Jeanelle Ariza

1.2k total citations
22 papers, 780 citations indexed

About

Jeanelle Ariza is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jeanelle Ariza has authored 22 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jeanelle Ariza's work include Genetics and Neurodevelopmental Disorders (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Autism Spectrum Disorder Research (7 papers). Jeanelle Ariza is often cited by papers focused on Genetics and Neurodevelopmental Disorders (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Autism Spectrum Disorder Research (7 papers). Jeanelle Ariza collaborates with scholars based in United States, Netherlands and Mexico. Jeanelle Ariza's co-authors include Verónica Martínez‐Cerdeño, Stephen C. Noctor, Ezzat Hashemi, Jasmin Camacho, Paul J. Hagerman, Judy Van de Water, Elaine N. Miller, Ashley McDonough, Arnold R. Kriegstein and Krystof S. Bankiewicz and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

Jeanelle Ariza

22 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeanelle Ariza United States 14 365 343 305 265 168 22 780
Candace Castagna United States 5 332 0.9× 289 0.8× 305 1.0× 223 0.8× 90 0.5× 5 933
Julia R. Wilkerson United States 16 313 0.9× 434 1.3× 425 1.4× 286 1.1× 85 0.5× 24 1.2k
Michaël Ogier France 12 499 1.4× 677 2.0× 438 1.4× 218 0.8× 142 0.8× 24 1.1k
Giuseppina Lonetti Italy 6 241 0.7× 424 1.2× 390 1.3× 184 0.7× 93 0.6× 8 693
Stéphane J. Baudouin United Kingdom 11 298 0.8× 277 0.8× 310 1.0× 273 1.0× 79 0.5× 17 719
Joel Almajano United States 3 456 1.2× 420 1.2× 330 1.1× 217 0.8× 77 0.5× 3 809
Jin Nakatani Japan 12 334 0.9× 509 1.5× 521 1.7× 186 0.7× 95 0.6× 24 1.0k
Ahmed El-Kordi Germany 11 283 0.8× 266 0.8× 343 1.1× 299 1.1× 77 0.5× 12 970
YunXiang Chu United States 5 287 0.8× 307 0.9× 338 1.1× 200 0.8× 53 0.3× 6 764
Shiori Ogawa Japan 5 187 0.5× 279 0.8× 385 1.3× 184 0.7× 161 1.0× 8 706

Countries citing papers authored by Jeanelle Ariza

Since Specialization
Citations

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

Fields of papers citing papers by Jeanelle Ariza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeanelle Ariza

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

All Works

20 of 20 papers shown
1.
Martínez‐Cerdeño, Verónica, Mirna Lechpammer, Stephen C. Noctor, et al.. (2017). FMR 1 premutation with Prader–Willi phenotype and fragile X‐associated tremor/ataxia syndrome. Clinical Case Reports. 5(5). 625–629. 4 indexed citations
2.
Ariza, Jeanelle, et al.. (2017). Iron accumulation and dysregulation in the putamen in fragile X‐associated tremor/ataxia syndrome. Movement Disorders. 32(4). 585–591. 29 indexed citations
3.
Martínez‐Cerdeño, Verónica, Bonnie L. Barrilleaux, Ashley McDonough, et al.. (2017). Behavior of Xeno-Transplanted Undifferentiated Human Induced Pluripotent Stem Cells Is Impacted by Microenvironment Without Evidence of Tumors. Stem Cells and Development. 26(19). 1409–1423. 8 indexed citations
4.
Martínez‐Cerdeño, Verónica, Jasmin Camacho, Jeanelle Ariza, et al.. (2017). The Bat as a New Model of Cortical Development. Cerebral Cortex. 28(11). 3880–3893. 10 indexed citations
5.
Ariza, Jeanelle, et al.. (2017). Maternal autoimmune antibodies alter the dendritic arbor and spine numbers in the infragranular layers of the cortex. PLoS ONE. 12(8). e0183443–e0183443. 16 indexed citations
6.
Ariza, Jeanelle, et al.. (2016). Cerebellar Mild Iron Accumulation in a Subset of FMR1 Premutation Carriers with FXTAS. The Cerebellum. 15(5). 641–644. 16 indexed citations
7.
Hashemi, Ezzat, Jeanelle Ariza, Mirna Lechpammer, Stephen C. Noctor, & Verónica Martínez‐Cerdeño. (2016). Abnormal white matter tracts resembling pencil fibers involving prefrontal cortex (Brodmann area 47) in autism: a case report. Journal of Medical Case Reports. 10(1). 237–237. 8 indexed citations
8.
Ariza, Jeanelle, et al.. (2016). The Number of Chandelier and Basket Cells Are Differentially Decreased in Prefrontal Cortex in Autism. Cerebral Cortex. 28(2). 411–420. 69 indexed citations
9.
Hashemi, Ezzat, et al.. (2016). The Number of Parvalbumin-Expressing Interneurons Is Decreased in the Medial Prefrontal Cortex in Autism. Cerebral Cortex. 27(2). bhw021–bhw021. 247 indexed citations
10.
Ariza, Jeanelle, et al.. (2016). A Majority of FXTAS Cases Present with Intranuclear Inclusions Within Purkinje Cells. The Cerebellum. 15(5). 546–551. 26 indexed citations
12.
McDonough, Ashley, et al.. (2015). Calibrated Forceps Model of Spinal Cord Compression Injury. Journal of Visualized Experiments. 34 indexed citations
13.
Martínez‐Cerdeño, Verónica, Christopher L. Cunningham, Jasmin Camacho, et al.. (2015). Evolutionary origin of Tbr2‐expressing precursor cells and the subventricular zone in the developing cortex. The Journal of Comparative Neurology. 524(3). 433–447. 36 indexed citations
14.
Camacho, Jasmin, Elizabeth Fox, Elaine N. Miller, et al.. (2014). Prenatal Exposure to Autism-Specific Maternal Autoantibodies Alters Proliferation of Cortical Neural Precursor Cells, Enlarges Brain, and Increases Neuronal Size in Adult Animals. Cerebral Cortex. 26(1). 374–383. 52 indexed citations
15.
Ariza, Jeanelle, et al.. (2014). Dysregulated iron metabolism in the choroid plexus in fragile X-associated tremor/ataxia syndrome. Brain Research. 1598. 88–96. 37 indexed citations
16.
Camacho, Jasmin, et al.. (2014). RELN-expressing neuron density in layer I of the superior temporal lobe is similar in human brains with autism and in age-matched controls. Neuroscience Letters. 579. 163–167. 16 indexed citations
17.
Camacho, Jasmin, Karen L. Jones, Elaine N. Miller, et al.. (2014). Embryonic intraventricular exposure to autism-specific maternal autoantibodies produces alterations in autistic-like stereotypical behaviors in offspring mice. Behavioural Brain Research. 266. 46–51. 43 indexed citations
18.
Martínez‐Cerdeño, Verónica, Stephen C. Noctor, Ana Espinosa, et al.. (2010). Embryonic MGE Precursor Cells Grafted into Adult Rat Striatum Integrate and Ameliorate Motor Symptoms in 6-OHDA-Lesioned Rats. Cell stem cell. 6(3). 238–250. 83 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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