Brian K. Kay

10.3k total citations · 1 hit paper
147 papers, 8.4k citations indexed

About

Brian K. Kay is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Brian K. Kay has authored 147 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 74 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Cell Biology. Recurrent topics in Brian K. Kay's work include Monoclonal and Polyclonal Antibodies Research (73 papers), Glycosylation and Glycoproteins Research (28 papers) and RNA and protein synthesis mechanisms (21 papers). Brian K. Kay is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (73 papers), Glycosylation and Glycoproteins Research (28 papers) and RNA and protein synthesis mechanisms (21 papers). Brian K. Kay collaborates with scholars based in United States, Canada and Thailand. Brian K. Kay's co-authors include Marius Sudol, Michael P. Williamson, Peter S. McPherson, John W. Kehoe, Andrew B. Sparks, Noah G. Hoffman, Montarop Yamabhai, Natasha K. Hussain, Dana M. Fowlkes and James E. Rider and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Brian K. Kay

144 papers receiving 8.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The importance of being proline: the interaction of proline‐rich motifs in signaling proteins with their cognate domains

2000 1.0k citations Brian K. Kay, Marius Sudol et al. profile →

Peers

Countries citing papers authored by Brian K. Kay

Since Specialization

Citations

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

Fields of papers citing papers by Brian K. Kay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian K. Kay. 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 Brian K. Kay. The network helps show where Brian K. Kay may publish in the future.

Co-authorship network of co-authors of Brian K. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. Kay. A scholar is included among the top collaborators of Brian K. Kay 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 Brian K. Kay. Brian K. Kay 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

#	Work	Indexed citations
1	Isolation of Peptide Ligands for the HIV Capsid Protein p24 by Phage-Display 2025 ·International Journal of Peptide Research and Therapeutics ·Jerry K. K. Woo, (unknown), (unknown), (unknown), Katerina Kourentzi, Richard C. Willson, Brian K. Kay	1
2	Engineered FHA domains can bind to a variety of Phosphothreonine-containing peptides 2024 ·Protein Engineering Design and Selection ·(unknown), (unknown), (unknown), Brian K. Kay	1
3	Phosphorylated Gβ is a directional cue during yeast gradient tracking 2021 ·Science Signaling ·(unknown), (unknown), Xin Wang, (unknown), Robert A. Arkowitz, Brian K. Kay, David E. Stone	5
4	Directed Evolution to Engineer Monobody for FRET Biosensor Assembly and Imaging at Live-Cell Surface 2018 ·Cell chemical biology ·Praopim Limsakul, Peng Qin, Yiqian Wu, (unknown), Jing Liang, Albert G. Remacle, (unknown), Xin Ge, Brian K. Kay, Huimin Zhao, Alex Y. Strongin, Xiang‐Lei Yang, Shaoying Lu, Yingxiao Wang	20
5	Generation of recombinant affinity reagents against a two-phosphosite epitope of ATF2 2017 ·New Biotechnology ·(unknown), Brian K. Kay	4
6	Generating Recombinant Antibodies to Membrane Proteins through Phage Display 2016 ·Antibodies ·(unknown), Margaret M. Kiss, (unknown), Michael P. Weiner, Brian K. Kay	17
7	Streamlining the Pipeline for Generation of Recombinant Affinity Reagents by Integrating the Affinity Maturation Step 2015 ·International Journal of Molecular Sciences ·(unknown), (unknown), (unknown), E. Dobrovetsky, S. Gräslund, Brian K. Kay	11
8	Use of micro-emulsion technology for the directed evolution of antibodies 2012 ·Methods ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Brian K. Kay, David A. Weitz, Michael P. Weiner, Margaret M. Kiss	8
9	Generating a panel of highly specific antibodies to 20 human SH2 domains by phage display 2010 ·Protein Engineering Design and Selection ·(unknown), (unknown), S. Gräslund, Peter Nilsson, Karen Colwill, Aneesh Karatt-Vellatt, Darren J. Schofield, Michael R. Dyson, Tony Pawson, Brian K. Kay, John McCafferty	46
10	Selecting peptides for use in nanoscale materials using phage-displayed combinatorial peptide libraries 2005 ·Current Opinion in Biotechnology ·(unknown), Brian K. Kay	71
11	Molecular Recognition Properties of FN3 Monobodies that Bind the Src SH3 Domain 2004 ·Chemistry & Biology ·Ece Karatan, (unknown), Zhaozhong Han, Michael D. Scholle, Shohei Koide, Brian K. Kay	51
12	A Role for Epsin N-terminal Homology/AP180 N-terminal Homology (ENTH/ANTH) Domains in Tubulin Binding 2003 ·Journal of Biological Chemistry ·Natasha K. Hussain, Montarop Yamabhai, Asha Bhakar, Martina Metzler, Stephen Ferguson, Michael R. Hayden, Peter S. McPherson, Brian K. Kay	26
13	Screening Phage-Displayed Combinatorial Peptide Libraries 2001 ·Methods ·Brian K. Kay, Jeremy Kasanov, Montarop Yamabhai	69
14	Identification of a novel domain shared by putative components of the endocytic and cytoskeletal machinery 1999 ·Protein Science ·Brian K. Kay, Montarop Yamabhai, Beverly Wendland, Scott D. Emr	98
15	Using Molecular Repertoires to Identify High-Affinity Peptide Ligands of the WW Domain of Human and Mouse YAP 1997 ·Biological Chemistry ·(unknown), (unknown), (unknown), Andrew B. Sparks, Brian K. Kay, Marius Sudol	61
16	Phage display of peptides and proteins : a laboratory manual 1996 ·Academic Press eBooks ·Brian K. Kay, Jill Winter, John McCafferty	219
17	Increasing the Distance Between the snRNA Promoter and the 3' Box Decreases the Efficiency of snRNA 3-End Formation 1996 ·Nucleic Acids Research ·Lakshman Ramamurthy, Thomas C. Ingledue, Duane R. Pilch, Brian K. Kay, William F. Marzluff	13
18	Identification of calmodulin-binding peptide consensus sequences from a phage-displayed random peptide library 1996 ·Gene ·Nils B. Adey, Brian K. Kay	16
19	Identification of a biologically significant DNA-binding peptide motif by use of a random phage display library 1996 ·Gene ·(unknown), Brian K. Kay, R. L. Juliano	21
20	An M13 phage library displaying random 38-amino-acid peptides as a source of novel sequences with affinity to selected targets 1993 ·Gene ·Brian K. Kay, Nils B. Adey, Yunsheng He, John P. Manfredi, (unknown), Dana M. Fowlkes	135

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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