Gesa Schaadt

843 total citations
35 papers, 535 citations indexed

About

Gesa Schaadt is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Gesa Schaadt has authored 35 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Developmental and Educational Psychology, 18 papers in Cognitive Neuroscience and 7 papers in Statistics and Probability. Recurrent topics in Gesa Schaadt's work include Reading and Literacy Development (22 papers), Neuroscience and Music Perception (11 papers) and Language Development and Disorders (10 papers). Gesa Schaadt is often cited by papers focused on Reading and Literacy Development (22 papers), Neuroscience and Music Perception (11 papers) and Language Development and Disorders (10 papers). Gesa Schaadt collaborates with scholars based in Germany, United States and United Kingdom. Gesa Schaadt's co-authors include Angela D. Friederici, Claudia Männel, Nicole E. Neef, Elke van der Meer, Michael A. Skeide, Jens Bräuer, Arndt Wilcke, Holger Kirsten, Johannes Boltze and V. Hesse and has published in prestigious journals such as NeuroImage, Brain and Child Development.

In The Last Decade

Gesa Schaadt

33 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gesa Schaadt Germany 14 353 287 144 59 54 35 535
Michael A. Skeide Germany 15 418 1.2× 438 1.5× 151 1.0× 50 0.8× 53 1.0× 28 660
Bonnie Jallad United States 8 422 1.2× 364 1.3× 194 1.3× 45 0.8× 34 0.6× 9 573
Marion Grande Germany 15 407 1.2× 495 1.7× 155 1.1× 71 1.2× 42 0.8× 38 630
Olumide A. Olulade United States 11 361 1.0× 465 1.6× 178 1.2× 57 1.0× 43 0.8× 16 605
Simone Rocha de Vasconcellos Hage Brazil 15 283 0.8× 165 0.6× 36 0.3× 34 0.6× 44 0.8× 48 482
Karen Gross-Glenn United States 10 460 1.3× 439 1.5× 218 1.5× 51 0.9× 39 0.7× 12 699
Sara Taylor United States 9 642 1.8× 244 0.9× 225 1.6× 55 0.9× 282 5.2× 15 838
Sara Mazzotti Italy 10 165 0.5× 179 0.6× 71 0.5× 13 0.2× 45 0.8× 13 349
Laura K. Halderman United States 12 190 0.5× 261 0.9× 37 0.3× 62 1.1× 81 1.5× 18 505
Jennifer Bruder Germany 14 562 1.6× 415 1.4× 271 1.9× 74 1.3× 170 3.1× 25 800

Countries citing papers authored by Gesa Schaadt

Since Specialization
Citations

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

Fields of papers citing papers by Gesa Schaadt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gesa Schaadt

This figure shows the co-authorship network connecting the top 25 collaborators of Gesa Schaadt. A scholar is included among the top collaborators of Gesa Schaadt 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 Gesa Schaadt. Gesa Schaadt 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.
2.
Männel, Claudia, et al.. (2022). Longitudinal trajectories of electrophysiological mismatch responses in infant speech discrimination differ across speech features. Developmental Cognitive Neuroscience. 56. 101127–101127. 9 indexed citations
3.
Qi, Ting, Gesa Schaadt, & Angela D. Friederici. (2021). Associated functional network development and language abilities in children. NeuroImage. 242. 118452–118452. 11 indexed citations
4.
Friederici, Angela D., Nicole E. Neef, Frank Emmrich, et al.. (2020). Auditory brainstem measures and genotyping boost the prediction of literacy: A longitudinal study on early markers of dyslexia. Developmental Cognitive Neuroscience. 46. 100869–100869. 6 indexed citations
5.
Schaadt, Gesa, et al.. (2020). Seven-year-olds recall non-adjacent dependencies after overnight retention. Neurobiology of Learning and Memory. 171. 107225–107225. 2 indexed citations
6.
Friederici, Angela D., Frank Emmrich, Jens Bräuer, et al.. (2019). Early cortical surface plasticity relates to basic mathematical learning. NeuroImage. 204. 116235–116235. 14 indexed citations
7.
Schaadt, Gesa & Claudia Männel. (2019). Phonemes, words, and phrases: Tracking phonological processing in pre-schoolers developing dyslexia. Clinical Neurophysiology. 130(8). 1329–1341. 17 indexed citations
8.
Schaadt, Gesa, Elke van der Meer, Ann Pannekamp, Regine Oberecker, & Claudia Männel. (2018). Children with dyslexia show a reduced processing benefit from bimodal speech information compared to their typically developing peers. Neuropsychologia. 126. 147–158. 7 indexed citations
9.
Müller, Bent, Gesa Schaadt, Johannes Boltze, et al.. (2017). ATP2C2andDYX1C1are putative modulators of dyslexia‐related MMR. Brain and Behavior. 7(11). e00851–e00851. 7 indexed citations
10.
Müller, Bent, Arndt Wilcke, Peter Ahnert, et al.. (2016). Association, characterisation and meta-analysis of SNPs linked to general reading ability in a German dyslexia case-control cohort. Scientific Reports. 6(1). 27901–27901. 11 indexed citations
11.
Kraft, Indra, Jan Schreiber, Gesa Schaadt, et al.. (2016). Predicting early signs of dyslexia at a preliterate age by combining behavioral assessment with structural MRI. NeuroImage. 143. 378–386. 39 indexed citations
12.
Neef, Nicole E., Gesa Schaadt, & Angela D. Friederici. (2016). Auditory brainstem responses to stop consonants predict literacy. Clinical Neurophysiology. 128(3). 484–494. 14 indexed citations
13.
Männel, Claudia, et al.. (2016). Phonological abilities in literacy-impaired children: Brain potentials reveal deficient phoneme discrimination, but intact prosodic processing. Developmental Cognitive Neuroscience. 23. 14–25. 24 indexed citations
14.
Skeide, Michael A., Indra Kraft, Bent Müller, et al.. (2016). NRSN1associated grey matter volume of the visual word form area reveals dyslexia before school. Brain. 139(10). 2792–2803. 36 indexed citations
15.
Skeide, Michael A., Holger Kirsten, Indra Kraft, et al.. (2015). Genetic dyslexia risk variant is related to neural connectivity patterns underlying phonological awareness in children. NeuroImage. 118. 414–421. 36 indexed citations
16.
Schaadt, Gesa, Claudia Männel, Elke van der Meer, et al.. (2015). Present and past: Can writing abilities in school children be associated with their auditory discrimination capacities in infancy?. Research in Developmental Disabilities. 47. 318–333. 36 indexed citations
17.
Meer, Elke van der, et al.. (2015). Event-related potentials in response to violations of content and temporal event knowledge. Neuropsychologia. 80. 47–55. 6 indexed citations
18.
Schaadt, Gesa, V. Hesse, & Angela D. Friederici. (2014). Sex hormones in early infancy seem to predict aspects of later language development. Brain and Language. 141. 70–76. 56 indexed citations
19.
Schaadt, Gesa, et al.. (2014). Semantic Priming of Progression Features in Events. Journal of Psycholinguistic Research. 44(2). 201–214. 3 indexed citations
20.
Landgraf, Steffen, Reinhard Beyer, Nancy R. Schneider, et al.. (2011). Impact of phonological processing skills on written language acquisition in illiterate adults. Developmental Cognitive Neuroscience. 2. S129–S138. 17 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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