Marisela Morales

16.2k total citations · 2 hit papers
148 papers, 12.2k citations indexed

About

Marisela Morales is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Marisela Morales has authored 148 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Cellular and Molecular Neuroscience, 70 papers in Molecular Biology and 34 papers in Cognitive Neuroscience. Recurrent topics in Marisela Morales's work include Neuroscience and Neuropharmacology Research (83 papers), Neurotransmitter Receptor Influence on Behavior (75 papers) and Receptor Mechanisms and Signaling (42 papers). Marisela Morales is often cited by papers focused on Neuroscience and Neuropharmacology Research (83 papers), Neurotransmitter Receptor Influence on Behavior (75 papers) and Receptor Mechanisms and Signaling (42 papers). Marisela Morales collaborates with scholars based in United States, Taiwan and Sweden. Marisela Morales's co-authors include Huiling Wang, Elyssa B. Margolis, Nora D. Volkow, Floyd E. Bloom, David H. Root, Tsuyoshi Yamaguchi, Jia Qi, Yavin Shaham, Barry J. Hoffer and Shiliang Zhang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Marisela Morales

148 papers receiving 12.0k citations

Hit Papers

The Brain on Drugs: From ... 2015 2026 2018 2022 2015 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marisela Morales United States 65 8.3k 4.5k 3.7k 1.2k 1.0k 148 12.2k
Christian Lüscher Switzerland 59 11.0k 1.3× 6.2k 1.4× 4.5k 1.2× 759 0.7× 684 0.7× 133 14.5k
Yuchio Yanagawa Japan 64 8.3k 1.0× 5.0k 1.1× 4.3k 1.2× 1.4k 1.2× 871 0.8× 321 14.6k
Susan R. Sesack United States 56 9.9k 1.2× 4.3k 1.0× 5.1k 1.4× 755 0.6× 956 0.9× 92 12.7k
Salah El Mestikawy France 51 8.4k 1.0× 5.7k 1.3× 2.0k 0.5× 738 0.6× 820 0.8× 128 11.3k
Sara R. Jones United States 56 9.8k 1.2× 5.9k 1.3× 2.6k 0.7× 982 0.8× 864 0.8× 187 13.6k
Ariel Y. Deutch United States 57 8.2k 1.0× 3.7k 0.8× 3.8k 1.0× 1.1k 1.0× 977 0.9× 124 12.1k
Mohamed Jaber France 42 8.0k 1.0× 5.0k 1.1× 2.0k 0.5× 638 0.5× 916 0.9× 106 12.1k
Sven Ove Ögren Sweden 61 8.7k 1.1× 5.4k 1.2× 1.9k 0.5× 765 0.7× 1.0k 1.0× 328 13.1k
Stefano Vicini United States 62 10.0k 1.2× 6.4k 1.4× 2.6k 0.7× 661 0.6× 838 0.8× 204 13.1k
William C. Wetsel United States 63 5.5k 0.7× 5.9k 1.3× 2.0k 0.5× 569 0.5× 870 0.8× 206 13.0k

Countries citing papers authored by Marisela Morales

Since Specialization
Citations

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

Fields of papers citing papers by Marisela Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisela Morales

This figure shows the co-authorship network connecting the top 25 collaborators of Marisela Morales. A scholar is included among the top collaborators of Marisela Morales 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 Marisela Morales. Marisela Morales 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.
Zapata, Agustin, et al.. (2024). Basal forebrain-lateral habenula inputs and control of impulsive behavior. Neuropsychopharmacology. 49(13). 2060–2068. 3 indexed citations
2.
Zhu, Xingliang, Yuyoung Joo, Ross A. McDevitt, et al.. (2024). Tdrd3-null mice show post-transcriptional and behavioral impairments associated with neurogenesis and synaptic plasticity. Progress in Neurobiology. 233. 102568–102568. 10 indexed citations
3.
Rubio, F. Javier, Daniel Olivares, Christopher Dunn, et al.. (2023). Flow Cytometry of Synaptoneurosomes (FCS) Reveals Increased Ribosomal S6 and Calcineurin Proteins in Activated Medial Prefrontal Cortex to Nucleus Accumbens Synapses. Journal of Neuroscience. 43(23). 4217–4233. 2 indexed citations
4.
Salinas, Armando G., Jeong Oen Lee, Shana M. Augustin, et al.. (2023). Distinct sub-second dopamine signaling in dorsolateral striatum measured by a genetically-encoded fluorescent sensor. Nature Communications. 14(1). 5915–5915. 20 indexed citations
6.
Bonaventura, Jordi, Matthew A. Boehm, Hank P. Jedema, et al.. (2023). Expression of the excitatory opsin ChRERα can be traced longitudinally in rat and nonhuman primate brains with PET imaging. Science Translational Medicine. 15(706). eadd1014–eadd1014. 4 indexed citations
7.
Waung, Maggie W., Joseph R. Driscoll, Christopher OʼBrien, et al.. (2022). A diencephalic circuit in rats for opioid analgesia but not positive reinforcement. Nature Communications. 13(1). 764–764. 15 indexed citations
8.
Miranda‐Barrientos, Jorge, Smriti Mongia, Bing Liu, et al.. (2021). Ventral tegmental area GABA, glutamate, and glutamate‐GABA neurons are heterogeneous in their electrophysiological and pharmacological properties. European Journal of Neuroscience. 54(1). 4061–4084. 25 indexed citations
9.
Raver, Charles, Olivia Uddin, Yadong Ji, et al.. (2020). An Amygdalo-Parabrachial Pathway Regulates Pain Perception and Chronic Pain. Journal of Neuroscience. 40(17). 3424–3442. 91 indexed citations
11.
Mongia, Smriti, Tsuyoshi Yamaguchi, Bing Liu, et al.. (2019). The Ventral Tegmental Area has calbindin neurons with the capability to co‐release glutamate and dopamine into the nucleus accumbens. European Journal of Neuroscience. 50(12). 3968–3984. 17 indexed citations
12.
Vènniro, Marco, Michelle Zhang, Daniele Caprioli, et al.. (2018). Volitional social interaction prevents drug addiction in rat models. Nature Neuroscience. 21(11). 1520–1529. 248 indexed citations
13.
Minj, Albert, M. P. Chauvat, Piero Gamarra, et al.. (2017). The structure of InAlGaN layers grown by metal organic vapour phase epitaxy: effects of threading dislocations and inversion domains from the GaN template. Journal of Microscopy. 268(3). 269–275. 5 indexed citations
14.
Takahashi, Yuji K., et al.. (2017). Dopamine Neurons Respond to Errors in the Prediction of Sensory Features of Expected Rewards. Neuron. 95(6). 1395–1405.e3. 127 indexed citations
15.
Volkow, Nora D. & Marisela Morales. (2015). The Brain on Drugs: From Reward to Addiction. Cell. 162(4). 712–725. 872 indexed citations breakdown →
16.
Cachope, Roger, Yolanda Mateo, Brian N. Mathur, et al.. (2012). Selective Activation of Cholinergic Interneurons Enhances Accumbal Phasic Dopamine Release: Setting the Tone for Reward Processing. Cell Reports. 2(1). 33–41. 377 indexed citations
17.
Fuentealba, Pablo, Thomas Klausberger, Theofanis Karayannis, et al.. (2010). Expression of COUP-TFII Nuclear Receptor in Restricted GABAergic Neuronal Populations in the Adult Rat Hippocampus. Journal of Neuroscience. 30(5). 1595–1609. 96 indexed citations
18.
Hoffer, Barry J., et al.. (2003). Glial cell line neurotrophic factor-family receptor α-1 is present in central neurons with distinct phenotypes. Neuroscience. 116(1). 261–273. 17 indexed citations
20.
Morales, Marisela & E. Fifková. (1989). Distribution of MAP 2 in dendritic spines and its colocalization with actin. Cell and Tissue Research. 256(3). 447–56. 84 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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