Gemma Huguet

830 total citations
33 papers, 656 citations indexed

About

Gemma Huguet is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology. According to data from OpenAlex, Gemma Huguet has authored 33 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Neurology and 8 papers in Neurology. Recurrent topics in Gemma Huguet's work include Neuroscience and Neuropharmacology Research (9 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Neurological disorders and treatments (7 papers). Gemma Huguet is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Neurological disorders and treatments (7 papers). Gemma Huguet collaborates with scholars based in Spain, Netherlands and Puerto Rico. Gemma Huguet's co-authors include Marisa Molinas, Elisabet Kádár, Pilar Segura-Torres, Laura Aldavert-Vera, Ignacio Morgado-Bernal, Yasin Temel, Lee Wei Lim, Marçal Soler, Silvia Fluch and Mercè Figueras and has published in prestigious journals such as PLANT PHYSIOLOGY, Stroke and Brain Research.

In The Last Decade

Gemma Huguet

32 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Huguet Spain 15 191 190 154 128 111 33 656
Dariusz Orłowski Denmark 17 234 1.2× 97 0.5× 127 0.8× 153 1.2× 87 0.8× 45 743
Jun Kim South Korea 18 287 1.5× 103 0.5× 519 3.4× 52 0.4× 66 0.6× 63 951
R Brus Poland 16 308 1.6× 144 0.8× 159 1.0× 137 1.1× 52 0.5× 97 806
Belmira Lara da Silveira Andrade‐da‐Costa Brazil 17 177 0.9× 45 0.2× 285 1.9× 59 0.5× 70 0.6× 37 699
Karl F. Jensen United States 17 300 1.6× 78 0.4× 156 1.0× 59 0.5× 210 1.9× 35 944
Minzheng Wang United States 10 346 1.8× 74 0.4× 164 1.1× 314 2.5× 38 0.3× 10 703
J. W. Shek United States 11 169 0.9× 224 1.2× 89 0.6× 48 0.4× 72 0.6× 17 594
Raymond A.P. Vanwersch Netherlands 16 197 1.0× 120 0.6× 54 0.4× 169 1.3× 171 1.5× 29 561
Talise E. Müller Brazil 20 154 0.8× 87 0.5× 156 1.0× 28 0.2× 61 0.5× 40 848

Countries citing papers authored by Gemma Huguet

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Huguet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Huguet

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Huguet. A scholar is included among the top collaborators of Gemma Huguet 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 Gemma Huguet. Gemma Huguet 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.
Aldavert-Vera, Laura, et al.. (2024). Intracranial self-stimulation reverses impaired spatial learning and regulates serum microRNA levels in a streptozotocin-induced rat model of Alzheimer disease. Journal of Psychiatry and Neuroscience. 49(2). E96–E108. 3 indexed citations
2.
Huguet, Gemma, José C. E. Serrano, Meritxell Martin‐Garí, et al.. (2023). Hippocampal neurogenesis and Arc expression are enhanced in high-fat fed prepubertal female pigs by a diet including omega-3 fatty acids and Bifidobacterium breve CECT8242. European Journal of Nutrition. 62(6). 2463–2473. 6 indexed citations
3.
Gubern, Carme, Gemma Huguet, Isaac García‐Yébenes, et al.. (2022). Cav-1 Protein Levels in Serum and Infarcted Brain Correlate with Hemorrhagic Volume in a Mouse Model of Thromboembolic Stroke, Independently of rt-PA Administration. Molecular Neurobiology. 59(2). 1320–1332. 9 indexed citations
4.
Aldavert-Vera, Laura, et al.. (2022). Protocol to assess rewarding brain stimulation as a learning and memory modulating treatment: Comparison between self-administration and experimenter-administration. Frontiers in Behavioral Neuroscience. 16. 1046259–1046259. 1 indexed citations
5.
Gubern, Carme, et al.. (2020). Intracranial Self-Stimulation Modulates Levels of SIRT1 Protein and Neural Plasticity-Related microRNAs. Molecular Neurobiology. 57(6). 2551–2562. 15 indexed citations
6.
Aldavert-Vera, Laura, et al.. (2020). Orexin-1 receptor blockade differentially affects spatial and visual discrimination memory facilitation by intracranial self-stimulation. Neurobiology of Learning and Memory. 169. 107188–107188. 9 indexed citations
7.
Gubern, Carme, Gemma Huguet, Juan M. Sánchez, et al.. (2020). Evaluation of long-term rt-PA effects on bEnd.3 endothelial cells under ischemic conditions; changes in ZO-1 expression and glycosylation of the bradykinin B2 receptor. Thrombosis Research. 187. 1–8. 4 indexed citations
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Kádár, Elisabet, et al.. (2016). Increase in c-Fos and Arc protein in retrosplenial cortex after memory-improving lateral hypothalamic electrical stimulation treatment. Neurobiology of Learning and Memory. 128. 117–124. 10 indexed citations
12.
Kádár, Elisabet, et al.. (2014). Rewarding brain stimulation reverses the disruptive effect of amygdala damage on emotional learning. Behavioural Brain Research. 274. 43–52. 12 indexed citations
13.
Aldavert-Vera, Laura, Gemma Huguet, David Costa‐Miserachs, et al.. (2013). Intracranial self-stimulation facilitates active-avoidance retention and induces expression of c-Fos and Nurr1 in rat brain memory systems. Behavioural Brain Research. 250. 46–57. 27 indexed citations
14.
Kádár, Elisabet, Laura Aldavert-Vera, Gemma Huguet, et al.. (2010). Intracranial self-stimulation induces expression of learning and memory-related genes in rat amygdala. Genes Brain & Behavior. 10(1). 69–77. 19 indexed citations
15.
Huguet, Gemma, Laura Aldavert-Vera, Elisabet Kádár, et al.. (2009). Intracranial self-stimulation to the lateral hypothalamus, a memory improving treatment, results in hippocampal changes in gene expression. Neuroscience. 162(2). 359–374. 41 indexed citations
16.
Domènech-Casal, Jordi, Gisela Mir Arnau, Gemma Huguet, et al.. (2005). Plant metallothionein domains: functional insight into physiological metal binding and protein folding. Biochimie. 88(6). 583–593. 70 indexed citations
17.
Huguet, Gemma, et al.. (1999). Wound Healing after Silver Nitrate Burns in the LeechHirudo medicinalis. Journal of Invertebrate Pathology. 73(1). 15–24. 2 indexed citations
18.
Huguet, Gemma & Marisa Molinas. (1996). Myofibroblast-like cells and wound contraction in leech wound healing. Journal of Experimental Zoology. 275(4). 308–316. 20 indexed citations
19.
Molinas, Marisa & Gemma Huguet. (1993). Ultrastructure and cytochemistry of secretory cells in the skin of the leech, Dina lineata. Journal of Morphology. 216(3). 295–304. 6 indexed citations
20.
Huguet, Gemma & Marisa Molinas. (1992). Changes in epithelial cells in Hirudo medicinalis during wound healing. Journal of Invertebrate Pathology. 59(1). 11–17. 10 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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