Kimberly McCoy

847 total citations
12 papers, 647 citations indexed

About

Kimberly McCoy is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Kimberly McCoy has authored 12 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Ecology and 4 papers in Genetics. Recurrent topics in Kimberly McCoy's work include Bacteriophages and microbial interactions (7 papers), Virus-based gene therapy research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Kimberly McCoy is often cited by papers focused on Bacteriophages and microbial interactions (7 papers), Virus-based gene therapy research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Kimberly McCoy collaborates with scholars based in United States, Japan and Spain. Kimberly McCoy's co-authors include Trevor Douglas, Wynetta Giles‐Davis, Hildegund C.J. Ertl, Masaki Uchida, Byeongdu Lee, Scott E. Hensley, Nia Tatsis, Dustin P. Patterson, Heini M. Miettinen and Wolfgang Weninger and has published in prestigious journals such as ACS Nano, The Journal of Immunology and The Journal of Physical Chemistry B.

In The Last Decade

Kimberly McCoy

12 papers receiving 636 citations

Peers

Countries citing papers authored by Kimberly McCoy

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly McCoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly McCoy

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Virus-Like Particles (VLPs) as a Platform for Hierarchical Compartmentalization 2020 ·Biomacromolecules ·(unknown), Masaki Uchida, Chi‐yu Fu, Benjamin LaFrance, (unknown), Kimberly McCoy, Trevor Douglas	31
2	In Vivo Packaging of Protein Cargo Inside of Virus-Like Particle P22 2018 ·Methods in molecular biology ·Kimberly McCoy, Trevor Douglas	6
3	Cargo Retention inside P22 Virus-Like Particles 2018 ·Biomacromolecules ·Kimberly McCoy, (unknown), Daniel Luque, Byeongdu Lee, Ethan Edwards, José R. Castón, Trevor Douglas	30
4	Templated Assembly of a Functional Ordered Protein Macromolecular Framework from P22 Virus-like Particles 2018 ·ACS Nano ·Kimberly McCoy, Masaki Uchida, Byeongdu Lee, Trevor Douglas	56
5	Sortase-Mediated Ligation as a Modular Approach for the Covalent Attachment of Proteins to the Exterior of the Bacteriophage P22 Virus-like Particle 2017 ·Bioconjugate Chemistry ·Dustin P. Patterson, Benjamin Schwarz, John Avera, (unknown), Matthew R. Hicks, (unknown), (unknown), Masaki Uchida, Kimberly McCoy, Trevor Douglas	34
6	Modular Self-Assembly of Protein Cage Lattices for Multistep Catalysis 2017 ·ACS Nano ·Masaki Uchida, Kimberly McCoy, Masafumi Fukuto, Lin Yang, Hideyuki Yoshimura, Heini M. Miettinen, Benjamin LaFrance, Dustin P. Patterson, Benjamin Schwarz, Jonathan A. Karty, Peter E. Prevelige, Byeongdu Lee, Trevor Douglas	95
7	Two-Dimensional Crystallization of P22 Virus-Like Particles 2016 ·The Journal of Physical Chemistry B ·Hideyuki Yoshimura, Ethan Edwards, Masaki Uchida, Kimberly McCoy, (unknown), Benjamin Schwarz, Dustin P. Patterson, Trevor Douglas	9
8	Programmed Self-Assembly of an Active P22-Cas9 Nanocarrier System 2016 ·Molecular Pharmaceutics ·Shefah Qazi, Heini M. Miettinen, Royce A. Wilkinson, Kimberly McCoy, Trevor Douglas, Blake Wiedenheft	70
9	Constructing catalytic antimicrobial nanoparticles by encapsulation of hydrogen peroxide producing enzyme inside the P22 VLP 2014 ·Journal of Materials Chemistry B ·Dustin P. Patterson, Kimberly McCoy, Carel Fijen, Trevor Douglas	33
10	Effect of Preexisting Immunity to Adenovirus Human Serotype 5 Antigens on the Immune Responses of Nonhuman Primates to Vaccine Regimens Based on Human- or Chimpanzee-Derived Adenovirus Vectors 2007 ·Journal of Virology ·Kimberly McCoy, Nia Tatsis, Birgit Korioth-Schmitz, Marcio O. Lasaro, Scott E. Hensley, Shih‐Wen Lin, Yan Li, Wynetta Giles‐Davis, (unknown), Dongming Zhou, Zhiquan Xiang, Norman L. Letvin, Hildegund C.J. Ertl	147
11	Dendritic Cell Maturation, but Not CD8+ T Cell Induction, Is Dependent on Type I IFN Signaling during Vaccination with Adenovirus Vectors 2005 ·The Journal of Immunology ·Scott E. Hensley, Wynetta Giles‐Davis, Kimberly McCoy, Wolfgang Weninger, Hildegund C.J. Ertl	60
12	Chimpanzee-origin adenovirus vectors as vaccine carriers 2005 ·Gene Therapy ·Nia Tatsis, (unknown), (unknown), Wynetta Giles‐Davis, Kimberly McCoy, Guangping Gao, James M. Wilson, Hildegund C.J. Ertl	76

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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