Cornelius Schröder

434 total citations
10 papers, 148 citations indexed

About

Cornelius Schröder is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Cornelius Schröder has authored 10 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Cornelius Schröder's work include Photoreceptor and optogenetics research (3 papers), Retinal Development and Disorders (3 papers) and Neural dynamics and brain function (1 paper). Cornelius Schröder is often cited by papers focused on Photoreceptor and optogenetics research (3 papers), Retinal Development and Disorders (3 papers) and Neural dynamics and brain function (1 paper). Cornelius Schröder collaborates with scholars based in Germany, United Kingdom and Belgium. Cornelius Schröder's co-authors include Philipp Berens, Takeshi Yoshimatsu, Tom Baden, Noora Emilia Nevala, Filip Janiak, Philipp Bartel, François St-Pierre, Robert G. Smith, Günther Zeck and Thomas Euler and has published in prestigious journals such as Neuron, PLoS ONE and Nature Methods.

In The Last Decade

Cornelius Schröder

6 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelius Schröder Germany 5 98 73 42 36 16 10 148
Ala Morshedian United States 9 228 2.3× 174 2.4× 22 0.5× 24 0.7× 20 1.3× 10 294
Sébastien Wolf France 7 32 0.3× 52 0.7× 70 1.7× 80 2.2× 14 0.9× 9 171
Nihar Bhattacharyya Canada 10 189 1.9× 161 2.2× 16 0.4× 29 0.8× 19 1.2× 15 317
Krisha Aghi United States 6 106 1.1× 138 1.9× 37 0.9× 10 0.3× 2 0.1× 10 227
M. Walker United States 9 147 1.5× 156 2.1× 16 0.4× 16 0.4× 3 0.2× 16 362
D. Bagger-Sj�b�ck Sweden 12 110 1.1× 57 0.8× 36 0.9× 29 0.8× 7 0.4× 19 342
Philippe Jean Germany 7 97 1.0× 64 0.9× 89 2.1× 31 0.9× 1 0.1× 7 261
Alexandre Parrin France 2 36 0.4× 27 0.4× 36 0.9× 45 1.3× 4 0.3× 2 128
Klaudia P. Szatko Germany 5 123 1.3× 112 1.5× 98 2.3× 14 0.4× 5 0.3× 6 192
Szi-chieh Yu Germany 7 63 0.6× 109 1.5× 34 0.8× 13 0.4× 8 191

Countries citing papers authored by Cornelius Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Cornelius Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelius Schröder

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

All Works

10 of 10 papers shown
2.
Schröder, Cornelius, Víctor Martínez-Vicente, Antoine Collin, et al.. (2025). Simulation-based inference advances water quality mapping in shallow coral reef environments. Royal Society Open Science. 12(5). 241471–241471.
3.
Deistler, Michael, James F. Beck, Ziwei Huang, et al.. (2025). Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics. Nature Methods. 22(12). 2649–2657.
4.
Deistler, Michael, Cornelius Schröder, Theodore Kypraios, et al.. (2025). Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes. Medical Image Analysis. 103. 103580–103580.
5.
Schröder, Cornelius, et al.. (2023). “How is your thesis going?”–Ph.D. students’ perspectives on mental health and stress in academia. PLoS ONE. 18(7). e0288103–e0288103. 10 indexed citations
6.
Schröder, Cornelius, et al.. (2021). Distinct synaptic transfer functions in same-type photoreceptors. eLife. 10. 7 indexed citations
7.
Yoshimatsu, Takeshi, Philipp Bartel, Cornelius Schröder, et al.. (2021). Ancestral circuits for vertebrate color vision emerge at the first retinal synapse. Science Advances. 7(42). eabj6815–eabj6815. 26 indexed citations
8.
Behrens, Christian, Cornelius Schröder, Thomas Euler, et al.. (2020). Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics. eLife. 9. 17 indexed citations
9.
Yoshimatsu, Takeshi, Cornelius Schröder, Noora Emilia Nevala, Philipp Berens, & Tom Baden. (2020). Fovea-like Photoreceptor Specializations Underlie Single UV Cone Driven Prey-Capture Behavior in Zebrafish. Neuron. 107(2). 320–337.e6. 87 indexed citations
10.
Schröder, Cornelius, Alix Günther, Werner Seeger, & Wolfgang Voelter. (1997). Synthesis and studies on the biophysical activity of human lung surfactant peptide SP-C and its N-terminal fragments.. PubMed. 1(1). 13–6. 1 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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