Joseph M. Taft

436 total citations
10 papers, 275 citations indexed

About

Joseph M. Taft is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Joseph M. Taft has authored 10 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Infectious Diseases. Recurrent topics in Joseph M. Taft's work include Monoclonal and Polyclonal Antibodies Research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and vaccines and immunoinformatics approaches (3 papers). Joseph M. Taft is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and vaccines and immunoinformatics approaches (3 papers). Joseph M. Taft collaborates with scholars based in Switzerland, United States and New Zealand. Joseph M. Taft's co-authors include George Georgiou, Brent L. Iverson, Qing Li, Yi Li, Sai T. Reddy, Cédric R. Weber, Roy A. Ehling, Alexander Yermanos, William Kelton and Benjamin Salzer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Methods.

In The Last Decade

Joseph M. Taft

10 papers receiving 270 citations

Peers

Countries citing papers authored by Joseph M. Taft

Since Specialization

Citations

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

Fields of papers citing papers by Joseph M. Taft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Taft. 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 Joseph M. Taft. The network helps show where Joseph M. Taft may publish in the future.

Co-authorship network of co-authors of Joseph M. Taft

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2 2025 ·Nature Biomedical Engineering ·(unknown), (unknown), (unknown), Joseph M. Taft, Edward B. Irvine, Cédric R. Weber, (unknown), (unknown), Andrey Ignatov, Zaibo Yang, Sai T. Reddy	2
2	Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2 2025 ·Cell Systems ·Roy A. Ehling, (unknown), (unknown), Daniel J. Sheward, (unknown), (unknown), Joseph M. Taft, (unknown), Cédric R. Weber, (unknown), (unknown), Ben Murrell, Sai T. Reddy	1
3	The physiological landscape and specificity of antibody repertoires are consolidated by multiple immunizations 2024 ·eLife ·(unknown), Kenneth B. Hoehn, Daniel Neumeier, Joseph M. Taft, Simon Friedensohn, Cédric R. Weber, (unknown), Fabian Sesterhenn, Bruno E. Correia, Sai T. Reddy	1
4	Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain 2022 ·Cell ·Joseph M. Taft, Cédric R. Weber, (unknown), Roy A. Ehling, (unknown), (unknown), (unknown), (unknown), Alexander Yermanos, William Kelton, Sai T. Reddy	65
5	Predictive Profiling of SARS-CoV-2 Variants by Deep Mutational Learning 2021 ·SSRN Electronic Journal ·Joseph M. Taft, Cédric R. Weber, (unknown), Roy A. Ehling, (unknown), (unknown), (unknown), Alexander Yermanos, William Kelton, Sai T. Reddy	3
6	Driving CARs with alternative navigation tools – the potential of engineered binding scaffolds 2020 ·FEBS Journal ·Charlotte U. Zajc, Benjamin Salzer, Joseph M. Taft, Sai T. Reddy, Manfred Lehner, Michael W. Traxlmayr	31
7	Rapid Screen for Tyrosine Kinase Inhibitor Resistance Mutations and Substrate Specificity 2019 ·ACS Chemical Biology ·Joseph M. Taft, Sandrine Georgeon, Christopher C. R. Allen, Sina Reckel, (unknown), Oliver Hantschel, George Georgiou, Brent L. Iverson	9
8	Yeast Endoplasmic Reticulum Sequestration Screening for the Engineering of Proteases from Libraries Expressed in Yeast 2015 ·Methods in molecular biology ·Yi Li, Joseph M. Taft, Qing Li, (unknown), George Georgiou, Brent L. Iverson	11
9	Recombinant antibodies to histone post-translational modifications 2013 ·Nature Methods ·Takamitsu Hattori, Joseph M. Taft, (unknown), Hao Luo, Heather Witt, Matthew Slattery, Akiko Koide, Alexander J. Ruthenburg, Krzysztof Krajewski, Brian D. Strahl, Kevin P. White, Peggy Farnham, Yingming Zhao, Shohei Koide	51
10	Engineering of TEV protease variants by yeast ER sequestration screening (YESS) of combinatorial libraries 2013 ·Proceedings of the National Academy of Sciences ·Yi Li, (unknown), Qing Li, Joseph M. Taft, George Georgiou, Brent L. Iverson	101

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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