Ryan Gilbreth

980 total citations
16 papers, 698 citations indexed

About

Ryan Gilbreth is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Ryan Gilbreth has authored 16 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Ryan Gilbreth's work include Monoclonal and Polyclonal Antibodies Research (10 papers), CAR-T cell therapy research (4 papers) and Ubiquitin and proteasome pathways (3 papers). Ryan Gilbreth is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), CAR-T cell therapy research (4 papers) and Ubiquitin and proteasome pathways (3 papers). Ryan Gilbreth collaborates with scholars based in United States, Japan and Germany. Ryan Gilbreth's co-authors include Shohei Koide, Akiko Koide, Kaori Esaki, John Wojcik, Robert J. Hoey, Valentina Tereshko, Sachdev S. Sidhu, Sangmoon Lhee, J. Todd Holland and Richard Kuras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ryan Gilbreth

16 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Gilbreth United States 11 568 318 103 65 51 16 698
Hiroki Akiba Japan 12 267 0.5× 192 0.6× 94 0.9× 79 1.2× 64 1.3× 38 496
Zhaozhong Han United States 13 434 0.8× 185 0.6× 62 0.6× 43 0.7× 27 0.5× 23 610
Neeraj J. Agrawal United States 17 843 1.5× 472 1.5× 104 1.0× 93 1.4× 149 2.9× 29 1.0k
Marzena Dyba United States 12 617 1.1× 170 0.5× 127 1.2× 69 1.1× 44 0.9× 21 717
Anselm F. L. Schneider Germany 9 647 1.1× 233 0.7× 88 0.9× 48 0.7× 65 1.3× 11 813
Esteban Cruz Australia 10 341 0.6× 279 0.9× 136 1.3× 42 0.6× 131 2.6× 20 650
Katarina S. Midelfort United States 9 652 1.1× 608 1.9× 80 0.8× 168 2.6× 114 2.2× 10 985
Е. Н. Лебеденко Russia 15 463 0.8× 286 0.9× 76 0.7× 144 2.2× 87 1.7× 29 751
Michael W. Handlogten United States 16 398 0.7× 258 0.8× 50 0.5× 31 0.5× 68 1.3× 25 604
Andrew E. Nixon United States 20 965 1.7× 479 1.5× 153 1.5× 92 1.4× 112 2.2× 44 1.3k

Countries citing papers authored by Ryan Gilbreth

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Gilbreth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Gilbreth. 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 Ryan Gilbreth. The network helps show where Ryan Gilbreth may publish in the future.

Co-authorship network of co-authors of Ryan Gilbreth

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

All Works

16 of 16 papers shown
1.
Xu, Linda, Ryan Gilbreth, Manuel Baca, et al.. (2023). Redirecting the specificity of tripartite motif containing-21 scaffolds using a novel discovery and design approach. Journal of Biological Chemistry. 299(12). 105381–105381. 4 indexed citations
2.
Dyk, Dewald van, Peter Zanvit, Christine Fazenbaker, et al.. (2023). Abstract LB085: Antitumor activity of AZD0754, a dnTGFbRII armored STEAP2 targeted CAR-T therapy, in preclinical models of prostate cancer. Cancer Research. 83(8_Supplement). LB085–LB085. 1 indexed citations
3.
Gilbreth, Ryan, Cui Chen, Erin Sult, et al.. (2020). 112 Rational design of chimeric antigen receptor T cells against glypican 3 decouples toxicity from therapeutic efficacy. SHILAP Revista de lepidopterología. A69.2–A70. 1 indexed citations
4.
Wang, Yaya, et al.. (2020). Abstract 5178: MEDI7526: a novel bispecific antibody that activates the CD40 pathway and down-regulates cell surface PD-L1 expression. Cancer Research. 80(16_Supplement). 5178–5178. 1 indexed citations
5.
Gilbreth, Ryan, et al.. (2018). Crystal structure of the human 4-1BB/4-1BBL complex. Journal of Biological Chemistry. 293(25). 9880–9891. 13 indexed citations
6.
Gilbreth, Ryan, Leslie Wetzel, Horacio Cabral, et al.. (2016). Lipid- and polyion complex-based micelles as agonist platforms for TNFR superfamily receptors. Journal of Controlled Release. 234. 104–114. 15 indexed citations
7.
Fleming, Ryan, Joanne Ayriss, Ryan Gilbreth, et al.. (2016). A Nanoparticle Platform To Evaluate Bioconjugation and Receptor-Mediated Cell Uptake Using Cross-Linked Polyion Complex Micelles Bearing Antibody Fragments. Biomacromolecules. 17(5). 1818–1833. 41 indexed citations
8.
Gilbreth, Ryan, et al.. (2014). Stabilization of the third fibronectin type III domain of human tenascin-C through minimal mutation and rational design. Protein Engineering Design and Selection. 27(10). 411–418. 17 indexed citations
9.
Gilbreth, Ryan & Shohei Koide. (2012). Structural insights for engineering binding proteins based on non-antibody scaffolds. Current Opinion in Structural Biology. 22(4). 413–420. 70 indexed citations
10.
Koide, Akiko, John Wojcik, Ryan Gilbreth, Robert J. Hoey, & Shohei Koide. (2011). Teaching an Old Scaffold New Tricks: Monobodies Constructed Using Alternative Surfaces of the FN3 Scaffold. Journal of Molecular Biology. 415(2). 393–405. 157 indexed citations
11.
Gilbreth, Ryan, Ikenna G. Madu, Akiko Koide, et al.. (2011). Isoform-specific monobody inhibitors of small ubiquitin-related modifiers engineered using structure-guided library design. Proceedings of the National Academy of Sciences. 108(19). 7751–7756. 49 indexed citations
12.
Koide, Akiko, John Wojcik, Ryan Gilbreth, et al.. (2009). Accelerating phage-display library selection by reversible and site-specific biotinylation. Protein Engineering Design and Selection. 22(11). 685–690. 19 indexed citations
13.
Gilbreth, Ryan, Kaori Esaki, Akiko Koide, Sachdev S. Sidhu, & Shohei Koide. (2008). A Dominant Conformational Role for Amino Acid Diversity in Minimalist Protein–Protein Interfaces. Journal of Molecular Biology. 381(2). 407–418. 65 indexed citations
14.
Crofts, Antony R., J. Todd Holland, Doreen Victoria, et al.. (2008). P/25. Is the modified Q-cycle sufficient as a model to describe the mechanism of the bc1 complex without invoking electron transfer across the dimer interface?. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777. S8–S8. 1 indexed citations
15.
Crofts, Antony R., J. Todd Holland, Doreen Victoria, et al.. (2008). The Q-cycle reviewed: How well does a monomeric mechanism of the bc1 complex account for the function of a dimeric complex?. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(7-8). 1001–1019. 98 indexed citations
16.
Koide, Akiko, Ryan Gilbreth, Kaori Esaki, Valentina Tereshko, & Shohei Koide. (2007). High-affinity single-domain binding proteins with a binary-code interface. Proceedings of the National Academy of Sciences. 104(16). 6632–6637. 146 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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