Karl W. Barber

1.2k total citations
18 papers, 594 citations indexed

About

Karl W. Barber is a scholar working on Molecular Biology, Ecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Karl W. Barber has authored 18 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Karl W. Barber's work include RNA and protein synthesis mechanisms (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). Karl W. Barber is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). Karl W. Barber collaborates with scholars based in United States, Japan and France. Karl W. Barber's co-authors include Jesse Rinehart, Farren J. Isaacs, Hans R. Aerni, Svetlana Rogulina, Natalie Jing, Brandon M. Gassaway, Adrian D. Haimovich, Javin P. Oza, Michael C. Jewett and Christopher R. Evans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Karl W. Barber

18 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl W. Barber United States 14 509 73 51 42 41 18 594
Kip E. Guja United States 15 478 0.9× 46 0.6× 24 0.5× 52 1.2× 39 1.0× 29 650
Claudia Andrieu France 12 399 0.8× 25 0.3× 60 1.2× 45 1.1× 73 1.8× 25 584
Eva C. Keilhauer Germany 8 499 1.0× 53 0.7× 63 1.2× 29 0.7× 44 1.1× 9 623
Moon‐Hyeong Seo South Korea 11 380 0.7× 31 0.4× 60 1.2× 15 0.4× 38 0.9× 20 473
Timothy S. Strutzenberg United States 13 463 0.9× 32 0.4× 33 0.6× 49 1.2× 66 1.6× 21 617
Ganesan Senthil Kumar United States 15 528 1.0× 41 0.6× 101 2.0× 36 0.9× 67 1.6× 36 659
Jane S. Merkel United States 11 557 1.1× 29 0.4× 44 0.9× 40 1.0× 40 1.0× 11 716
Yoshiaki Suwa Japan 13 555 1.1× 78 1.1× 43 0.8× 28 0.7× 84 2.0× 23 690
Tara L. Davis Canada 15 541 1.1× 39 0.5× 86 1.7× 44 1.0× 91 2.2× 17 723
Yoko Yoshikawa Japan 14 506 1.0× 48 0.7× 68 1.3× 28 0.7× 53 1.3× 31 760

Countries citing papers authored by Karl W. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Karl W. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl W. Barber. 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 Karl W. Barber. The network helps show where Karl W. Barber may publish in the future.

Co-authorship network of co-authors of Karl W. Barber

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

All Works

18 of 18 papers shown
1.
Nardone, Christopher, Brad A. Palanski, Daniel C. Scott, et al.. (2023). A central role for regulated protein stability in the control of TFE3 and MITF by nutrients. Molecular Cell. 83(1). 57–73.e9. 29 indexed citations
2.
Barber, Karl W., Ellen Shrock, & Stephen J. Elledge. (2022). CasPlay provides a gRNA-barcoded CRISPR-based display platform for antibody repertoire profiling. Cell Reports Methods. 2(10). 100318–100318. 2 indexed citations
3.
Barber, Karl W., Ellen Shrock, & Stephen J. Elledge. (2021). CRISPR-based peptide library display and programmable microarray self-assembly for rapid quantitative protein binding assays. Molecular Cell. 81(17). 3650–3658.e5. 13 indexed citations
4.
Zhang, Hong, Yongqiang Fan, Christopher R. Evans, et al.. (2020). Metabolic stress promotes stop-codon readthrough and phenotypic heterogeneity. Proceedings of the National Academy of Sciences. 117(36). 22167–22172. 26 indexed citations
5.
Gassaway, Brandon M., Rebecca Cardone, Anil K. Padyana, et al.. (2019). Distinct Hepatic PKA and CDK Signaling Pathways Control Activity-Independent Pyruvate Kinase Phosphorylation and Hepatic Glucose Production. Cell Reports. 29(11). 3394–3404.e9. 12 indexed citations
6.
Barber, Karl W., et al.. (2019). Expression of TorsinA in a heterologous yeast system reveals interactions with lumenal domains of LINC and nuclear pore complex components. Molecular Biology of the Cell. 30(5). 530–541. 10 indexed citations
7.
8.
Barber, Karl W., Paul Muir, Svetlana Rogulina, et al.. (2018). Encoding human serine phosphopeptides in bacteria for proteome-wide identification of phosphorylation-dependent interactions. Nature Biotechnology. 36(7). 638–644. 28 indexed citations
9.
Barber, Karl W. & Jesse Rinehart. (2018). The ABCs of PTMs. Nature Chemical Biology. 14(3). 188–192. 74 indexed citations
10.
Gassaway, Brandon M., Max C. Petersen, Yulia V. Surovtseva, et al.. (2018). PKCε contributes to lipid-induced insulin resistance through cross talk with p70S6K and through previously unknown regulators of insulin signaling. Proceedings of the National Academy of Sciences. 115(38). E8996–E9005. 56 indexed citations
11.
Barber, Karl W., et al.. (2018). Kinase Substrate Profiling Using a Proteome-wide Serine-Oriented Human Peptide Library. Biochemistry. 57(31). 4717–4725. 14 indexed citations
12.
Barber, Karl W. & Jesse Rinehart. (2017). Expression of Recombinant Phosphoproteins for Signal Transduction Studies. Methods in molecular biology. 1636. 71–78. 3 indexed citations
13.
D’Lima, Nadia G., Alexandra Khitun, Brandon M. Gassaway, et al.. (2017). Comparative Proteomics Enables Identification of Nonannotated Cold Shock Proteins in E. coli. Journal of Proteome Research. 16(10). 3722–3731. 26 indexed citations
14.
Fan, Yongqiang, Christopher R. Evans, Karl W. Barber, et al.. (2017). Heterogeneity of Stop Codon Readthrough in Single Bacterial Cells and Implications for Population Fitness. Molecular Cell. 67(5). 826–836.e5. 38 indexed citations
15.
16.
Ferdaus, Mohammed Z., Karl W. Barber, Karen I. López‐Cayuqueo, et al.. (2016). SPAK and OSR1 play essential roles in potassium homeostasis through actions on the distal convoluted tubule. The Journal of Physiology. 594(17). 4945–4966. 48 indexed citations
17.
Barber, Karl W., Hans R. Aerni, Natalie Jing, et al.. (2015). A flexible codon in genomically recoded Escherichia coli permits programmable protein phosphorylation. Nature Communications. 6(1). 8130–8130. 83 indexed citations
18.
Oza, Javin P., Hans R. Aerni, Karl W. Barber, et al.. (2015). Robust production of recombinant phosphoproteins using cell-free protein synthesis. Nature Communications. 6(1). 8168–8168. 94 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