Kymberly D. Young

3.0k total citations
41 papers, 1.7k citations indexed

About

Kymberly D. Young is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Kymberly D. Young has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 19 papers in Developmental and Educational Psychology and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Kymberly D. Young's work include Functional Brain Connectivity Studies (18 papers), Identity, Memory, and Therapy (18 papers) and Treatment of Major Depression (11 papers). Kymberly D. Young is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Identity, Memory, and Therapy (18 papers) and Treatment of Major Depression (11 papers). Kymberly D. Young collaborates with scholars based in United States, United Kingdom and Australia. Kymberly D. Young's co-authors include Wayne C. Drevets, Jerzy Bodurka, Raquel Phillips, Vadim Zotev, Masaya Misaki, Han Yuan, Greg J. Siegle, Patrick S.F. Bellgowan, Michelle Hampson and Frank Scharnowski and has published in prestigious journals such as PLoS ONE, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Kymberly D. Young

39 papers receiving 1.7k citations

Peers

Countries citing papers authored by Kymberly D. Young

Since Specialization

Citations

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

Fields of papers citing papers by Kymberly D. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kymberly D. Young

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The Impact of Intravenous Ketamine on Attentional Bias: Probing Mechanisms of Rapid-Acting Antidepressant Effects in Two Clinical Studies 2024 ·Biological Psychiatry ·Mary L. Woody, (unknown), (unknown), (unknown), (unknown), (unknown), Jay C. Fournier, Neil Jones, Marta Peciña, Kymberly D. Young, (unknown), Manivel Rengasamy, Ben Grafton, Rebecca B. Price	0
2	Recall of Autobiographical Memories Following Odor vs Verbal Cues Among Adults With Major Depressive Disorder 2024 ·JAMA Network Open ·(unknown), Emma Riley, Scott Barb, (unknown), (unknown), Carolyn Webb, (unknown), Kymberly D. Young	1
3	Enhanced efficacy of CBT following augmentation with amygdala rtfMRI neurofeedback in depression 2023 ·Journal of Affective Disorders ·(unknown), Greg J. Siegle, Emily Riley, (unknown), Marlene V. Strege, (unknown), (unknown), Scott Barb, Theodore J. Huppert, Kymberly D. Young	9
4	Cingulate prediction of response to antidepressant and cognitive behavioral therapies for depression: Meta-analysis and empirical application 2023 ·Brain Imaging and Behavior ·Marlene V. Strege, Greg J. Siegle, John A. Richey, (unknown), Kymberly D. Young	3
5	Real-time functional magnetic resonance imaging neurofeedback training of amygdala upregulation increases affective flexibility in depression 2023 ·Journal of Psychiatry and Neuroscience ·(unknown), Greg J. Siegle, (unknown), Marlene V. Strege, (unknown), Scott Barb, Theodore J. Huppert, Kymberly D. Young	8
6	Importance of test–retest reliability for promoting fMRI based screening and interventions in major depressive disorder 2021 ·Translational Psychiatry ·(unknown), Greg J. Siegle, Kymberly D. Young	8
7	Neurophysiological correlates of disorder-related autobiographical memory in anorexia nervosa 2021 ·Psychological Medicine ·(unknown), Christoph Nikendei, (unknown), Julia Huber, Kymberly D. Young, Martin Bendszus, Wolfgang Herzog, Hans‐Christoph Friederich, Joe J. Simon	11
8	Response to SSRI intervention and amygdala activity during self-referential processing in major depressive disorder 2020 ·NeuroImage Clinical ·Kymberly D. Young, Edward S. Friedman, Amanda Collier, Susan Berman, (unknown), Agnes E. Haggerty, Michael E. Thase, Greg J. Siegle	17
9	Amygdala real‐time functional magnetic resonance imaging neurofeedback for major depressive disorder: A review 2018 ·Psychiatry and Clinical Neurosciences ·Kymberly D. Young, Vadim Zotev, Raquel Phillips, Masaya Misaki, Wayne C. Drevets, Jerzy Bodurka	55
10	Linguistic analysis of the autobiographical memories of individuals with major depressive disorder 2018 ·PLoS ONE ·(unknown), Scott Barb, Mark A. Finlayson, Kymberly D. Young	19
11	Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall 2017 ·American Journal of Psychiatry ·Kymberly D. Young, Greg J. Siegle, Vadim Zotev, Raquel Phillips, Masaya Misaki, Han Yuan, Wayne C. Drevets, Jerzy Bodurka	204
12	Functional neuroimaging of sex differences in autobiographical memory recall in depression 2017 ·Psychological Medicine ·Kymberly D. Young, Jerzy Bodurka, Wayne C. Drevets	28
13	Altered task-based and resting-state amygdala functional connectivity following real-time fMRI amygdala neurofeedback training in major depressive disorder 2017 ·NeuroImage Clinical ·Kymberly D. Young, Greg J. Siegle, Masaya Misaki, Vadim Zotev, Raquel Phillips, Wayne C. Drevets, Jerzy Bodurka	71
14	Differential neural correlates of autobiographical memory recall in bipolar and unipolar depression 2016 ·Bipolar Disorders ·Kymberly D. Young, Jerzy Bodurka, Wayne C. Drevets	26
15	Kynurenine pathway metabolites are associated with hippocampal activity during autobiographical memory recall in patients with depression 2016 ·Brain Behavior and Immunity ·Kymberly D. Young, Wayne C. Drevets, Robert Dantzer, T. Kent Teague, Jerzy Bodurka, Jonathan Savitz	74
16	Autobiographical deficits correlate with gray matter volume in depressed and high risk participants 2015 ·Social Cognitive and Affective Neuroscience ·Kymberly D. Young, Patrick S.F. Bellgowan, Jerzy Bodurka, Wayne C. Drevets	15
17	Real-Time fMRI Neurofeedback Training of Amygdala Activity in Patients with Major Depressive Disorder 2014 ·PLoS ONE ·Kymberly D. Young, Vadim Zotev, Raquel Phillips, Masaya Misaki, Han Yuan, Wayne C. Drevets, Jerzy Bodurka	192
18	Behavioral and Neurophysiological Correlates of Autobiographical Memory Deficits in Patients With Depression and Individuals at High Risk for Depression 2013 ·JAMA Psychiatry ·Kymberly D. Young, Patrick S.F. Bellgowan, Jerzy Bodurka, Wayne C. Drevets	81
19	Neuroscientific Basis of Corticosteroid-Induced Changes in Human Cognitive and Emotional Processing 2013 ·Journal of Psychiatric Practice ·Kymberly D. Young, Sheldon Preskorn	9
20	Revelation effect in metamemory 2009 ·Psychonomic Bulletin & Review ·Kymberly D. Young, (unknown), Timothy J. Hohman	4

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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