Claudia Mattern

2.8k total citations
61 papers, 2.2k citations indexed

About

Claudia Mattern is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Claudia Mattern has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 11 papers in Behavioral Neuroscience. Recurrent topics in Claudia Mattern's work include Neuroscience and Neuropharmacology Research (18 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Stress Responses and Cortisol (11 papers). Claudia Mattern is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Stress Responses and Cortisol (11 papers). Claudia Mattern collaborates with scholars based in Germany, United States and France. Claudia Mattern's co-authors include Michaël Schumacher, J.P. Huston, Rachida Guennoun, Jean‐Paul Oudinet, Bianca Topic, Philippe Lière, Guillén Fernández, Robbert J. Verkes, Guido van Wingen and Jan K. Buitelaar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Claudia Mattern

61 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Mattern Germany 27 549 481 391 342 332 61 2.2k
Gábor Faludi Hungary 28 829 1.5× 762 1.6× 589 1.5× 126 0.4× 322 1.0× 87 2.7k
Xiao‐Ming Ou United States 27 823 1.5× 789 1.6× 299 0.8× 162 0.5× 184 0.6× 40 2.2k
Unga A. Unmehopa Netherlands 25 334 0.6× 385 0.8× 395 1.0× 471 1.4× 356 1.1× 56 2.2k
Mark E. Bardgett United States 26 1.1k 2.0× 691 1.4× 544 1.4× 173 0.5× 296 0.9× 68 3.2k
Angelika Erhardt Germany 26 384 0.7× 555 1.2× 481 1.2× 80 0.2× 306 0.9× 70 2.3k
Freddy Jeanneteau France 26 782 1.4× 579 1.2× 743 1.9× 170 0.5× 354 1.1× 47 2.3k
Andrea Gogos Australia 27 509 0.9× 325 0.7× 531 1.4× 395 1.2× 433 1.3× 68 2.0k
Jelena Djordjevic Serbia 29 318 0.6× 359 0.7× 431 1.1× 83 0.2× 253 0.8× 66 2.4k
Nina Dedic United States 22 810 1.5× 550 1.1× 502 1.3× 151 0.4× 281 0.8× 38 2.1k
Toshiya Funabashi Japan 31 639 1.2× 492 1.0× 527 1.3× 314 0.9× 611 1.8× 121 3.1k

Countries citing papers authored by Claudia Mattern

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Mattern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Mattern

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Mattern. A scholar is included among the top collaborators of Claudia Mattern 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 Claudia Mattern. Claudia Mattern 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.
Studzian, Maciej, et al.. (2024). Testosterone Inhibits Secretion of the Pro-Inflammatory Chemokine CXCL1 from Astrocytes. Current Issues in Molecular Biology. 46(3). 2105–2118. 2 indexed citations
2.
3.
Marie, Corentine, Lida Zoupi, Claudia Mattern, et al.. (2023). Androgens show sex-dependent differences in myelination in immune and non-immune murine models of CNS demyelination. Nature Communications. 14(1). 1592–1592. 18 indexed citations
4.
Mattern, Claudia, et al.. (2022). Mutation of Proteolipid Protein 1 Gene: From Severe Hypomyelinating Leukodystrophy to Inherited Spastic Paraplegia. Biomedicines. 10(7). 1709–1709. 13 indexed citations
5.
Mattern, Claudia, et al.. (2022). Dissolution Improvement of Progesterone and Testosterone via Impregnation on Mesoporous Silica Using Supercritical Carbon Dioxide. AAPS PharmSciTech. 23(8). 302–302. 4 indexed citations
6.
Leite‐Panissi, Christie Ramos Andrade, et al.. (2021). The activation of D2-like receptors by intranasal dopamine facilitates the extinction of contextual fear and prevents conditioned fear-induced antinociception. Behavioural Brain Research. 417. 113611–113611. 9 indexed citations
7.
Badorrek, Philipp, et al.. (2020). The Effect of a Thixotropic Nasal Gel on Nasal Symptoms and Inflammatory Biomarkers in Seasonal Allergic Rhinitis. International Archives of Allergy and Immunology. 181(5). 385–394. 6 indexed citations
8.
9.
Zhu, Xiaoyan, Magalie Fréchou, Philippe Lière, et al.. (2017). A Role of Endogenous Progesterone in Stroke Cerebroprotection Revealed by the Neural-Specific Deletion of Its Intracellular Receptors. Journal of Neuroscience. 37(45). 10998–11020. 57 indexed citations
10.
Nikolaus, Susanne, Markus Beu, Maria A. de Souza Silva, et al.. (2016). Relationship Between L-DOPA-Induced Reduction in Motor and Exploratory Activity and Striatal Dopamine D2 Receptor Binding in the Rat. Frontiers in Behavioral Neuroscience. 9. 352–352. 13 indexed citations
11.
Chao, Owen Y., Joseph P. Huston, Susanne Nikolaus, et al.. (2016). Promnestic effects of intranasally applied pregnenolone in rats. Neurobiology of Learning and Memory. 133. 185–195. 8 indexed citations
12.
Silva, Maria A. de Souza, Claudia Mattern, Joseph P. Huston, et al.. (2016). Intranasal Dopamine Reduces In Vivo [123I]FP-CIT Binding to Striatal Dopamine Transporter: Correlation with Behavioral Changes and Evidence for Pavlovian Conditioned Dopamine Response. Frontiers in Behavioral Neuroscience. 10. 80–80. 8 indexed citations
13.
Liu, Ailing, Isabelle Margaill, Shaodong Zhang, et al.. (2012). Progesterone Receptors: A Key for Neuroprotection in Experimental Stroke. Endocrinology. 153(8). 3747–3757. 103 indexed citations
14.
Ducharme, Nicole A., William A. Banks, John E. Morley, et al.. (2010). Brain distribution and behavioral effects of progesterone and pregnenolone after intranasal or intravenous administration. European Journal of Pharmacology. 641(2-3). 128–134. 44 indexed citations
15.
Mattern, Claudia, et al.. (2008). Dopaminergic and serotonergic activity in neostriatum and nucleus accumbens enhanced by intranasal administration of testosterone. European Neuropsychopharmacology. 19(1). 53–63. 98 indexed citations
16.
Topic, Bianca, et al.. (2008). Intranasal administration of progesterone increases dopaminergic activity in amygdala and neostriatum of male rats. Neuroscience. 157(1). 196–203. 27 indexed citations
17.
Buddenberg, Tim, et al.. (2008). Behavioral Actions of Intranasal Application of Dopamine: Effects on Forced Swimming, Elevated Plus-Maze and Open Field Parameters. Neuropsychobiology. 57(1-2). 70–79. 25 indexed citations
18.
19.
Tavares, Maria Clotilde Henriques, et al.. (2007). Effects of intra-nasally administered testosterone on sexual proceptive behavior in female capuchin monkeys (Cebus apella). Behavioural Brain Research. 179(1). 33–42. 10 indexed citations
20.

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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