Maria‐Clemencia Hernandez

2.5k total citations · 1 hit paper
34 papers, 2.0k citations indexed

About

Maria‐Clemencia Hernandez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maria‐Clemencia Hernandez has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maria‐Clemencia Hernandez's work include Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (8 papers) and Down syndrome and intellectual disability research (5 papers). Maria‐Clemencia Hernandez is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (8 papers) and Down syndrome and intellectual disability research (5 papers). Maria‐Clemencia Hernandez collaborates with scholars based in Switzerland, United States and Spain. Maria‐Clemencia Hernandez's co-authors include Jean‐Marc Matter, Marc Ballivet, Daniel Bertrand, S. Couturier, Sonia Bertrand, Soledad Valera, Neil S. Millar, THOMAS BARKAS, Mark A. Israel and Frédéric Knoflach and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Maria‐Clemencia Hernandez

34 papers receiving 2.0k citations

Hit Papers

A neuronal nicotinic acetylcholine receptor subunit (α7) ... 1990 2026 2002 2014 1990 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A neuronal nicotinic acetylcholine receptor subunit (α7) is developmentally regulated and forms a homo-oligomeric channel blocked by α-BTX
    1990 806 citations Daniel Bertrand, Maria‐Clemencia Hernandez et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria‐Clemencia Hernandez Switzerland 21 1.5k 678 219 213 200 34 2.0k
James E. Garrett United States 30 2.1k 1.4× 559 0.8× 58 0.3× 243 1.1× 146 0.7× 51 3.1k
John Marshall United States 28 1.8k 1.2× 1.3k 1.9× 169 0.8× 286 1.3× 139 0.7× 44 2.9k
Amy W. Lasek United States 28 812 0.6× 833 1.2× 163 0.7× 188 0.9× 72 0.4× 69 1.9k
Takeshi Shimahara France 22 620 0.4× 668 1.0× 149 0.7× 72 0.3× 89 0.4× 60 1.2k
Barbara J. Morley United States 28 1.3k 0.9× 813 1.2× 300 1.4× 128 0.6× 119 0.6× 76 2.2k
Xin‐Ran Zhu Germany 17 862 0.6× 748 1.1× 90 0.4× 198 0.9× 42 0.2× 27 1.6k
Milena Moretti Italy 33 3.5k 2.4× 1.7k 2.5× 168 0.8× 94 0.4× 530 2.6× 69 4.1k
Cristina Guatimosim Brazil 23 1.2k 0.9× 946 1.4× 88 0.4× 155 0.7× 96 0.5× 69 1.9k
Federico Dajas‐Bailador United Kingdom 19 1.5k 1.0× 730 1.1× 78 0.4× 69 0.3× 274 1.4× 35 2.0k
Mark W. Nowak United States 18 1.2k 0.8× 474 0.7× 32 0.1× 115 0.5× 106 0.5× 28 1.6k

Countries citing papers authored by Maria‐Clemencia Hernandez

Since Specialization
Citations

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

Fields of papers citing papers by Maria‐Clemencia Hernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria‐Clemencia 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 Maria‐Clemencia Hernandez. The network helps show where Maria‐Clemencia Hernandez may publish in the future.

Co-authorship network of co-authors of Maria‐Clemencia Hernandez

This figure shows the co-authorship network connecting the top 25 collaborators of Maria‐Clemencia Hernandez. A scholar is included among the top collaborators of Maria‐Clemencia 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 Maria‐Clemencia Hernandez. Maria‐Clemencia Hernandez 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.
Kasaragod, Vikram Babu, Tomas Malinauskas, Judith A. Lengyel, et al.. (2023). The molecular basis of drug selectivity for α5 subunit-containing GABAA receptors. Nature Structural & Molecular Biology. 30(12). 1936–1946. 6 indexed citations
2.
Hipp, Joerg F., Frédéric Knoflach, Robert A. Comley, et al.. (2021). Basmisanil, a highly selective GABAA-α5 negative allosteric modulator: preclinical pharmacology and demonstration of functional target engagement in man. Scientific Reports. 11(1). 7700–7700. 24 indexed citations
3.
Frohlich, Joel, Meghan T. Miller, Lynne M. Bird, et al.. (2019). Electrophysiological Phenotype in Angelman Syndrome Differs Between Genotypes. Biological Psychiatry. 85(9). 752–759. 58 indexed citations
4.
Schulz, Jan M., Frédéric Knoflach, Maria‐Clemencia Hernandez, & Josef Bischofberger. (2019). Enhanced Dendritic Inhibition and Impaired NMDAR Activation in a Mouse Model of Down Syndrome. Journal of Neuroscience. 39(26). 5210–5221. 27 indexed citations
5.
Knoflach, Frédéric, Maria‐Clemencia Hernandez, & Daniel Bertrand. (2018). Methods for the Discovery of Novel Compounds Modulating a Gamma-Aminobutyric Acid Receptor Type A Neurotransmission. Journal of Visualized Experiments. 5 indexed citations
6.
Schulz, Jan M., Frédéric Knoflach, Maria‐Clemencia Hernandez, & Josef Bischofberger. (2018). Dendrite-targeting interneurons control synaptic NMDA-receptor activation via nonlinear α5-GABAA receptors. Nature Communications. 9(1). 3576–3576. 85 indexed citations
7.
Ahmed, Md. Mahiuddin, et al.. (2017). The GABA A α5-selective Modulator, RO4938581, Rescues Protein Anomalies in the Ts65Dn Mouse Model of Down Syndrome. Neuroscience. 372. 192–212. 8 indexed citations
8.
Hart, Sarah J., Jeannie Visootsak, Nicole Baumer, et al.. (2017). Pharmacological interventions to improve cognition and adaptive functioning in Down syndrome: Strides to date. American Journal of Medical Genetics Part A. 173(11). 3029–3041. 30 indexed citations
9.
Bolognani, Federico, Lisa Squassante, Xavier Liogier D’ardhuy, et al.. (2015). RG1662, a Selective GABAA α5 Receptor Negative Allosteric Modulator, Increases Gamma Power in Young Adults with Down Syndrome. (P6.273). Neurology. 84(14_supplement). 5 indexed citations
10.
Martínez‐Cué, Carmen, Paula Martínez, Noemı́ Rueda, et al.. (2013). Reducing GABA A α5 Receptor-Mediated Inhibition Rescues Functional and Neuromorphological Deficits in a Mouse Model of Down Syndrome. Journal of Neuroscience. 33(9). 3953–3966. 122 indexed citations
11.
Buettelmann, Bernd, Theresa M. Ballard, Rodolfo Gasser, et al.. (2009). Imidazo[1,5-a][1,2,4]-triazolo[1,5-d][1,4]benzodiazepines as potent and highly selective GABAA α5 inverse agonists with potential for the treatment of cognitive dysfunction. Bioorganic & Medicinal Chemistry Letters. 19(20). 5958–5961. 14 indexed citations
12.
Knust, Henner, Theresa M. Ballard, Bernd Buettelmann, et al.. (2009). The discovery and unique pharmacological profile of RO4938581 and RO4882224 as potent and selective GABAA α5 inverse agonists for the treatment of cognitive dysfunction. Bioorganic & Medicinal Chemistry Letters. 19(20). 5940–5944. 55 indexed citations
13.
Ballard, Theresa M., Frédéric Knoflach, Eric Prinssen, et al.. (2008). RO4938581, a novel cognitive enhancer acting at GABAA α5 subunit-containing receptors. Psychopharmacology. 202(1-3). 207–223. 129 indexed citations
14.
Andrés-Barquin, Pedro J., Maria‐Clemencia Hernandez, & Mark A. Israel. (1999). Id4 Expression Induces Apoptosis in Astrocytic Cultures and Is Down-regulated by Activation of the cAMP-Dependent Signal Transduction Pathway. Experimental Cell Research. 247(2). 347–355. 42 indexed citations
15.
Hernandez, Maria‐Clemencia, et al.. (1998). Cloning of HumanENC-1and Evaluation of Its Expression and Regulation in Nervous System Tumors. Experimental Cell Research. 242(2). 470–477. 36 indexed citations
16.
Florio, Monica, Maria‐Clemencia Hernandez, Hui Yang, et al.. (1998). Id2 Promotes Apoptosis by a Novel Mechanism Independent of Dimerization to Basic Helix-Loop-Helix Factors. Molecular and Cellular Biology. 18(9). 5435–5444. 100 indexed citations
17.
Mantani, Akio, Maria‐Clemencia Hernandez, Wen-Lin Kuo, & Mark A. Israel. (1998). The mouse Id2 and Id4 genes: structural organization and chromosomal localization. Gene. 222(2). 229–235. 9 indexed citations
18.
Andrés-Barquin, Pedro J., Maria‐Clemencia Hernandez, & Mark A. Israel. (1998). Injury selectively down-regulates the gene encoding for the Id4 transcription factor in primary cultures of forebrain astrocytes. Neuroreport. 9(18). 4075–4080. 6 indexed citations
19.
Hernandez, Maria‐Clemencia, Pedro J. Andrés-Barquin, & Mark A. Israel. (1996). Molecular cloning of the cDNA encoding a helix-loop-helix protein, mouse ID1B: tissue-specific expression of ID1A and ID1B genes. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1308(1). 28–30. 12 indexed citations
20.
Zhu, Weijia, Alessandro Bulfone, Muriel Rigolet, et al.. (1995). Id gene expression during development and molecular cloning of the human Id-1 gene. Molecular Brain Research. 30(2). 312–326. 43 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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