Christopher Schröder

1.9k citations
17 papers · 198 · h-index 8

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Molecular Biology Techniques and Applications 2
    • Genomics and Phylogenetic Studies 2
    • Genetics and Neurodevelopmental Disorders 1

Christopher Schröder

16 papers receiving 195 citations

Peers

Christopher Schröder
Comparison fields: 5 of 68
  • Reproductive Medicine 20
  • Aging 4
  • Cellular and Molecular Neuroscience 32
  • Neurology 12
  • Molecular Biology 96
Replace Giovanni A. Carosso with:
Giovanni A. Carosso United States
Ximena Corso‐Díaz United States
Seyoung Yu South Korea
Erika Della Mina Italy
Lina Lu China
Jana Key Germany
Mingmin Zhang China
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Citations per field
00.5×1.5×
Giovanni A. Carosso · 1×
Citations per year

Countries citing papers authored by Christopher Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Schröder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Schröder Line = papers co-authored together Christopher Schröder links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201247
2 202042
3 201722
4 201720
5 202017
6 201412
7 20248
8 20227
9 20245
10 20244
11 20194
12 20164
13 20212
14 20152
15 20221
16 20151
17 20150

About Christopher Schröder

Christopher Schröder is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Artificial Intelligence and Cell Biology, having authored 17 papers that have together received 198 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer Genomics and Diagnostics (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), interferon and immune responses (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), Bayesian Methods and Mixture Models (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Reproductive Medicine (20 citations), Aging (4 citations), Cellular and Molecular Neuroscience (32 citations), Neurology (12 citations) and Molecular Biology (96 citations). Christopher Schröder has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Sven Rahmann, Bernhard Horsthemke, Elsa Leitão, Sandra Laurentino, Tally Lerman‐Sagie, Olaf Rieß, Esther Leshinsky‐Silver, Nina Schlipf, Peter Bauer and Lüdger Schöls. Their work appears in journals such as Bioinformatics, Cytogenetic and Genome Research, Algorithms for Molecular Biology, Aging Cell and Neurogenetics.

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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