Cédric R. Weber

1.9k total citations
21 papers, 953 citations indexed

About

Cédric R. Weber is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Cédric R. Weber has authored 21 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Immunology. Recurrent topics in Cédric R. Weber's work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (10 papers) and vaccines and immunoinformatics approaches (8 papers). Cédric R. Weber is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (10 papers) and vaccines and immunoinformatics approaches (8 papers). Cédric R. Weber collaborates with scholars based in Switzerland, Norway and Austria. Cédric R. Weber's co-authors include Sai T. Reddy, Victor Greiff, Enkelejda Miho, Alexander Yermanos, Derek M. Mason, Roy A. Ehling, Simon M. Meng, Ulrike Menzel, Christoph T. Berger and Bastian Wagner and has published in prestigious journals such as Cell, Nucleic Acids Research and Immunity.

In The Last Decade

Cédric R. Weber

21 papers receiving 923 citations

Peers

Cédric R. Weber

RNMI

IMMUN

ONCOL

Claire Marks United Kingdom

Jinwoo Leem United Kingdom

Pauline Malinge Switzerland

Matthew I. J. Raybould United Kingdom

Carolina Barra Denmark

Payton A. Weidenbacher United States

William Kelton New Zealand

Konrad Krawczyk United Kingdom

Inbal Sela‐Culang Israel

Gustav Røder Denmark

Claire Marks United Kingdom

Cédric R. Weber

747 ×1.2

653 ×1.5

RNMI

278 ×0.6

IMMUN

183 ×1.4

64 ×0.5

ONCOL

Citations per year, relative to Cédric R. Weber Cédric R. Weber (= 1×) peers Claire Marks

Countries citing papers authored by Cédric R. Weber

Since Specialization

Citations

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

Fields of papers citing papers by Cédric R. Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cédric R. Weber. 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 Cédric R. Weber. The network helps show where Cédric R. Weber may publish in the future.

Co-authorship network of co-authors of Cédric R. Weber

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

All Works

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20 of 20 papers shown

Taft, Joseph M., Edward B. Irvine, Cédric R. Weber, et al.. (2025). Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2. Nature Biomedical Engineering. 9(4). 552–565. 2 indexed citations

Ehling, Roy A., Daniel J. Sheward, Joseph M. Taft, et al.. (2025). Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2. Cell Systems. 16(9). 101391–101391. 1 indexed citations

Hoehn, Kenneth B., Daniel Neumeier, Joseph M. Taft, et al.. (2024). The physiological landscape and specificity of antibody repertoires are consolidated by multiple immunizations. eLife. 13. 1 indexed citations

Papadopoulou, Chrysa, Cédric R. Weber, Victor Greiff, et al.. (2022). Echidna: integrated simulations of single-cell immune receptor repertoires and transcriptomes. Bioinformatics Advances. 2(1). vbac062–vbac062. 4 indexed citations

Akbar, Rahmad, Philippe A. Robert, Cédric R. Weber, et al.. (2022). In silico proof of principle of machine learning-based antibody design at unconstrained scale. mAbs. 14(1). 2031482–2031482. 50 indexed citations

Vazquez-Lombardi, Rodrigo, Natália Rodrigues Mantuano, Erik Aznauryan, et al.. (2022). High-throughput T cell receptor engineering by functional screening identifies candidates with enhanced potency and specificity. Immunity. 55(10). 1953–1966.e10. 36 indexed citations

Weber, Cédric R., Teresa Rubio, Longlong Wang, et al.. (2022). Reference-based comparison of adaptive immune receptor repertoires. Cell Reports Methods. 2(8). 100269–100269. 14 indexed citations

Taft, Joseph M., Cédric R. Weber, Roy A. Ehling, et al.. (2022). Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain. Cell. 185(21). 4008–4022.e14. 65 indexed citations

Yermanos, Alexander, Chrysa Papadopoulou, Ioana Sandu, et al.. (2021). Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes. NAR Genomics and Bioinformatics. 3(2). lqab023–lqab023. 24 indexed citations

10.

Akbar, Rahmad, Philippe A. Robert, Milena Pavlović, et al.. (2021). A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding. Cell Reports. 34(11). 108856–108856. 106 indexed citations

11.

Slabodkin, Andrei, Maria Chernigovskaya, Rahmad Akbar, et al.. (2021). Individualized VDJ recombination predisposes the available Ig sequence space. Genome Research. 31(12). 2209–2224. 25 indexed citations

12.

Mason, Derek M., Simon Friedensohn, Cédric R. Weber, et al.. (2021). Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning. Nature Biomedical Engineering. 5(6). 600–612. 174 indexed citations

13.

Ehling, Roy A., Cédric R. Weber, Derek M. Mason, et al.. (2021). SARS-CoV-2 reactive and neutralizing antibodies discovered by single-cell sequencing of plasma cells and mammalian display. Cell Reports. 38(3). 110242–110242. 14 indexed citations

14.

Vazquez-Lombardi, Rodrigo, Alexander Yermanos, Roy A. Ehling, et al.. (2021). A Single-Cell Atlas of Lymphocyte Adaptive Immune Repertoires and Transcriptomes Reveals Age-Related Differences in Convalescent COVID-19 Patients. Frontiers in Immunology. 12. 701085–701085. 29 indexed citations

15.

Taft, Joseph M., Cédric R. Weber, Roy A. Ehling, et al.. (2021). Predictive Profiling of SARS-CoV-2 Variants by Deep Mutational Learning. SSRN Electronic Journal. 3 indexed citations

16.

Weber, Cédric R., Rahmad Akbar, Alexander Yermanos, et al.. (2020). immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking. Bioinformatics. 36(11). 3594–3596. 39 indexed citations

17.

Miho, Enkelejda, Alexander Yermanos, Cédric R. Weber, et al.. (2018). Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires. Frontiers in Immunology. 9. 224–224. 128 indexed citations

18.

Mason, Derek M., Cédric R. Weber, Simon M. Meng, et al.. (2018). High-throughput antibody engineering in mammalian cells by CRISPR/Cas9-mediated homology-directed mutagenesis. Nucleic Acids Research. 46(14). 7436–7449. 50 indexed citations

19.

Greiff, Victor, Ulrike Menzel, Enkelejda Miho, et al.. (2017). Systems Analysis Reveals High Genetic and Antigen-Driven Predetermination of Antibody Repertoires throughout B Cell Development. Cell Reports. 19(7). 1467–1478. 109 indexed citations

20.

Greiff, Victor, Cédric R. Weber, Ulrich Bodenhofer, et al.. (2017). Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires. The Journal of Immunology. 199(8). 2985–2997. 78 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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