Dorit Möhrle

479 total citations
14 papers, 327 citations indexed

About

Dorit Möhrle is a scholar working on Cognitive Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Dorit Möhrle has authored 14 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Sensory Systems and 4 papers in Nutrition and Dietetics. Recurrent topics in Dorit Möhrle's work include Hearing, Cochlea, Tinnitus, Genetics (8 papers), Autism Spectrum Disorder Research (7 papers) and Hearing Loss and Rehabilitation (6 papers). Dorit Möhrle is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (8 papers), Autism Spectrum Disorder Research (7 papers) and Hearing Loss and Rehabilitation (6 papers). Dorit Möhrle collaborates with scholars based in Canada, Germany and China. Dorit Möhrle's co-authors include Marlies Knipper, Lukas Rüttiger, Susanne Schmid, Dan Bing, Kun Ni, Brian L. Allman, Ulrike Zimmermann, Sze Chim Lee, Marta Fernández and Andreas Frick and has published in prestigious journals such as Neuroscience, Neuroscience & Biobehavioral Reviews and Molecular Pharmacology.

In The Last Decade

Dorit Möhrle

13 papers receiving 326 citations

Peers

Dorit Möhrle
Dorit Möhrle
Citations per year, relative to Dorit Möhrle Dorit Möhrle (= 1×) peers Ashley L. Schormans

Countries citing papers authored by Dorit Möhrle

Since Specialization
Citations

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

Fields of papers citing papers by Dorit Möhrle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorit Möhrle

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

All Works

14 of 14 papers shown
1.
Allman, Brian L., et al.. (2025). Postnatal environment affects auditory development and sensorimotor gating in a rat model for autism spectrum disorder. Frontiers in Neuroscience. 19. 1565919–1565919.
2.
Möhrle, Dorit, Kartikeya Murari, Jong M. Rho, & Ning Cheng. (2024). Vocal communication in asocial BTBR mice is more malleable by a ketogenic diet in juveniles than adults. Neuroscience. 561. 43–64. 2 indexed citations
3.
Allman, Brian L., et al.. (2024). Not a Deficit, Just Different: Prepulse Inhibition Disruptions in Autism Depend on Startle Stimulus Intensities. eNeuro. 11(9). ENEURO.0179–24.2024. 1 indexed citations
4.
Möhrle, Dorit, et al.. (2023). Assessing the Cntnap2 knockout rat prepulse inhibition deficit through prepulse scaling of the baseline startle response curve. Translational Psychiatry. 13(1). 321–321. 6 indexed citations
5.
Möhrle, Dorit, et al.. (2023). Characterizing maternal isolation‐induced ultrasonic vocalizations in a gene–environment interaction rat model for autism. Genes Brain & Behavior. 22(3). e12841–e12841. 8 indexed citations
6.
Möhrle, Dorit, Wenxuan Wang, Shawn N. Whitehead, & Susanne Schmid. (2021). GABAB Receptor Agonist R-Baclofen Reverses Altered Auditory Reactivity and Filtering in the Cntnap2 Knock-Out Rat. Frontiers in Integrative Neuroscience. 15. 710593–710593. 20 indexed citations
7.
Möhrle, Dorit, Robert Feil, Jutta Engel, et al.. (2020). Guanylyl Cyclase A/cGMP Signaling Slows Hidden, Age- and Acoustic Trauma-Induced Hearing Loss. Frontiers in Aging Neuroscience. 12. 83–83. 10 indexed citations
9.
Kazazian, Karnig, et al.. (2020). Loss of Cntnap2 in the Rat Causes Autism‐Related Alterations in Social Interactions, Stereotypic Behavior, and Sensory Processing. Autism Research. 13(10). 1698–1717. 43 indexed citations
10.
Möhrle, Dorit, Marta Fernández, Olga Peñagarikano, et al.. (2019). What we can learn from a genetic rodent model about autism. Neuroscience & Biobehavioral Reviews. 109. 29–53. 47 indexed citations
11.
Möhrle, Dorit, Stephan Wolpert, Kun Ni, et al.. (2018). Enhanced Central Neural Gain Compensates Acoustic Trauma-induced Cochlear Impairment, but Unlikely Correlates with Tinnitus and Hyperacusis. Neuroscience. 407. 146–169. 47 indexed citations
12.
Möhrle, Dorit, Hannes Schmidt, Michael Krämer, et al.. (2018). GC-B Deficient Mice With Axon Bifurcation Loss Exhibit Compromised Auditory Processing. Frontiers in Neural Circuits. 12. 65–65. 14 indexed citations
13.
Möhrle, Dorit, Evanthia Mergia, Nicole Eichert, et al.. (2017). NO-Sensitive Guanylate Cyclase Isoforms NO-GC1 and NO-GC2 Contribute to Noise-Induced Inner Hair Cell Synaptopathy. Molecular Pharmacology. 92(4). 375–388. 23 indexed citations
14.
Möhrle, Dorit, Kun Ni, Dan Bing, et al.. (2016). Loss of auditory sensitivity from inner hair cell synaptopathy can be centrally compensated in the young but not old brain. Neurobiology of Aging. 44. 173–184. 97 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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