Kyle A. Barlow

4.0k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Kyle A. Barlow is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Kyle A. Barlow has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Materials Chemistry. Recurrent topics in Kyle A. Barlow's work include Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). Kyle A. Barlow is often cited by papers focused on Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). Kyle A. Barlow collaborates with scholars based in United States, Finland and Germany. Kyle A. Barlow's co-authors include Michael C. Holmes, Sarah J. Hinkley, Danny F. Xia, Kevin Hua, Siyuan Tan, David E. Paschon, Jianbin Wang, Elo Leung, Jeffrey C. Miller and Fyodor D. Urnov and has published in prestigious journals such as Science, Nature Biotechnology and PLoS ONE.

In The Last Decade

Kyle A. Barlow

8 papers receiving 2.0k citations

Hit Papers

A TALE nuclease architecture for efficient genome editing 2010 2026 2015 2020 2010 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle A. Barlow United States 6 1.8k 475 253 142 110 8 2.0k
Yolanda Santiago United States 11 2.0k 1.1× 703 1.5× 219 0.9× 45 0.3× 93 0.8× 22 2.2k
Gaelen T. Hess United States 17 2.1k 1.1× 436 0.9× 169 0.7× 101 0.7× 177 1.6× 21 2.5k
Mark A. DeWitt United States 18 1.9k 1.0× 451 0.9× 121 0.5× 29 0.2× 136 1.2× 22 2.1k
Marie La Russa United States 10 2.7k 1.5× 440 0.9× 285 1.1× 32 0.2× 128 1.2× 14 3.0k
Ya-Li Lee United States 4 2.4k 1.3× 804 1.7× 319 1.3× 26 0.2× 183 1.7× 9 2.5k
David I. Bryson United States 8 3.1k 1.7× 808 1.7× 427 1.7× 40 0.3× 165 1.5× 10 3.2k
John P. Guilinger United States 8 3.2k 1.8× 714 1.5× 298 1.2× 49 0.3× 134 1.2× 8 3.4k
Jiazhi Hu China 21 1.9k 1.1× 349 0.7× 194 0.8× 46 0.3× 255 2.3× 40 2.2k
Aleksandar Vojta Croatia 18 1.2k 0.7× 223 0.5× 197 0.8× 109 0.8× 53 0.5× 34 1.4k
Bryan Zeitler United States 9 2.6k 1.4× 709 1.5× 260 1.0× 20 0.1× 127 1.2× 11 2.8k

Countries citing papers authored by Kyle A. Barlow

Since Specialization
Citations

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

Fields of papers citing papers by Kyle A. Barlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle A. Barlow

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

All Works

8 of 8 papers shown
1.
Barlow, Kyle A., Michael B. Battles, Michael E. Brown, et al.. (2025). Design of orthogonal constant domain interfaces to aid proper heavy/light chain pairing of bispecific antibodies. mAbs. 17(1). 2479531–2479531. 1 indexed citations
2.
Makushok, Tatyana, Eric Tang, Athena W. Lin, et al.. (2022). Single-cell analysis of habituation in Stentor coeruleus. Current Biology. 33(2). 241–251.e4. 21 indexed citations
3.
Glasgow, Anum, Yao-Ming Huang, Daniel J. Mandell, et al.. (2019). Computational design of a modular protein sense-response system. Science. 366(6468). 1024–1028. 92 indexed citations
4.
Lu, Xiaojun, R. Paul Nobrega, Heather Lynaugh, et al.. (2018). Deamidation and isomerization liability analysis of 131 clinical-stage antibodies. mAbs. 11(1). 45–57. 97 indexed citations
5.
Barlow, Kyle A., Shane Ó Conchúir, Samuel Thompson, et al.. (2018). Flex ddG: Rosetta Ensemble-Based Estimation of Changes in Protein–Protein Binding Affinity upon Mutation. The Journal of Physical Chemistry B. 122(21). 5389–5399. 158 indexed citations
6.
Ritterson, Ryan, et al.. (2016). Design of Light-Controlled Protein Conformations and Functions. Methods in molecular biology. 1414. 197–211. 4 indexed citations
7.
Conchúir, Shane Ó, Kyle A. Barlow, Roland A. Pache, et al.. (2015). A Web Resource for Standardized Benchmark Datasets, Metrics, and Rosetta Protocols for Macromolecular Modeling and Design. PLoS ONE. 10(9). e0130433–e0130433. 68 indexed citations
8.
Miller, Jeffrey C., Siyuan Tan, Kyle A. Barlow, et al.. (2010). A TALE nuclease architecture for efficient genome editing. Nature Biotechnology. 29(2). 143–148. 1580 indexed citations breakdown →

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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