Alexa Hubbard

562 total citations
7 papers, 229 citations indexed

About

Alexa Hubbard is a scholar working on Clinical Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Alexa Hubbard has authored 7 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Clinical Psychology, 3 papers in Cognitive Neuroscience and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Alexa Hubbard's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Personality Disorders and Psychopathology (2 papers) and Visual and Cognitive Learning Processes (1 paper). Alexa Hubbard is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Personality Disorders and Psychopathology (2 papers) and Visual and Cognitive Learning Processes (1 paper). Alexa Hubbard collaborates with scholars based in United States, Switzerland and Canada. Alexa Hubbard's co-authors include Kevin N. Ochsner, Jochen Weber, Jennifer A. Silvers, Jocelyn Shu, Bruce Doré, Bárbara Stanley, Yaakov Stern, Megan Chesin, Eric A. Fertuck and Sadia R. Chaudhury and has published in prestigious journals such as Journal of Cognitive Neuroscience, Journal of Experimental Psychology General and Journal of Psychiatric Research.

In The Last Decade

Alexa Hubbard

7 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexa Hubbard United States	6	106	99	99	45	24	7	229
Jocelyn Shu United States	8	129 1.2×	134 1.4×	152 1.5×	86 1.9×	20 0.8×	11	323
Paul B. Sharp United States	8	91 0.9×	132 1.3×	154 1.6×	41 0.9×	22 0.9×	20	274
Corinne N. Carlton United States	11	159 1.5×	69 0.7×	114 1.2×	50 1.1×	10 0.4×	30	250
Wenhui Yang China	9	170 1.6×	94 0.9×	219 2.2×	61 1.4×	20 0.8×	19	353
Julian Chiarella Canada	6	81 0.8×	57 0.6×	51 0.5×	55 1.2×	45 1.9×	7	237
Shimrit Daches Israel	11	144 1.4×	91 0.9×	198 2.0×	44 1.0×	37 1.5×	24	302
Maud Grol Belgium	10	127 1.2×	114 1.2×	162 1.6×	57 1.3×	23 1.0×	15	310
Iulia Banica Canada	9	107 1.0×	166 1.7×	152 1.5×	40 0.9×	28 1.2×	17	275
Lindsey M. Matt United States	9	171 1.6×	57 0.6×	182 1.8×	78 1.7×	43 1.8×	13	309

Countries citing papers authored by Alexa Hubbard

Since Specialization

Citations

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

Fields of papers citing papers by Alexa Hubbard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexa Hubbard

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

All Works

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7 of 7 papers shown

Hubbard, Alexa, et al.. (2018). Beyond direct reference: Comparing the present to the past promotes abstract processing.. Journal of Experimental Psychology General. 147(6). 933–938. 5 indexed citations

Doré, Bruce, Alexa Hubbard, Jochen Weber, et al.. (2018). Negative Autobiographical Memory in Depression Reflects Elevated Amygdala-Hippocampal Reactivity and Hippocampally Associated Emotion Regulation. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 3(4). 358–366. 36 indexed citations

Hubbard, Alexa, et al.. (2018). The Social Psychology of Living Well. 2 indexed citations

Silvers, Jennifer A., Alexa Hubbard, Jocelyn Shu, et al.. (2016). Affective lability and difficulties with regulation are differentially associated with amygdala and prefrontal response in women with Borderline Personality Disorder. Psychiatry Research Neuroimaging. 254. 74–82. 29 indexed citations

Silvers, Jennifer A., Alexa Hubbard, Sadia R. Chaudhury, et al.. (2016). Suicide attempters with Borderline Personality Disorder show differential orbitofrontal and parietal recruitment when reflecting on aversive memories. Journal of Psychiatric Research. 81. 71–78. 23 indexed citations

Doré, Bruce, et al.. (2016). Finding Positive Meaning in Negative Experiences Engages Ventral Striatal and Ventromedial Prefrontal Regions Associated with Reward Valuation. Journal of Cognitive Neuroscience. 29(2). 235–244. 40 indexed citations

Silvers, Jennifer A., Jocelyn Shu, Alexa Hubbard, Jochen Weber, & Kevin N. Ochsner. (2014). Concurrent and lasting effects of emotion regulation on amygdala response in adolescence and young adulthood. Developmental Science. 18(5). 771–784. 94 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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