Tamara J. Sussman

786 total citations
20 papers, 392 citations indexed

About

Tamara J. Sussman is a scholar working on Cognitive Neuroscience, Clinical Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tamara J. Sussman has authored 20 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Clinical Psychology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tamara J. Sussman's work include Neural and Behavioral Psychology Studies (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Tamara J. Sussman is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Tamara J. Sussman collaborates with scholars based in United States, Hong Kong and Puerto Rico. Tamara J. Sussman's co-authors include Aprajita Mohanty, Jingwen Jin, Mary‐Frances O'Connor, Greg Hajcak, Gregory A. Miller, Wendy Heller, Anna Weinberg, Jonathan Posner, Blair Uniacke and Dominik Biezonski and has published in prestigious journals such as Physical Review Letters, Psychological Science and Cerebral Cortex.

In The Last Decade

Tamara J. Sussman

19 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara J. Sussman United States 10 231 134 91 67 21 20 392
David R. W. Bachhuber United States 7 224 1.0× 99 0.7× 126 1.4× 82 1.2× 12 0.6× 8 420
Valerie L. Jentsch Germany 11 174 0.8× 160 1.2× 119 1.3× 101 1.5× 16 0.8× 18 420
Jiang Qiu China 12 238 1.0× 165 1.2× 105 1.2× 120 1.8× 11 0.5× 33 425
Kai Makita Japan 12 209 0.9× 119 0.9× 60 0.7× 103 1.5× 18 0.9× 34 424
Danielle V. Dellarco United States 7 207 0.9× 118 0.9× 131 1.4× 84 1.3× 16 0.8× 8 416
Maud Grol Belgium 10 114 0.5× 162 1.2× 127 1.4× 57 0.9× 23 1.1× 15 310
Andrew Bauer United States 7 279 1.2× 160 1.2× 65 0.7× 87 1.3× 15 0.7× 7 392
Maia Kipman United States 11 265 1.1× 237 1.8× 111 1.2× 114 1.7× 33 1.6× 12 478
Stacy Eltiti United Kingdom 9 229 1.0× 132 1.0× 41 0.5× 57 0.9× 8 0.4× 16 533
Hui Ai China 11 320 1.4× 204 1.5× 89 1.0× 45 0.7× 9 0.4× 32 471

Countries citing papers authored by Tamara J. Sussman

Since Specialization
Citations

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

Fields of papers citing papers by Tamara J. Sussman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara J. Sussman. 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 Tamara J. Sussman. The network helps show where Tamara J. Sussman may publish in the future.

Co-authorship network of co-authors of Tamara J. Sussman

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara J. Sussman. A scholar is included among the top collaborators of Tamara J. Sussman 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 Tamara J. Sussman. Tamara J. Sussman 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.
Sussman, Tamara J., et al.. (2024). Perceptual Decision-Making Regarding Phylogenetically Salient Stimuli. Affective Science. 6(1). 145–158. 1 indexed citations
2.
Arnold, Michelle, Victoria A. Sanchez, Frank R. Lin, et al.. (2024). Design and Methods of the Early Age-Related Hearing Loss Investigation Randomized Controlled Trial. Otology & Neurotology. 45(5). 594–601. 2 indexed citations
3.
Gonçalves, Priscila Dib, Cristiane S. Duarte, Thomas Corbeil, et al.. (2023). Adverse Childhood Experiences and Risk Patterns of Alcohol and Cannabis Co-Use: A Longitudinal Study of Puerto Rican Youth. Journal of Adolescent Health. 73(3). 421–427. 4 indexed citations
4.
Pagliaccio, David, et al.. (2023). No Meta-analytic Evidence for Risks due to Prenatal Magnetic Resonance Imaging in Animal Models. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(6). 592–598. 2 indexed citations
5.
Sussman, Tamara J., et al.. (2023). Linear Classification of Neural Manifolds with Correlated Variability. Physical Review Letters. 131(2). 27301–27301. 5 indexed citations
6.
Mohanty, Aprajita, et al.. (2023). What Do We Know About Threat-Related Perceptual Decision Making?. Current Directions in Psychological Science. 32(1). 18–25. 4 indexed citations
7.
Sussman, Tamara J., et al.. (2022). The relationship between recent PTSD secondary to sexual assault, hippocampal volume and resting state functional connectivity in adolescent girls. Neurobiology of Stress. 17. 100441–100441. 2 indexed citations
8.
Sussman, Tamara J. & David Pagliaccio. (2022). Pregnancy Testing Before Magnetic Resonance Imaging for Neuroimaging Research: Balancing Risks to Fetuses With Risks to Youth and Adult Participants. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(2). 137–139. 2 indexed citations
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Margolis, Amy, David Pagliaccio, Bruce Ramphal, et al.. (2021). Prenatal environmental tobacco smoke exposure alters children’s cognitive control circuitry: A preliminary study. Environment International. 155. 106516–106516. 17 indexed citations
12.
Sussman, Tamara J., Julián Santaella-Tenorio, Cristiane S. Duarte, et al.. (2020). Do Trajectories of Sensation Seeking Vary by Sex and Child Maltreatment Subtypes?. Journal of Interpersonal Violence. 37(5-6). NP3377–NP3399. 4 indexed citations
13.
Sussman, Tamara J., et al.. (2019). The role of imagery in threat-related perceptual decision making.. Emotion. 20(8). 1495–1501. 11 indexed citations
14.
Uniacke, Blair, Yun Wang, Dominik Biezonski, et al.. (2018). Resting‐state connectivity within and across neural circuits in anorexia nervosa. Brain and Behavior. 9(1). e01205–e01205. 21 indexed citations
15.
Sussman, Tamara J., Jingwen Jin, & Aprajita Mohanty. (2016). Top-down and bottom-up factors in threat-related perception and attention in anxiety. Biological Psychology. 121(Pt B). 160–172. 101 indexed citations
16.
Sussman, Tamara J., et al.. (2016). Here Comes Trouble: Prestimulus Brain Activity Predicts Enhanced Perception of Threat. Cerebral Cortex. 27(4). bhw104–bhw104. 30 indexed citations
17.
Sussman, Tamara J., et al.. (2015). It’s all in the anticipation: How perception of threat is enhanced in anxiety.. Emotion. 16(3). 320–327. 42 indexed citations
18.
O'Connor, Mary‐Frances & Tamara J. Sussman. (2013). Developing the Yearning in Situations of Loss Scale: Convergent and Discriminant Validity for Bereavement, Romantic Breakup, and Homesickness. Death Studies. 38(7). 450–458. 36 indexed citations
19.
Mohanty, Aprajita & Tamara J. Sussman. (2013). Top-down modulation of attention by emotion. Frontiers in Human Neuroscience. 7. 102–102. 66 indexed citations
20.
Sussman, Tamara J., Wendy Heller, Gregory A. Miller, & Aprajita Mohanty. (2013). Emotional Distractors Can Enhance Attention. Psychological Science. 24(11). 2322–2328. 29 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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