Marley D. Kass

554 total citations
12 papers, 371 citations indexed

About

Marley D. Kass is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Marley D. Kass has authored 12 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Sensory Systems and 6 papers in Nutrition and Dietetics. Recurrent topics in Marley D. Kass's work include Olfactory and Sensory Function Studies (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Marley D. Kass is often cited by papers focused on Olfactory and Sensory Function Studies (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Marley D. Kass collaborates with scholars based in United States, Canada and Singapore. Marley D. Kass's co-authors include John P. McGann, Joseph Pottackal, Andrew H. Moberly, Xiangqian Liu, Linda Chang, Michael Vigorito, Sulie L. Chang, He Li, Mark M. Gergues and Valentine Andreu and has published in prestigious journals such as Science, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Marley D. Kass

12 papers receiving 367 citations

Peers

Marley D. Kass
Thomas G. Mast United States
M. Kiraly Switzerland
Joseph Pottackal United States
Roberto Vincis United States
Rodrigo Pacifico United States
Narendra R. Joshi United States
Marley D. Kass
Citations per year, relative to Marley D. Kass Marley D. Kass (= 1×) peers Jeanne Pager

Countries citing papers authored by Marley D. Kass

Since Specialization
Citations

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

Fields of papers citing papers by Marley D. Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marley D. Kass. 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 Marley D. Kass. The network helps show where Marley D. Kass may publish in the future.

Co-authorship network of co-authors of Marley D. Kass

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

All Works

12 of 12 papers shown
1.
Nguyen, Phi T., Marley D. Kass, Katherine M. Nautiyal, et al.. (2022). Contribution of the Opioid System to the Antidepressant Effects of Fluoxetine. Biological Psychiatry. 92(12). 952–963. 9 indexed citations
2.
Kass, Marley D., et al.. (2018). Stable olfactory sensory neuron in vivo physiology during normal aging. Neurobiology of Aging. 69. 33–37. 5 indexed citations
3.
Kass, Marley D. & John P. McGann. (2017). Persistent, generalized hypersensitivity of olfactory bulb interneurons after olfactory fear generalization. Neurobiology of Learning and Memory. 146. 47–57. 11 indexed citations
4.
Kass, Marley D., et al.. (2017). Differences in peripheral sensory input to the olfactory bulb between male and female mice. Scientific Reports. 7(1). 45851–45851. 36 indexed citations
5.
Kass, Marley D., et al.. (2015). Changes in Olfactory Sensory Neuron Physiology and Olfactory Perceptual Learning After Odorant Exposure in Adult Mice. Chemical Senses. 41(2). bjv065–bjv065. 23 indexed citations
6.
Kass, Marley D., et al.. (2013). Odor-Specific, Olfactory Marker Protein-Mediated Sparsening of Primary Olfactory Input to the Brain after Odor Exposure. Journal of Neuroscience. 33(15). 6594–6602. 30 indexed citations
7.
Kass, Marley D., Andrew H. Moberly, & John P. McGann. (2013). Spatiotemporal Alterations in Primary Odorant Representations in Olfactory Marker Protein Knockout Mice. PLoS ONE. 8(4). e61431–e61431. 25 indexed citations
8.
Kass, Marley D., et al.. (2013). Fear Learning Enhances Neural Responses to Threat-Predictive Sensory Stimuli. Science. 342(6164). 1389–1392. 117 indexed citations
9.
Moberly, Andrew H., et al.. (2012). Intranasal exposure to manganese disrupts neurotransmitter release from glutamatergic synapses in the central nervous system in vivo. NeuroToxicology. 33(5). 996–1004. 30 indexed citations
10.
Kass, Marley D., et al.. (2012). Changes in the Neural Representation of Odorants After Olfactory Deprivation in the Adult Mouse Olfactory Bulb. Chemical Senses. 38(1). 77–89. 21 indexed citations
11.
Kass, Marley D., Xiangqian Liu, Michael Vigorito, Linda Chang, & Sulie L. Chang. (2010). Methamphetamine-Induced Behavioral and Physiological Effects in Adolescent and Adult HIV-1 Transgenic Rats. Journal of Neuroimmune Pharmacology. 5(4). 566–573. 25 indexed citations
12.
Liu, Xiangqian, Linda Chang, Michael Vigorito, et al.. (2009). Methamphetamine-Induced Behavioral Sensitization Is Enhanced in the HIV-1 Transgenic Rat. Journal of Neuroimmune Pharmacology. 4(3). 309–316. 39 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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