Cedric Landerer

1.5k total citations
13 papers, 193 citations indexed

About

Cedric Landerer is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Cedric Landerer has authored 13 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Cedric Landerer's work include RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (4 papers) and RNA modifications and cancer (3 papers). Cedric Landerer is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (4 papers) and RNA modifications and cancer (3 papers). Cedric Landerer collaborates with scholars based in Germany, United States and Greece. Cedric Landerer's co-authors include Russell Zaretzki, Michael A. Gilchrist, Ágnes Tóth-Petróczy, Premal Shah, Wei-Chen Chen, Lena Hersemann, Florian Auer, Tobias Hamp, Burkhard Rost and Sarah Seifert and has published in prestigious journals such as Nature, Molecular Cell and Bioinformatics.

In The Last Decade

Cedric Landerer

12 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cedric Landerer Germany 8 157 31 12 11 10 13 193
Marina A. Pak Russia 3 139 0.9× 29 0.9× 7 0.6× 14 1.3× 7 0.7× 6 179
Alan Roter United States 7 93 0.6× 46 1.5× 11 0.9× 30 2.7× 7 0.7× 9 172
Charlotte H. Wang United States 2 115 0.7× 65 2.1× 19 1.6× 7 0.6× 5 0.5× 3 186
Chintan Joshi United States 10 256 1.6× 25 0.8× 12 1.0× 5 0.5× 2 0.2× 13 316
Candace S. Y. Chan United States 7 137 0.9× 14 0.5× 20 1.7× 4 0.4× 7 0.7× 16 171
Priyanka Dhingra India 8 158 1.0× 22 0.7× 11 0.9× 21 1.9× 11 1.1× 17 215
Francisco J. Guzmán‐Vega Saudi Arabia 8 88 0.6× 39 1.3× 5 0.4× 14 1.3× 4 0.4× 15 144
Chris Hart United States 4 177 1.1× 25 0.8× 15 1.3× 3 0.3× 3 0.3× 4 197
Jocelyn C. Newton United States 3 181 1.2× 18 0.6× 18 1.5× 10 0.9× 55 5.5× 4 222
Fernando A. Gonzales-Zubiate Brazil 10 244 1.6× 16 0.5× 9 0.8× 5 0.5× 22 2.2× 18 295

Countries citing papers authored by Cedric Landerer

Since Specialization
Citations

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

Fields of papers citing papers by Cedric Landerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cedric Landerer

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

All Works

13 of 13 papers shown
1.
Dowbaj, Anna M., Aleksandra Sljukic, Cedric Landerer, et al.. (2025). Mouse liver assembloids model periportal architecture and biliary fibrosis. Nature. 644(8076). 473–482. 8 indexed citations
2.
Landerer, Cedric, Maxim Scheremetjew, HongKee Moon, Lena Hersemann, & Ágnes Tóth-Petróczy. (2024). deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets. Bioinformatics. 40(7).
3.
Landerer, Cedric, et al.. (2024). Fitness Effects of Phenotypic Mutations at Proteome-Scale Reveal Optimality of Translation Machinery. Molecular Biology and Evolution. 41(3). 3 indexed citations
4.
Chow, Chi Fung Willis, Cedric Landerer, Rajat Ghosh, et al.. (2023). CD-CODE: crowdsourcing condensate database and encyclopedia. Nature Methods. 20(5). 673–676. 27 indexed citations
5.
Schuhmacher, Jan S., Susanne tom Dieck, Savvas Christoforidis, et al.. (2023). The Rab5 effector FERRY links early endosomes with mRNA localization. Molecular Cell. 83(11). 1839–1855.e13. 24 indexed citations
6.
Romero, Maria Luisa Romero, et al.. (2022). Phenotypic mutations contribute to protein diversity and shape protein evolution. Protein Science. 31(9). e4397–e4397. 8 indexed citations
7.
Schuhmacher, Jan S., Susanne tom Dieck, Savvas Christoforidis, et al.. (2021). The Novel Rab5 Effector FERRY Links Early Endosomes With the Translation Machinery. SSRN Electronic Journal. 7 indexed citations
8.
Landerer, Cedric, Brian C. O’Meara, Russell Zaretzki, & Michael A. Gilchrist. (2020). Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model. BMC Evolutionary Biology. 20(1). 109–109. 4 indexed citations
9.
Landerer, Cedric, et al.. (2018). AnaCoDa: analyzing codon data with Bayesian mixture models. Bioinformatics. 34(14). 2496–2498. 9 indexed citations
10.
Beaulieu, Jeremy M., et al.. (2018). Population Genetics Based Phylogenetics Under Stabilizing Selection for an Optimal Amino Acid Sequence: A Nested Modeling Approach. Molecular Biology and Evolution. 36(4). 834–851. 6 indexed citations
11.
Padula, Daniela, Ingo Burtscher, Cedric Landerer, et al.. (2016). Pitchfork and Gprasp2 Target Smoothened to the Primary Cilium for Hedgehog Pathway Activation. PLoS ONE. 11(2). e0149477–e0149477. 21 indexed citations
12.
Gilchrist, Michael A., Wei-Chen Chen, Premal Shah, Cedric Landerer, & Russell Zaretzki. (2015). Estimating Gene Expression and Codon-Specific Translational Efficiencies, Mutation Biases, and Selection Coefficients from Genomic Data Alone ‡. Genome Biology and Evolution. 7(6). 1559–1579. 25 indexed citations
13.
Hamp, Tobias, Stefan Seemayer, Esmeralda Vicedo, et al.. (2013). Homology-based inference sets the bar high for protein function prediction. BMC Bioinformatics. 14(S3). S7–S7. 51 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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2026