Jason Shumake

4.2k total citations
74 papers, 2.4k citations indexed

About

Jason Shumake is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Jason Shumake has authored 74 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 27 papers in Experimental and Cognitive Psychology and 20 papers in Social Psychology. Recurrent topics in Jason Shumake's work include Stress Responses and Cortisol (20 papers), Mental Health Research Topics (18 papers) and Neuroendocrine regulation and behavior (18 papers). Jason Shumake is often cited by papers focused on Stress Responses and Cortisol (20 papers), Mental Health Research Topics (18 papers) and Neuroendocrine regulation and behavior (18 papers). Jason Shumake collaborates with scholars based in United States, Germany and United Kingdom. Jason Shumake's co-authors include F. Gonzalez‐Lima, Christopher G. Beevers, Emmeline Edwards, Douglas W. Barrett, Héctor González‐Pardo, Nélida M. Conejo, Marie‐H. Monfils, Dirk Jones, René A. Colorado and Frank W. Ohl and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Jason Shumake

70 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Shumake United States 27 862 796 592 507 465 74 2.4k
Augusto Pasini Italy 32 841 1.0× 640 0.8× 868 1.5× 656 1.3× 301 0.6× 92 3.2k
Dongju Seo United States 24 652 0.8× 786 1.0× 536 0.9× 270 0.5× 425 0.9× 48 2.5k
Hannah F. Clarke United Kingdom 25 1.3k 1.5× 1.5k 1.9× 353 0.6× 378 0.7× 304 0.7× 36 2.9k
Marisa M. Silveri United States 35 1.3k 1.5× 1.2k 1.5× 345 0.6× 291 0.6× 293 0.6× 86 3.3k
Lise Gutknecht Germany 29 1.2k 1.4× 661 0.8× 314 0.5× 417 0.8× 269 0.6× 39 2.7k
Michael Dettling Germany 32 424 0.5× 535 0.7× 649 1.1× 442 0.9× 197 0.4× 77 2.7k
Andre Der‐Avakian United States 26 932 1.1× 643 0.8× 1.0k 1.7× 634 1.3× 368 0.8× 41 2.6k
Mathias Zink Germany 33 831 1.0× 991 1.2× 445 0.8× 337 0.7× 439 0.9× 133 3.9k
Angelika Erhardt Germany 26 384 0.4× 444 0.6× 481 0.8× 306 0.6× 266 0.6× 70 2.3k
Janne Grønli Norway 25 441 0.5× 766 1.0× 511 0.9× 359 0.7× 948 2.0× 71 2.7k

Countries citing papers authored by Jason Shumake

Since Specialization
Citations

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

Fields of papers citing papers by Jason Shumake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Shumake

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Shumake. A scholar is included among the top collaborators of Jason Shumake 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 Jason Shumake. Jason Shumake 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.
McNamara, Mary, Jason Shumake, & Christopher G. Beevers. (2025). Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking. PLoS ONE. 20(4). e0318923–e0318923.
2.
McNamara, Mary, et al.. (2023). Beyond Face Value: Assessing the Factor Structure of an Eye-Tracking Based Attention Bias Task. Cognitive Therapy and Research. 47(5). 772–787. 4 indexed citations
3.
Smits, Jasper A. J., Michael J. Telch, Michael W. Otto, et al.. (2023). CO2 reactivity is associated with individual differences in appetitive extinction memory. Physiology & Behavior. 266. 114183–114183. 1 indexed citations
4.
Mullarkey, Michael C, Mallory Dobias, Jenna Sung, et al.. (2022). Web-Based Single Session Intervention for Perceived Control Over Anxiety During COVID-19: Randomized Controlled Trial. JMIR Mental Health. 9(4). e33473–e33473. 9 indexed citations
5.
McNamara, Mary, et al.. (2022). Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions. Behaviour Research and Therapy. 153. 104086–104086. 27 indexed citations
6.
Barczyk, Amanda N., R. Cameron Craddock, Gabriella M. Harari, et al.. (2021). Improving prediction of real-time loneliness and companionship type using geosocial features of personal smartphone data. Smart Health. 20. 100180–100180. 20 indexed citations
7.
Beevers, Christopher G., Kean J. Hsu, David M. Schnyer, Jasper A. J. Smits, & Jason Shumake. (2021). Change in negative attention bias mediates the association between attention bias modification training and depression symptom improvement.. Journal of Consulting and Clinical Psychology. 89(10). 816–829. 12 indexed citations
8.
Mullarkey, Michael C, Igor Marchetti, Karen Bluth, et al.. (2021). Symptom centrality and infrequency of endorsement identify adolescent depression symptoms more strongly associated with life satisfaction. Journal of Affective Disorders. 289. 90–97. 18 indexed citations
9.
Beevers, Christopher G., Michael C Mullarkey, Justin Dainer‐Best, et al.. (2019). Association between negative cognitive bias and depression: A symptom-level approach.. Journal of Abnormal Psychology. 128(3). 212–227. 88 indexed citations
10.
Papini, Santiago, Derek Pisner, Jason Shumake, et al.. (2018). Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization. Journal of Anxiety Disorders. 60. 35–42. 46 indexed citations
11.
Dainer‐Best, Justin, Hae Yeon Lee, Jason Shumake, David S. Yeager, & Christopher G. Beevers. (2018). Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.. Psychological Assessment. 30(11). 1527–1540. 43 indexed citations
12.
Marchetti, Igor, Jason Shumake, Ivan Grahek, & Ernst H. W. Koster. (2018). Temperamental factors in remitted depression: The role of effortful control and attentional mechanisms. Journal of Affective Disorders. 235. 499–505. 18 indexed citations
13.
Hsu, Kean J., Derek Pisner, Jason Shumake, et al.. (2018). Attentional bias modification treatment for depression: Study protocol for a randomized controlled trial. Contemporary Clinical Trials. 75. 59–66. 6 indexed citations
14.
Monfils, Marie‐H., et al.. (2018). Predicting extinction phenotype to optimize fear reduction. Psychopharmacology. 236(1). 99–110. 19 indexed citations
15.
Beevers, Christopher G., et al.. (2017). Effectiveness of an internet intervention (Deprexis) for depression in a United States adult sample: A parallel-group pragmatic randomized controlled trial.. Journal of Consulting and Clinical Psychology. 85(4). 367–380. 50 indexed citations
16.
Wilby, Robert L., et al.. (2015). Toward an Ethical Framework for Climate Services. AGU Fall Meeting Abstracts. 2015. 7 indexed citations
17.
Ilango, Anton, Jason Shumake, Wolfram Wetzel, & Frank W. Ohl. (2014). Contribution of Emotional and Motivational Neurocircuitry to Cue-Signaled Active Avoidance Learning. Frontiers in Behavioral Neuroscience. 8. 372–372. 15 indexed citations
18.
Shumake, Jason, et al.. (2014). Predictability and heritability of individual differences in fear learning. Animal Cognition. 17(5). 1207–1221. 39 indexed citations
19.
Shumake, Jason & F. Gonzalez‐Lima. (2013). Functional opposition between habenula metabolism and the brain reward system. Frontiers in Human Neuroscience. 7. 662–662. 12 indexed citations
20.
Shumake, Jason, et al.. (2010). Novelty-evoked activity in open field predicts susceptibility to helpless behavior. Physiology & Behavior. 101(5). 746–754. 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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