Nicole S. Hernandez

580 total citations
12 papers, 422 citations indexed

About

Nicole S. Hernandez is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Nicole S. Hernandez has authored 12 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Developmental Neuroscience. Recurrent topics in Nicole S. Hernandez's work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Nicole S. Hernandez is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Nicole S. Hernandez collaborates with scholars based in United States, Denmark and Chile. Nicole S. Hernandez's co-authors include Heath D. Schmidt, Christopher A. Turner, Pavel I. Ortinski, Bernadette O’Donovan, Elizabeth G. Mietlicki‐Baase, Matthew R. Hayes, Vanessa Weir, Yafang Zhang, Kritika S. Katiyar and Laura A. Struzyna and has published in prestigious journals such as Science Advances, Neuropsychopharmacology and Acta Biomaterialia.

In The Last Decade

Nicole S. Hernandez

12 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole S. Hernandez United States 10 238 135 132 123 80 12 422
Stephanie W. Tobin Canada 15 168 0.7× 25 0.2× 60 0.5× 209 1.7× 97 1.2× 27 518
Vincent R. Mirabella United States 6 75 0.3× 48 0.4× 81 0.6× 99 0.8× 37 0.5× 8 252
Yasushi Itakura Japan 7 186 0.8× 37 0.3× 110 0.8× 53 0.4× 133 1.7× 9 389
W. A. Saad Brazil 14 88 0.4× 139 1.0× 152 1.2× 173 1.4× 111 1.4× 48 576
Magali Perier France 7 65 0.3× 35 0.3× 58 0.4× 116 0.9× 64 0.8× 10 377
Mary F. McMullen United States 6 91 0.4× 39 0.3× 65 0.5× 98 0.8× 160 2.0× 7 365
Gerald M. Herrera United States 14 186 0.8× 41 0.3× 138 1.0× 459 3.7× 138 1.7× 27 845
Ines Tegtmeier Germany 8 123 0.5× 232 1.7× 118 0.9× 409 3.3× 32 0.4× 14 655
Joaquín Pardo Argentina 9 81 0.3× 52 0.4× 24 0.2× 107 0.9× 76 0.9× 24 360
П. М. Маслюков Russia 12 194 0.8× 23 0.2× 165 1.3× 91 0.7× 113 1.4× 72 396

Countries citing papers authored by Nicole S. Hernandez

Since Specialization
Citations

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

Fields of papers citing papers by Nicole S. Hernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole S. Hernandez. 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 Nicole S. Hernandez. The network helps show where Nicole S. Hernandez may publish in the future.

Co-authorship network of co-authors of Nicole S. Hernandez

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole S. Hernandez. A scholar is included among the top collaborators of Nicole S. Hernandez 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 Nicole S. Hernandez. Nicole S. Hernandez 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.
Merkel, R., Nicole S. Hernandez, Vanessa Weir, et al.. (2025). An endogenous GLP-1 circuit engages VTA GABA neurons to regulate mesolimbic dopamine neurons and attenuate cocaine seeking. Science Advances. 11(9). eadr5051–eadr5051. 10 indexed citations
2.
Hernandez, Nicole S., Vanessa Weir, R. Merkel, et al.. (2020). GLP-1 receptor signaling in the laterodorsal tegmental nucleus attenuates cocaine seeking by activating GABAergic circuits that project to the VTA. Molecular Psychiatry. 26(8). 4394–4408. 40 indexed citations
3.
Hernandez, Nicole S. & Heath D. Schmidt. (2019). Central GLP-1 receptors: Novel molecular targets for cocaine use disorder. Physiology & Behavior. 206. 93–105. 39 indexed citations
4.
Zhang, Yafang, Jaclynn A. Elkind, Vanessa Weir, et al.. (2019). Activation of GLP-1 receptors attenuates oxycodone taking and seeking without compromising the antinociceptive effects of oxycodone in rats. Neuropsychopharmacology. 45(3). 451–461. 55 indexed citations
5.
Turner, Christopher A., et al.. (2019). Administration of a novel high affinity PICK1 PDZ domain inhibitor attenuates cocaine seeking in rats. Neuropharmacology. 164. 107901–107901. 11 indexed citations
6.
7.
Hernandez, Nicole S., et al.. (2018). Glucagon-like peptide-1 receptor activation in the ventral tegmental area attenuates cocaine seeking in rats. Neuropsychopharmacology. 43(10). 2000–2008. 90 indexed citations
8.
9.
Urzúa, Ulises, et al.. (2018). Parity-Dependent Hemosiderin and Lipofuscin Accumulation in the Reproductively Aged Mouse Ovary. Analytical Cellular Pathology. 2018. 1–7. 25 indexed citations
10.
Hernandez, Nicole S., Bernadette O’Donovan, Pavel I. Ortinski, & Heath D. Schmidt. (2017). Activation of glucagon‐like peptide‐1 receptors in the nucleus accumbens attenuates cocaine seeking in rats. Addiction Biology. 24(2). 170–181. 60 indexed citations
11.
12.
Hernandez, Nicole S., et al.. (2016). Effects of LY466195, a selective kainate receptor antagonist, on ethanol preference and drinking in rats. Neuroscience Letters. 639. 8–12. 8 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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2026