelly M. East, et al.. (2021). The Therapeutic Odyssey: Positioning Genomic Sequencing in the Search for a Child’s Best Possible Life. AJOB Empirical Bioethics. 12(3). 179–189. 19 indexed citations

Davis, Brittney H., T. Mark Beasley, Michelle D. Amaral, et al.. (2021). Pharmacogenetic Predictors of Cannabidiol Response and Tolerability in Treatment‐Resistant Epilepsy. Clinical Pharmacology & Therapeutics. 110(5). 1368–1380. 29 indexed citations

Blok, Lot Snijders, Arianna Vino, Joery den Hoed, et al.. (2020). Heterozygous variants that disturb the transcriptional repressor activity of FOXP4 cause a developmental disorder with speech/language delays and multiple congenital abnormalities. Genetics in Medicine. 23(3). 534–542. 16 indexed citations

Cochran, J. Nicholas, Ethan G. Geier, Luke W. Bonham, et al.. (2020). Non-coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases. The American Journal of Human Genetics. 106(5). 632–645. 48 indexed citations

McKinley, Emily, J. Nicholas Cochran, Michelle D. Amaral, et al.. (2019). Genome sequencing for early-onset or atypical dementia: high diagnostic yield and frequent observation of multiple contributory alleles. Molecular Case Studies. 5(6). a003491–a003491. 22 indexed citations

Dean, Marissa, Ludwine Messiaen, Gregory M. Cooper, et al.. (2019). Child Neurology: Spastic paraparesis and dystonia with a novel ADCY5 mutation. Neurology. 93(11). 510–514. 7 indexed citations

Thompson, Michelle L., Candice R. Finnila, Kevin M. Bowling, et al.. (2018). Genomic sequencing identifies secondary findings in a cohort of parent study participants. Genetics in Medicine. 20(12). 1635–1643. 19 indexed citations

Leuner, Kristina, Michelle D. Amaral, Stephanie Rudolph, et al.. (2012). Hyperforin modulates dendritic spine morphology in hippocampal pyramidal neurons by activating Ca²⁺‐permeable TRPC6 channels. Hippocampus. 23(1). 40–52. 59 indexed citations

10.

Amaral, Michelle D. & Lucas Pozzo‐Miller. (2012). Intracellular Ca²⁺Stores and Ca²⁺Influx Are Both Required for BDNF to Rapidly Increase Quantal Vesicular Transmitter Release. Neural Plasticity. 2012. 1–10. 47 indexed citations

11.

Li, Yong, Gastón Diego Calfa, Takafumi Inoue, Michelle D. Amaral, & Lucas Pozzo‐Miller. (2010). Activity-Dependent Release of Endogenous BDNF From Mossy Fibers Evokes a TRPC3 Current and Ca²⁺Elevations in CA3 Pyramidal Neurons. Journal of Neurophysiology. 103(5). 2846–2856. 53 indexed citations

12.

Amaral, Michelle D. & Lucas Pozzo‐Miller. (2009). The dynamics of excitatory synapse formation on dendritic spines.. PubMed. 5(4). 19–25. 11 indexed citations

13.

Amaral, Michelle D. & Lucas Pozzo‐Miller. (2007). TRPC3 Channels Are Necessary for Brain-Derived Neurotrophic Factor to Activate a Nonselective Cationic Current and to Induce Dendritic Spine Formation. Journal of Neuroscience. 27(19). 5179–5189. 167 indexed citations

14.

Amaral, Michelle D. & Lucas Pozzo‐Miller. (2007). BDNF Induces Calcium Elevations Associated WithI_BDNF, a Nonselective Cationic Current Mediated by TRPC Channels. Journal of Neurophysiology. 98(4). 2476–2482. 59 indexed citations

15.

Amaral, Michelle D., Christopher A. Chapleau, & Lucas Pozzo‐Miller. (2006). Transient receptor potential channels as novel effectors of brain-derived neurotrophic factor signaling: Potential implications for Rett syndrome. Pharmacology & Therapeutics. 113(2). 394–409. 36 indexed citations

16.

Olsen, Michelle L., et al.. (2003). Expression of Voltage-Gated Chloride Channels in Human Glioma Cells. Journal of Neuroscience. 23(13). 5572–5582. 140 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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