Kaycie M. Deyle

1.8k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Kaycie M. Deyle is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kaycie M. Deyle has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Organic Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kaycie M. Deyle's work include Chemical Synthesis and Analysis (6 papers), Click Chemistry and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Kaycie M. Deyle is often cited by papers focused on Chemical Synthesis and Analysis (6 papers), Click Chemistry and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Kaycie M. Deyle collaborates with scholars based in Switzerland, United States and Italy. Kaycie M. Deyle's co-authors include Christian Heinis, Alessandro Zorzi, Xu‐Dong Kong, Jonas Wilbs, Sangram S. Kale, Simon J. Middendorp, James R. Heath, Luciano A. Abriata, Florence Pojer and Arundhati Nag and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Kaycie M. Deyle

18 papers receiving 1.3k citations

Hit Papers

Cyclic peptide therapeutics: past, present and future 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaycie M. Deyle Switzerland 14 1.1k 418 287 170 161 18 1.4k
Alessandro Zorzi Switzerland 8 825 0.8× 278 0.7× 213 0.7× 158 0.9× 130 0.8× 12 1.1k
Ziqing Qian United States 24 1.7k 1.6× 552 1.3× 235 0.8× 229 1.3× 282 1.8× 37 2.1k
Yuteng Wu United Kingdom 17 919 0.8× 630 1.5× 165 0.6× 134 0.8× 123 0.8× 32 1.2k
John Offer United Kingdom 18 1.8k 1.7× 826 2.0× 134 0.5× 222 1.3× 184 1.1× 36 2.1k
Charles K. Marlowe United States 14 1.2k 1.1× 668 1.6× 242 0.8× 214 1.3× 121 0.8× 23 1.6k
Yun‐Kun Qi China 19 1.3k 1.2× 564 1.3× 122 0.4× 412 2.4× 163 1.0× 52 1.7k
Julio H. Cuervo United States 7 1.1k 1.0× 316 0.8× 465 1.6× 118 0.7× 119 0.7× 7 1.3k
Rongsheng E. Wang United States 22 976 0.9× 188 0.4× 216 0.8× 247 1.5× 167 1.0× 40 1.4k
Yaw Sing Tan Singapore 22 1.0k 0.9× 461 1.1× 96 0.3× 198 1.2× 63 0.4× 53 1.3k
Adrian Glas Germany 9 833 0.8× 349 0.8× 136 0.5× 163 1.0× 78 0.5× 10 954

Countries citing papers authored by Kaycie M. Deyle

Since Specialization
Citations

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

Fields of papers citing papers by Kaycie M. Deyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaycie M. Deyle

This figure shows the co-authorship network connecting the top 25 collaborators of Kaycie M. Deyle. A scholar is included among the top collaborators of Kaycie M. Deyle 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 Kaycie M. Deyle. Kaycie M. Deyle 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.
Kong, Xu‐Dong, et al.. (2020). De novo development of proteolytically resistant therapeutic peptides for oral administration. Nature Biomedical Engineering. 4(5). 560–571. 84 indexed citations
2.
Wilbs, Jonas, Xu‐Dong Kong, Simon J. Middendorp, et al.. (2020). Cyclic peptide FXII inhibitor provides safe anticoagulation in a thrombosis model and in artificial lungs. Nature Communications. 11(1). 3890–3890. 65 indexed citations
3.
Kale, Sangram S., Alessandro Zorzi, J.-M. Vesin, et al.. (2020). Macrocycle synthesis strategy based on step-wise “adding and reacting” three components enables screening of large combinatorial libraries. Chemical Science. 11(30). 7858–7863. 10 indexed citations
4.
Kale, Sangram S., Milan Bergeron‐Brlek, Yuteng Wu, et al.. (2019). Thiol-to-amine cyclization reaction enables screening of large libraries of macrocyclic compounds and the generation of sub-kilodalton ligands. Science Advances. 5(8). eaaw2851–eaaw2851. 32 indexed citations
5.
Wilbs, Jonas, et al.. (2019). Engineered Peptide Macrocycles Can Inhibit Matrix Metalloproteinases with High Selectivity. Angewandte Chemie International Edition. 58(34). 11801–11805. 26 indexed citations
6.
Wilbs, Jonas, et al.. (2019). Engineered Peptide Macrocycles Can Inhibit Matrix Metalloproteinases with High Selectivity. Angewandte Chemie. 131(34). 11927–11931. 5 indexed citations
7.
Kale, Sangram S., et al.. (2018). Cyclization of peptides with two chemical bridges affords large scaffold diversities. Nature Chemistry. 10(7). 715–723. 136 indexed citations
8.
Zorzi, Alessandro, Simon J. Middendorp, Jonas Wilbs, Kaycie M. Deyle, & Christian Heinis. (2017). Acylated heptapeptide binds albumin with high affinity and application as tag furnishes long-acting peptides. Nature Communications. 8(1). 16092–16092. 103 indexed citations
9.
Zorzi, Alessandro, Kaycie M. Deyle, & Christian Heinis. (2017). Cyclic peptide therapeutics: past, present and future. Current Opinion in Chemical Biology. 38. 24–29. 569 indexed citations breakdown →
10.
Deyle, Kaycie M., Xu‐Dong Kong, & Christian Heinis. (2017). Phage Selection of Cyclic Peptides for Application in Research and Drug Development. Accounts of Chemical Research. 50(8). 1866–1874. 147 indexed citations
11.
Deyle, Kaycie M., Blake Farrow, Bert Lai, et al.. (2015). A protein-targeting strategy used to develop a selective inhibitor of the E17K point mutation in the PH domain of Akt1. Nature Chemistry. 7(5). 455–462. 24 indexed citations
12.
Farrow, Blake, Bert Lai, Kaycie M. Deyle, et al.. (2015). Epitope Targeting of Tertiary Protein Structure Enables Target‐Guided Synthesis of a Potent In‐Cell Inhibitor of Botulinum Neurotoxin. Angewandte Chemie International Edition. 54(24). 7114–7119. 24 indexed citations
13.
Farrow, Blake, Bert Lai, Kaycie M. Deyle, et al.. (2015). Epitope Targeting of Tertiary Protein Structure Enables Target‐Guided Synthesis of a Potent In‐Cell Inhibitor of Botulinum Neurotoxin. Angewandte Chemie. 127(24). 7220–7225. 3 indexed citations
14.
Farrow, Blake, Sung A Hong, Bert Lai, et al.. (2013). A Chemically Synthesized Capture Agent Enables the Selective, Sensitive, and Robust Electrochemical Detection of Anthrax Protective Antigen. ACS Nano. 7(10). 9452–9460. 47 indexed citations
15.
Nag, Arundhati, et al.. (2013). A Chemical Epitope‐Targeting Strategy for Protein Capture Agents: The Serine 474 Epitope of the Kinase Akt2. Angewandte Chemie International Edition. 52(52). 13975–13979. 16 indexed citations
16.
17.
Nag, Arundhati, et al.. (2013). A Chemical Epitope‐Targeting Strategy for Protein Capture Agents: The Serine 474 Epitope of the Kinase Akt2. Angewandte Chemie. 125(52). 14225–14229. 5 indexed citations
18.
Millward, Steven W., Gabriel A. Kwong, Suresh M. Pitram, et al.. (2011). Iterative in Situ Click Chemistry Assembles a Branched Capture Agent and Allosteric Inhibitor for Akt1. Journal of the American Chemical Society. 133(45). 18280–18288. 46 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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