Author

Erik Riedel

Technical University of Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Approach:experimental assay· 2 Organism:Arabidopsis· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:mouse· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Chien‐Yun LeeiD· 3 shared Sophia LaposchaniD· 3 shared Mathias WilhelmiD· 2 shared Rebecca Meelker GonzáleziD· 2 shared Wassim GabrieliD· 2 shared Andrew FlatleyiD· 1 shared Anna Fürst· 1 shared Bernhard KüsteriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersMolecular Biology

Chien‐Yun LeeORCID

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3 papers

Recent·Most cited

Molecular BiologyCell Reports MethodsPeer-reviewedMar 27, 2026

Development of Motif-Specific Monoclonal Antibodies for Global Protein Citrullination Detection with Minimal Cross-Reactivity to Homocitrullination

Sophia Laposchan, Erik Riedel, Andrew Flatley…·Chien‐Yun Lee

This paper develops monoclonal antibodies specific for citrullination, showing high sensitivity and minimal cross-reactivity with homocitrullination.

DOI 10.1016/j.crmeth.2026.101345

humanproteomics

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BiochemistryNature CommunicationsPeer-reviewedFeb 21, 2026

High-throughput chemical proteomics workflow for profiling protein citrullination dynamics

Rebecca Meelker González, Sophia Laposchan, Erik Riedel…·Chien‐Yun Lee

The paper develops a chemical proteomics workflow to profile protein citrullination dynamics, achieving high sensitivity and throughput in detecting citrullinated peptides across biological systems.

7 citationstop 2%

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BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedFeb 5, 2025

Deep Learning Enhances Precision of Citrullination Identification in Human and Plant Tissue Proteomes

Wassim Gabriel, Rebecca Meelker González, Sophia Laposchan…·Chien‐Yun Lee

The paper introduces a deep learning model to improve citrullination site identification in proteomes, achieving high precision and sensitivity in human and plant tissues.

11 citations

humanArabidopsis

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