Jennifer R. Gowins

455 total citations
8 papers, 327 citations indexed

About

Jennifer R. Gowins is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Jennifer R. Gowins has authored 8 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Experimental and Cognitive Psychology, 7 papers in Cognitive Neuroscience and 3 papers in Pharmacology. Recurrent topics in Jennifer R. Gowins's work include Functional Brain Connectivity Studies (7 papers), Mental Health Research Topics (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Jennifer R. Gowins is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Mental Health Research Topics (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Jennifer R. Gowins collaborates with scholars based in United States. Jennifer R. Gowins's co-authors include Scott A. Langenecker, Lisanne M. Jenkins, Rachel H. Jacobs, Runa Bhaumik, Alyssa Barba, Brian J. Mickey, Jon‐Kar Zubieta, Jackie K. Gollan, Elliot A. Layden and Catherine Dion and has published in prestigious journals such as Brain, Psychological Medicine and Journal of Affective Disorders.

In The Last Decade

Jennifer R. Gowins

8 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer R. Gowins United States 8 240 192 60 44 41 8 327
Nadja Dörig Switzerland 5 228 0.9× 128 0.7× 48 0.8× 62 1.4× 43 1.0× 7 332
Jinrong Sun China 11 152 0.6× 100 0.5× 63 1.1× 45 1.0× 66 1.6× 33 291
Qiangli Dong China 12 178 0.7× 111 0.6× 64 1.1× 58 1.3× 88 2.1× 37 339
Alyssa Barba United States 6 297 1.2× 222 1.2× 45 0.8× 114 2.6× 75 1.8× 7 429
Michelle T. Kassel United States 12 172 0.7× 126 0.7× 56 0.9× 24 0.5× 42 1.0× 29 299
Mohammad Ridwan Chattun China 12 206 0.9× 89 0.5× 31 0.5× 47 1.1× 40 1.0× 18 283
Ilinca Serbanescu Germany 4 155 0.6× 103 0.5× 31 0.5× 35 0.8× 39 1.0× 6 256
Junneng Shao China 12 297 1.2× 149 0.8× 56 0.9× 83 1.9× 65 1.6× 31 398
Maobin Wei China 10 336 1.4× 179 0.9× 39 0.7× 144 3.3× 24 0.6× 15 412
Meihui Qiu China 9 195 0.8× 92 0.5× 29 0.5× 66 1.5× 51 1.2× 13 322

Countries citing papers authored by Jennifer R. Gowins

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer R. Gowins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer R. Gowins. 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 Jennifer R. Gowins. The network helps show where Jennifer R. Gowins may publish in the future.

Co-authorship network of co-authors of Jennifer R. Gowins

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

All Works

8 of 8 papers shown
1.
Satyshur, Maureen D., Elliot A. Layden, Jennifer R. Gowins, A. R. Buchanan, & Jackie K. Gollan. (2018). Functional connectivity of reflective and brooding rumination in depressed and healthy women. Cognitive Affective & Behavioral Neuroscience. 18(5). 884–901. 49 indexed citations
2.
Bessette, Katie L., Lisanne M. Jenkins, Jennifer R. Gowins, et al.. (2018). Reliability, Convergent Validity and Time Invariance of Default Mode Network Deviations in Early Adult Major Depressive Disorder. Frontiers in Psychiatry. 9. 244–244. 29 indexed citations
3.
Crane, Natania A., Lisanne M. Jenkins, Runa Bhaumik, et al.. (2017). Multidimensional prediction of treatment response to antidepressants with cognitive control and functional MRI. Brain. 140(2). 472–486. 55 indexed citations
4.
Jenkins, Lisanne M., Ashley D. Kendall, Michelle T. Kassel, et al.. (2017). Considering sex differences clarifies the effects of depression on facial emotion processing during fMRI. Journal of Affective Disorders. 225. 129–136. 27 indexed citations
5.
Jacobs, Rachel H., Alyssa Barba, Jennifer R. Gowins, et al.. (2016). Decoupling of the amygdala to other salience network regions in adolescent-onset recurrent major depressive disorder. Psychological Medicine. 46(5). 1055–1067. 70 indexed citations
6.
Bhaumik, Runa, Lisanne M. Jenkins, Jennifer R. Gowins, et al.. (2016). Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity. NeuroImage Clinical. 16. 390–398. 59 indexed citations
7.
Jenkins, Lisanne M., Michelle T. Kassel, Jennifer R. Gowins, et al.. (2015). Amygdala and dorsomedial hyperactivity to emotional faces in youth with remitted Major Depression. Social Cognitive and Affective Neuroscience. 11(5). 736–745. 16 indexed citations
8.
Jacobs, Rachel H., et al.. (2015). Biomarkers of intergenerational risk for depression: A review of mechanisms in longitudinal high-risk (LHR) studies. Journal of Affective Disorders. 175. 494–506. 22 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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