Ki A. Goosens

3.6k total citations
50 papers, 2.5k citations indexed

About

Ki A. Goosens is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ki A. Goosens has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Behavioral Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 18 papers in Cognitive Neuroscience. Recurrent topics in Ki A. Goosens's work include Stress Responses and Cortisol (22 papers), Memory and Neural Mechanisms (17 papers) and Neuroscience and Neuropharmacology Research (15 papers). Ki A. Goosens is often cited by papers focused on Stress Responses and Cortisol (22 papers), Memory and Neural Mechanisms (17 papers) and Neuroscience and Neuropharmacology Research (15 papers). Ki A. Goosens collaborates with scholars based in United States, United Kingdom and Pakistan. Ki A. Goosens's co-authors include Stephen Maren, Jennifer A. Hobin, Stanley A. Yap, Susana S. Correia, Daniela Kaufer, Robert M. Sapolsky, Anthony Burgos-Robles, Luisa P. Cacheaux, Hermona Soreq and Ari Meerson and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Ki A. Goosens

49 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ki A. Goosens United States 25 1.2k 1.1k 798 433 401 50 2.5k
Étienne Coutureau France 31 1.5k 1.2× 1.5k 1.4× 483 0.6× 339 0.8× 375 0.9× 62 2.5k
Kristen E. Pleil United States 22 1.5k 1.3× 939 0.8× 588 0.7× 596 1.4× 489 1.2× 38 2.3k
Mouna Maroun Israel 28 1.3k 1.1× 1.4k 1.2× 1.1k 1.3× 349 0.8× 763 1.9× 64 2.7k
Dennis R. Sparta United States 21 1.8k 1.5× 1.2k 1.0× 406 0.5× 690 1.6× 462 1.2× 36 2.7k
Stephen B. McHugh United Kingdom 20 1.7k 1.5× 1.5k 1.4× 785 1.0× 482 1.1× 458 1.1× 30 3.3k
Montserrat Navarro United States 26 1.2k 1.0× 541 0.5× 522 0.7× 448 1.0× 246 0.6× 57 2.3k
Juan L. Gomez United States 17 878 0.7× 464 0.4× 502 0.6× 341 0.8× 295 0.7× 28 1.9k
M. Dulce Madeira Portugal 32 1.3k 1.1× 769 0.7× 1.2k 1.5× 445 1.0× 682 1.7× 106 3.7k
Georges Di Scala France 33 1.6k 1.4× 1.5k 1.3× 433 0.5× 390 0.9× 445 1.1× 95 2.6k
Carles Sanchis‐Segura Spain 34 2.0k 1.7× 896 0.8× 545 0.7× 974 2.2× 385 1.0× 72 3.8k

Countries citing papers authored by Ki A. Goosens

Since Specialization
Citations

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

Fields of papers citing papers by Ki A. Goosens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki A. Goosens. 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 Ki A. Goosens. The network helps show where Ki A. Goosens may publish in the future.

Co-authorship network of co-authors of Ki A. Goosens

This figure shows the co-authorship network connecting the top 25 collaborators of Ki A. Goosens. A scholar is included among the top collaborators of Ki A. Goosens 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 Ki A. Goosens. Ki A. Goosens 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.
2.
Spicer, Julie, Dolores Malaspina, Stephanie V. Blank, & Ki A. Goosens. (2024). Follicle-stimulating hormone: More than a marker for menopause. Psychiatry Research. 345. 116239–116239. 3 indexed citations
3.
Costi, Sara, Manish K. Jha, Jessica Overbey, et al.. (2022). A randomized pilot study of the prophylactic effect of ketamine on laboratory-induced stress in healthy adults. Neurobiology of Stress. 22. 100505–100505. 9 indexed citations
4.
Bibi, Safia, et al.. (2021). T3 is linked to stress‐associated reduction of prolactin in lactating women. Journal of Neuroendocrinology. 33(8). e13003–e13003. 8 indexed citations
5.
Eiden, Lee E., Ki A. Goosens, Kenneth A. Jacobson, Lorenzo Leggio, & Limei Zhang. (2020). Peptide-Liganded G Protein-Coupled Receptors as Neurotherapeutics. ACS Pharmacology & Translational Science. 3(2). 190–202. 5 indexed citations
6.
Stone, Lauren, et al.. (2020). Ghrelin as a Stress Hormone: Implications for Psychiatric Illness. Biological Psychiatry. 88(7). 531–540. 42 indexed citations
7.
Friedman, Alexander, Daigo Homma, Bernard Bloem, et al.. (2017). Chronic Stress Alters Striosome-Circuit Dynamics, Leading to Aberrant Decision-Making. Cell. 171(5). 1191–1205.e28. 106 indexed citations
8.
Simões, Ana Patrícia, Nuno J. Machado, Nélio Gonçalves, et al.. (2016). Adenosine A2A Receptors in the Amygdala Control Synaptic Plasticity and Contextual Fear Memory. Neuropsychopharmacology. 41(12). 2862–2871. 75 indexed citations
9.
Correia, Susana S., et al.. (2016). Amygdala-ventral striatum circuit activation decreases long-term fear. eLife. 5. 59 indexed citations
10.
Varela, Carmen, Sarah A. Weiss, Michael M. Halassa, et al.. (2016). Tracking the Time-Dependent Role of the Hippocampus in Memory Recall Using DREADDs. PLoS ONE. 11(5). e0154374–e0154374. 18 indexed citations
11.
Gisabella, Barbara, et al.. (2016). Growth hormone biases amygdala network activation after fear learning. Nature. 1 indexed citations
12.
Gisabella, Barbara, et al.. (2016). Growth hormone biases amygdala network activation after fear learning. Translational Psychiatry. 6(11). e960–e960. 25 indexed citations
13.
Stone, Lauren, Seh Hong Lim, Barbara Gisabella, et al.. (2016). Central Ghrelin Resistance Permits the Overconsolidation of Fear Memory. Biological Psychiatry. 81(12). 1003–1013. 53 indexed citations
14.
Wickersham, Ian R., Heather A. Sullivan, Gerald M. Pao, et al.. (2015). Lentiviral Vectors for Retrograde Delivery of Recombinases and Transactivators. Cold Spring Harbor Protocols. 2015(4). pdb.prot075879–pdb.prot075879. 7 indexed citations
15.
Burgos-Robles, Anthony, et al.. (2013). A ghrelin–growth hormone axis drives stress-induced vulnerability to enhanced fear. DSpace@MIT (Massachusetts Institute of Technology). 5 indexed citations
16.
Burgos-Robles, Anthony, et al.. (2013). A ghrelin–growth hormone axis drives stress-induced vulnerability to enhanced fear. Molecular Psychiatry. 19(12). 1284–1294. 141 indexed citations
17.
Meerson, Ari, Luisa P. Cacheaux, Ki A. Goosens, et al.. (2009). Changes in Brain MicroRNAs Contribute to Cholinergic Stress Reactions. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
18.
Goosens, Ki A., Jennifer A. Hobin, & Stephen Maren. (2003). Auditory-Evoked Spike Firing in the Lateral Amygdala and Pavlovian Fear Conditioning. Neuron. 40(5). 1013–1022. 105 indexed citations
19.
Mistretta, Charlotte M., Ki A. Goosens, Isabel Fariñas, & Louis F. Reichardt. (1999). Alterations in size, number, and morphology of gustatory papillae and taste buds in BDNF null mutant mice demonstrate neural dependence of developing taste organs. The Journal of Comparative Neurology. 409(1). 13–24. 8 indexed citations
20.
Burrows, Heather L., Masaharu Nakajima, Ki A. Goosens, et al.. (1998). Excess corticotropin releasing hormone-binding protein in the hypothalamic-pituitary-adrenal axis in transgenic mice.. Journal of Clinical Investigation. 101(7). 1439–1447. 73 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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