Natalia Gass

1.3k total citations
30 papers, 699 citations indexed

About

Natalia Gass is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Natalia Gass has authored 30 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Natalia Gass's work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (8 papers) and Advanced MRI Techniques and Applications (6 papers). Natalia Gass is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (8 papers) and Advanced MRI Techniques and Applications (6 papers). Natalia Gass collaborates with scholars based in Germany, United States and Switzerland. Natalia Gass's co-authors include Alexander Sartorius, Wolfgang Weber‐Fahr, Andreas Meyer‐Lindenberg, Adam J. Schwarz, Céline Risterucci, Esther Schenker, Michael Spedding, Lei Zheng, Robert E. Becker and Carolin Hoyer and has published in prestigious journals such as NeuroImage, Biological Psychiatry and International Journal of Molecular Sciences.

In The Last Decade

Natalia Gass

30 papers receiving 694 citations

Peers

Natalia Gass

CMN

PHARM

RNMI

Malte S. Depping Germany

Aybala Sarıçiçek Türkiye

Çağdaş Eker Türkiye

Gregor Gryglewski Austria

Çağrı Yüksel United States

Yousha Mirza United States

Jodi J. Weinstein United States

Anna Walter Switzerland

Rawle Carter Canada

Masahito Nakataki Japan

Malte S. Depping Germany

Natalia Gass

422 ×1.2

205 ×0.9

CMN

148 ×1.0

PHARM

161 ×1.1

RNMI

81 ×0.6

Citations per year, relative to Natalia Gass Natalia Gass (= 1×) peers Malte S. Depping

Countries citing papers authored by Natalia Gass

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Gass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Gass

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Gass. A scholar is included among the top collaborators of Natalia Gass 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 Natalia Gass. Natalia Gass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gass, Natalia. (2023). The beauty of reading for pleasure. Nature Mental Health. 1(8). 529–529. 1 indexed citations

Gass, Natalia. (2023). Association between ADHD medication history and stimulant misuse in adolescents. Nature Mental Health. 1(5). 301–301. 1 indexed citations

Reinwald, Jonathan, Natalia Gass, Anne Stephanie Mallien, et al.. (2022). Dopamine transporter silencing in the rat: systems-level alterations in striato-cerebellar and prefrontal-midbrain circuits. Molecular Psychiatry. 27(4). 2329–2339. 21 indexed citations

Reinwald, Jonathan, Wolfgang Weber‐Fahr, Alejandro Cosa‐Linan, et al.. (2022). TRIAC Treatment Improves Impaired Brain Network Function and White Matter Loss in Thyroid Hormone Transporter Mct8/Oatp1c1 Deficient Mice. International Journal of Molecular Sciences. 23(24). 15547–15547. 13 indexed citations

Gass, Natalia, Jonathan Reinwald, Alexander Sartorius, et al.. (2021). Differential resting-state patterns across networks are spatially associated with Comt and Trmt2a gene expression patterns in a mouse model of 22q11.2 deletion. NeuroImage. 243. 118520–118520. 4 indexed citations

Reinwald, Jonathan, Alexander Sartorius, Wolfgang Weber‐Fahr, et al.. (2020). Separable neural mechanisms for the pleiotropic association of copy number variants with neuropsychiatric traits. Translational Psychiatry. 10(1). 93–93. 11 indexed citations

Sack, Markus, Lei Zheng, Natalia Gass, et al.. (2020). Interactive tool to create adjustable anatomical atlases for mouse brain imaging. Magnetic Resonance Materials in Physics Biology and Medicine. 34(2). 183–187. 2 indexed citations

Becker, Robert E., Natalia Gass, Lothar Kußmaul, et al.. (2019). NMDA receptor antagonists traxoprodil and lanicemine improve hippocampal-prefrontal coupling and reward-related networks in rats. Psychopharmacology. 236(12). 3451–3463. 8 indexed citations

Hohenberg, Christian Clemm von, Wolfgang Weber‐Fahr, N. Ravi, et al.. (2018). Lateral habenula perturbation reduces default-mode network connectivity in a rat model of depression. Translational Psychiatry. 8(1). 68–68. 29 indexed citations

10.

Gass, Natalia, Robert E. Becker, Markus Sack, et al.. (2018). Antagonism at the NR2B subunit of NMDA receptors induces increased connectivity of the prefrontal and subcortical regions regulating reward behavior. Psychopharmacology. 235(4). 1055–1068. 22 indexed citations

11.

Gass, Natalia, Robert E. Becker, Adam J. Schwarz, et al.. (2016). Brain network reorganization differs in response to stress in rats genetically predisposed to depression and stress-resilient rats. Translational Psychiatry. 6(12). e970–e970. 22 indexed citations

12.

Becker, Robert E., Urs Braun, Adam J. Schwarz, et al.. (2016). Species-conserved reconfigurations of brain network topology induced by ketamine. Translational Psychiatry. 6(4). e786–e786. 29 indexed citations

13.

Gass, Natalia, et al.. (2015). Reduced connectivity and inter-hemispheric symmetry of the sensory system in a rat model of vulnerability to developing depression. Neuroscience. 310. 742–750. 13 indexed citations

14.

Hoyer, Carolin, Natalia Gass, Wolfgang Weber‐Fahr, & Alexander Sartorius. (2014). Advantages and Challenges of Small Animal Magnetic Resonance Imaging as a Translational Tool. Neuropsychobiology. 69(4). 187–201. 67 indexed citations

15.

Schwarz, Adam J., Natalia Gass, Alexander Sartorius, et al.. (2013). Anti-Correlated Cortical Networks of Intrinsic Connectivity in the Rat Brain. Brain Connectivity. 3(5). 503–511. 45 indexed citations

16.

Gass, Natalia, Lei Zheng, Adam J. Schwarz, et al.. (2013). Functionally altered neurocircuits in a rat model of treatment-resistant depression show prominent role of the habenula. European Neuropsychopharmacology. 24(3). 381–390. 31 indexed citations

17.

Gass, Natalia, Adam J. Schwarz, Alexander Sartorius, et al.. (2013). Sub-Anesthetic Ketamine Modulates Intrinsic BOLD Connectivity Within the Hippocampal-Prefrontal Circuit in the Rat. Neuropsychopharmacology. 39(4). 895–906. 82 indexed citations

18.

Gass, Natalia, Adam J. Schwarz, Alexander Sartorius, et al.. (2012). Haloperidol modulates midbrain-prefrontal functional connectivity in the rat brain. European Neuropsychopharmacology. 23(10). 1310–1319. 31 indexed citations

19.

Gass, Natalia, et al.. (2010). Gene expression patterns in a rodent model for depression. European Journal of Neuroscience. 31(8). 1465–1473. 8 indexed citations

20.

Gass, Natalia, Tarja Porkka‐Heiskanen, & Anna V. Kalinchuk. (2009). The role of the basal forebrain adenosine receptors in sleep homeostasis. Neuroreport. 20(11). 1013–1018. 19 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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