Maya G. Mosner

631 total citations
16 papers, 424 citations indexed

About

Maya G. Mosner is a scholar working on Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Maya G. Mosner has authored 16 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Clinical Psychology and 7 papers in Psychiatry and Mental health. Recurrent topics in Maya G. Mosner's work include Autism Spectrum Disorder Research (13 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Behavioral and Psychological Studies (6 papers). Maya G. Mosner is often cited by papers focused on Autism Spectrum Disorder Research (13 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Behavioral and Psychological Studies (6 papers). Maya G. Mosner collaborates with scholars based in United States, Singapore and Germany. Maya G. Mosner's co-authors include Gabriel S. Dichter, Ligia Antezana, Rachel K. Greene, Jessica L. Kinard, Robert T. Schultz, Gregor Kohls, Benjamin E. Yerys, Erin C. Walsh, Ronald Carter and Carla A. Mazefsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Autism and Developmental Disorders and Biological Psychology.

In The Last Decade

Maya G. Mosner

16 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya G. Mosner United States 13 328 133 96 86 78 16 424
Jessica L. Kinard United States 13 329 1.0× 203 1.5× 106 1.1× 79 0.9× 58 0.7× 27 459
Jannath Begum Ali United Kingdom 11 245 0.7× 81 0.6× 95 1.0× 79 0.9× 54 0.7× 28 339
Baudouin Forgeot d’Arc Canada 14 408 1.2× 104 0.8× 67 0.7× 125 1.5× 70 0.9× 29 564
Abbey J. Herringshaw United States 5 356 1.1× 93 0.7× 116 1.2× 88 1.0× 46 0.6× 6 434
Paola Odriozola United States 12 394 1.2× 129 1.0× 97 1.0× 49 0.6× 54 0.7× 27 556
Rachel K. Greene United States 13 376 1.1× 123 0.9× 128 1.3× 110 1.3× 60 0.8× 26 513
Melissa Thye United Kingdom 8 418 1.3× 83 0.6× 118 1.2× 101 1.2× 47 0.6× 21 503
Cara R. Damiano United States 12 408 1.2× 216 1.6× 137 1.4× 75 0.9× 67 0.9× 15 515
Hannah Cholemkery Germany 11 344 1.0× 166 1.2× 114 1.2× 60 0.7× 52 0.7× 19 419
Antoinette Sabatino United States 4 320 1.0× 154 1.2× 118 1.2× 81 0.9× 36 0.5× 6 376

Countries citing papers authored by Maya G. Mosner

Since Specialization
Citations

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

Fields of papers citing papers by Maya G. Mosner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya G. Mosner. 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 Maya G. Mosner. The network helps show where Maya G. Mosner may publish in the future.

Co-authorship network of co-authors of Maya G. Mosner

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

All Works

16 of 16 papers shown
1.
Greene, Rachel K., Julia Parish‐Morris, Jessica L. Kinard, et al.. (2020). Dynamic Eye Tracking as a Predictor and Outcome Measure of Social Skills Intervention in Adolescents and Adults with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 51(4). 1173–1187. 14 indexed citations
2.
Kinard, Jessica L., Maya G. Mosner, Rachel K. Greene, et al.. (2020). Neural Mechanisms of Social and Nonsocial Reward Prediction Errors in Adolescents with Autism Spectrum Disorder. Autism Research. 13(5). 715–728. 24 indexed citations
3.
Mosner, Maya G., et al.. (2019). Rates of Co-occurring Psychiatric Disorders in Autism Spectrum Disorder Using the Mini International Neuropsychiatric Interview. Journal of Autism and Developmental Disorders. 49(9). 3819–3832. 47 indexed citations
4.
Yerys, Benjamin E., Birkan Tunç, Theodore D. Satterthwaite, et al.. (2019). Functional Connectivity of Frontoparietal and Salience/Ventral Attention Networks Have Independent Associations With Co-occurring Attention-Deficit/Hyperactivity Disorder Symptoms in Children With Autism. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(4). 343–351. 34 indexed citations
5.
Greene, Rachel K., Shuting Zheng, Jessica L. Kinard, et al.. (2019). Social and nonsocial visual prediction errors in autism spectrum disorder. Autism Research. 12(6). 878–883. 23 indexed citations
6.
Mosner, Maya G., Jessica L. Kinard, Shabnam Hakimi, et al.. (2019). Neural Mechanisms of Reward Prediction Error in Autism Spectrum Disorder. SHILAP Revista de lepidopterología. 2019. 1–10. 11 indexed citations
7.
Kinard, Jessica L., et al.. (2019). The effects of intranasal oxytocin on reward circuitry responses in children with autism spectrum disorder. UNC Libraries. 1 indexed citations
8.
Kohls, Gregor, et al.. (2018). Altered reward system reactivity for personalized circumscribed interests in autism. Molecular Autism. 9(1). 9–9. 72 indexed citations
9.
Greene, Rachel K., Marina Spanos, Erin C. Walsh, et al.. (2018). The effects of intranasal oxytocin on reward circuitry responses in children with autism spectrum disorder. Journal of Neurodevelopmental Disorders. 10(1). 12–12. 37 indexed citations
10.
Greene, Rachel K., Erin C. Walsh, Maya G. Mosner, & Gabriel S. Dichter. (2018). A potential mechanistic role for neuroinflammation in reward processing impairments in autism spectrum disorder. Biological Psychology. 142. 1–12. 21 indexed citations
11.
Mosner, Maya G., Jessica L. Kinard, Margaret Burchinal, et al.. (2017). Vicarious Effort-Based Decision-Making in Autism Spectrum Disorders. Journal of Autism and Developmental Disorders. 47(10). 2992–3006. 28 indexed citations
12.
Mosner, Maya G., et al.. (2016). Experience sampling of positive affect in adolescents with autism: Feasibility and preliminary findings. Research in autism spectrum disorders. 29-30. 57–65. 22 indexed citations
13.
Green, Adam E., Lauren Kenworthy, Natalie M. Gallagher, et al.. (2016). Social analogical reasoning in school-aged children with autism spectrum disorder and typically developing peers. Autism. 21(4). 403–411. 10 indexed citations
14.
Antezana, Ligia, Maya G. Mosner, Vanessa Troiani, & Benjamin E. Yerys. (2015). Social-Emotional Inhibition of Return in Children with Autism Spectrum Disorder Versus Typical Development. Journal of Autism and Developmental Disorders. 46(4). 1236–1246. 18 indexed citations
15.
Damiano, Cara R., Joseph Aloi, Kaitlyn Dunlap, et al.. (2014). Association between the oxytocin receptor (OXTR) gene and mesolimbic responses to rewards. Molecular Autism. 5(1). 7–7. 41 indexed citations
16.
Green, Adam E., et al.. (2014). Abstract Analogical Reasoning in High‐Functioning Children with Autism Spectrum Disorders. Autism Research. 7(6). 677–686. 21 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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