Luke R. Johnson

4.5k total citations
66 papers, 2.1k citations indexed

About

Luke R. Johnson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Luke R. Johnson has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 30 papers in Cellular and Molecular Neuroscience and 21 papers in Behavioral Neuroscience. Recurrent topics in Luke R. Johnson's work include Memory and Neural Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (27 papers) and Stress Responses and Cortisol (21 papers). Luke R. Johnson is often cited by papers focused on Memory and Neural Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (27 papers) and Stress Responses and Cortisol (21 papers). Luke R. Johnson collaborates with scholars based in United States, Australia and Singapore. Luke R. Johnson's co-authors include Aleksandra Vojvodić, Yury Gogotsi, Zhi Wei Seh, Albertus D. Handoko, Babak Anasori, Joseph E. LeDoux, Andrew R. Battle, Kurt Fredrickson, Nicholas Chaaya and Hadley C. Bergstrom and has published in prestigious journals such as ACS Nano, PLoS ONE and Brain Research.

In The Last Decade

Luke R. Johnson

63 papers receiving 2.1k citations

Peers

Luke R. Johnson

RESE

CMN

Xiaohua Cao China

Pengfei Wei China

Jidong Guo United States

Majid H. Mohajerani Canada

Jinzhao Ji China

Yasuhiro Tanaka Japan

Limin Mao United States

Börje Bjelke Sweden

Bingfeng Li China

Aihua Li United States

Xiaohua Cao China

Luke R. Johnson

1.0k ×1.4

439 ×0.7

RESE

180 ×0.3

CMN

779 ×1.5

73 ×0.2

Citations per year, relative to Luke R. Johnson Luke R. Johnson (= 1×) peers Xiaohua Cao

Countries citing papers authored by Luke R. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Luke R. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke R. Johnson

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

All Works

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20 of 20 papers shown

Johnson, Luke R., et al.. (2025). Effects of ketamine on fear memory extinction: a review of preclinical literature. Frontiers in Neuroscience. 19. 1546460–1546460. 2 indexed citations

Canales, Juan J., et al.. (2025). Sequential administration of D-cycloserine and MK801 reduces pERK-expressing neurons in the lateral amygdala and disrupts threat memory reconsolidation. Neuroscience. 584. 382–394.

Haass, Nikolas K., Rajaraman Eri, Juan J. Canales, et al.. (2024). The clinically relevant MEK inhibitor mirdametinib combined with D-cycloserine and prediction error disrupts fear memory in PTSD models. Translational Psychiatry. 14(1). 492–492. 1 indexed citations

Lim, Kang Rui Garrick, Albertus D. Handoko, Luke R. Johnson, et al.. (2020). 2H-MoS₂ on Mo₂CT_x MXene Nanohybrid for Efficient and Durable Electrocatalytic Hydrogen Evolution. ACS Nano. 14(11). 16140–16155. 225 indexed citations

Johnston, Patrick, et al.. (2020). Boundary conditions of post-retrieval extinction: A direct comparison of low and high partial reinforcement. Neurobiology of Learning and Memory. 174. 107285–107285. 8 indexed citations

Johnson, Luke R., Andrew R. Battle, & Boris Martinac. (2019). Remembering Mechanosensitivity of NMDA Receptors. Frontiers in Cellular Neuroscience. 13. 19 indexed citations

Battle, Andrew R., et al.. (2019). Pavlovian Olfactory Fear Conditioning: Its Neural Circuity and Importance for Understanding Clinical Fear-Based Disorders. Frontiers in Molecular Neuroscience. 12. 221–221. 10 indexed citations

Chaaya, Nicholas, Angela Jacques, Arnauld Belmer, et al.. (2018). Localization of Contextual and Context Removed Auditory Fear Memory within the Basolateral Amygdala Complex. Neuroscience. 398. 231–251. 6 indexed citations

Handoko, Albertus D., Kurt Fredrickson, Babak Anasori, et al.. (2017). Tuning the Basal Plane Functionalization of Two-Dimensional Metal Carbides (MXenes) To Control Hydrogen Evolution Activity. ACS Applied Energy Materials. 1(1). 173–180. 358 indexed citations

10.

Battle, Andrew R., et al.. (2016). Membrane Associated Synaptic Mineralocorticoid and Glucocorticoid Receptors Are Rapid Regulators of Dendritic Spines. Frontiers in Cellular Neuroscience. 10. 161–161. 9 indexed citations

11.

Bergstrom, Hadley C., et al.. (2013). Neurons Activated During Fear Memory Consolidation and Reconsolidation are Mapped to a Common and New Topography in the Lateral Amygdala. Brain Topography. 26(3). 468–478. 19 indexed citations

12.

Choi, Kwang H., Jennifer L. McGuire, Guoqiang Xing, et al.. (2012). Expression pattern of the cannabinoid receptor genes in the frontal cortex of mood disorder patients and mice selectively bred for high and low fear. Journal of Psychiatric Research. 46(7). 882–889. 3 indexed citations

13.

Choi, Kwang H., Jennifer L. McGuire, Brandon W. Higgs, et al.. (2012). Expression Profiles of Mitochondrial Genes in the Frontal Cortex and the Caudate Nucleus of Developing Humans and Mice Selectively Bred for High and Low Fear. PLoS ONE. 7(11). e49183–e49183. 13 indexed citations

14.

Johnson, Luke R., Neil E. Grunberg, Hadley C. Bergstrom, & Eric M. Prager. (2011). The importance of reporting housing and husbandry in rat research. Faculty of Health. 2 indexed citations

15.

Prager, Eric M., Hadley C. Bergstrom, Neil E. Grunberg, & Luke R. Johnson. (2011). The Importance of Reporting Housing and Husbandry in Rat Research. Frontiers in Behavioral Neuroscience. 5. 38–38. 53 indexed citations

16.

Choi, Kwang H., et al.. (2011). Analysis of Kinase Gene Expression in the Frontal Cortex of Suicide Victims: Implications of Fear and Stress†. Frontiers in Behavioral Neuroscience. 5. 46–46. 17 indexed citations

17.

Radley, Jason J., Claudia R. Farb, Yong He, et al.. (2007). The distribution of NMDA and AMPA receptor subunits at thalamo-amygdala dendritic spines. Europe PMC (PubMed Central). 45 indexed citations

18.

Johnson, Luke R., Mian Hou, & Joseph E. LeDoux. (2006). Afferent specific regulation of cortical and subcortical synaptic input to the lateral amygdala by norepinephrine. QUT ePrints (Queensland University of Technology). 2 indexed citations

19.

Johnson, Luke R., et al.. (2001). Quantification of the total neuronal structure of the fear conditioning circuit of the lateral amygdala of the rat. QUT ePrints (Queensland University of Technology). 27(1). 495. 1 indexed citations

20.

Johnson, Luke R., et al.. (1994). Input from the amygdala to the rat nucleus accumbens: Its relationship with tyrosine hydroxylase immunoreactivity and identified neurons. Neuroscience. 61(4). 851–865. 141 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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