Roy A. Ehling

1.1k total citations
13 papers, 430 citations indexed

About

Roy A. Ehling is a scholar working on Molecular Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roy A. Ehling has authored 13 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roy A. Ehling's work include SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (5 papers). Roy A. Ehling is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (5 papers). Roy A. Ehling collaborates with scholars based in Switzerland, Sweden and United Kingdom. Roy A. Ehling's co-authors include Sai T. Reddy, Cédric R. Weber, Bastian Wagner, Lucia Bonati, Derek M. Mason, Christian Jordi, Bruno E. Correia, Simon Friedensohn, Pablo Gaínza and Simon M. Meng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Frontiers in Immunology.

In The Last Decade

Roy A. Ehling

13 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy A. Ehling Switzerland 9 284 163 138 89 56 13 430
Gretel M. Torres United States 4 166 0.6× 153 0.9× 309 2.2× 100 1.1× 71 1.3× 5 502
Fangzhu Zhao United States 7 190 0.7× 150 0.9× 345 2.5× 111 1.2× 24 0.4× 13 496
Alec A. Desai United States 11 342 1.2× 327 2.0× 110 0.8× 85 1.0× 54 1.0× 24 567
Hrishikesh Das Sweden 7 246 0.9× 230 1.4× 296 2.1× 71 0.8× 24 0.4× 11 533
Derek M. Mason Switzerland 6 220 0.8× 178 1.1× 52 0.4× 65 0.7× 50 0.9× 8 307
Zhengyun Xiao China 6 168 0.6× 167 1.0× 181 1.3× 83 0.9× 16 0.3× 8 392
Rudo Simeon United States 9 154 0.5× 98 0.6× 87 0.6× 60 0.7× 36 0.6× 12 354
Aleksandr Kovaltsuk United Kingdom 11 414 1.5× 375 2.3× 151 1.1× 231 2.6× 20 0.4× 15 587
Henry J. Tien United States 3 127 0.4× 90 0.6× 263 1.9× 50 0.6× 40 0.7× 4 338
Michael Kubitz United States 5 362 1.3× 221 1.4× 85 0.6× 251 2.8× 21 0.4× 8 591

Countries citing papers authored by Roy A. Ehling

Since Specialization
Citations

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

Fields of papers citing papers by Roy A. Ehling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy A. Ehling. 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 Roy A. Ehling. The network helps show where Roy A. Ehling may publish in the future.

Co-authorship network of co-authors of Roy A. Ehling

This figure shows the co-authorship network connecting the top 25 collaborators of Roy A. Ehling. A scholar is included among the top collaborators of Roy A. Ehling 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 Roy A. Ehling. Roy A. Ehling 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.
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
2.
Neumeier, Daniel, Roy A. Ehling, Ioana Sandu, et al.. (2023). Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity. iScience. 26(3). 106055–106055. 5 indexed citations
3.
Neumeier, Daniel, Alexander Yermanos, Roy A. Ehling, et al.. (2022). Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells. Proceedings of the National Academy of Sciences. 119(18). e2113766119–e2113766119. 13 indexed citations
4.
Sheward, Daniel J., Chang-Il Kim, Roy A. Ehling, et al.. (2022). Neutralisation sensitivity of the SARS-CoV-2 omicron (B.1.1.529) variant: a cross-sectional study. The Lancet Infectious Diseases. 22(6). 813–820. 51 indexed citations
5.
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
6.
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
7.
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
8.
Neumeier, Daniel, Alessandro Pedrioli, Alessandro Genovese, et al.. (2021). Profiling the specificity of clonally expanded plasma cells during chronic viral infection by single‐cell analysis. European Journal of Immunology. 52(2). 297–311. 7 indexed citations
9.
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
10.
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
11.
Ehling, Roy A., et al.. (2020). Immune Literacy: Reading, Writing, and Editing Adaptive Immunity. iScience. 23(9). 101519–101519. 11 indexed citations
12.
Pesch, Theresa, Lucia Bonati, William Kelton, et al.. (2019). Molecular Design, Optimization, and Genomic Integration of Chimeric B Cell Receptors in Murine B Cells. Frontiers in Immunology. 10. 2630–2630. 24 indexed citations
13.
Sürün, Duran, Joachim Schwäble, Ana Tomasovic, et al.. (2017). High Efficiency Gene Correction in Hematopoietic Cells by Donor-Template-Free CRISPR/Cas9 Genome Editing. Molecular Therapy — Nucleic Acids. 10. 1–8. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026