Cory M. Ayres

887 total citations
19 papers, 634 citations indexed

About

Cory M. Ayres is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Cory M. Ayres has authored 19 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Molecular Biology. Recurrent topics in Cory M. Ayres's work include T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (11 papers) and Immune Cell Function and Interaction (9 papers). Cory M. Ayres is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (11 papers) and Immune Cell Function and Interaction (9 papers). Cory M. Ayres collaborates with scholars based in United States, Germany and Switzerland. Cory M. Ayres's co-authors include Brian M. Baker, Steven A. Corcelli, Pramod K. Srivastava, Tatiana Blanchard, Ion Măndoiu, Jorge Duitama, John Sidney, Alessandro Sette, Arpita Pawashe and Fei Duan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Cory M. Ayres

18 papers receiving 620 citations

Peers

Cory M. Ayres

IMMUN

ONCOL

RNMI

HuiSong Pak Switzerland

Stefan Audehm Germany

Eva Bräunlein Germany

Maria Bonsack Germany

Jennifer G. Abelin United States

Krystel Vincent Canada

Ann Murphy United States

Darren Santiago United States

Florian Huber Switzerland

Erlend Strønen Norway

HuiSong Pak Switzerland

Cory M. Ayres

553 ×1.1

IMMUN

641 ×2.0

333 ×1.2

ONCOL

208 ×1.2

RNMI

30 ×1.0

Citations per year, relative to Cory M. Ayres Cory M. Ayres (= 1×) peers HuiSong Pak

Countries citing papers authored by Cory M. Ayres

Since Specialization

Citations

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

Fields of papers citing papers by Cory M. Ayres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cory M. Ayres

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

All Works

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19 of 19 papers shown

Ma, Jiaqi, Cory M. Ayres, Smita S. Chandran, et al.. (2025). Dynamic allostery in the peptide/MHC complex enables TCR neoantigen selectivity. Nature Communications. 16(1). 849–849. 4 indexed citations

Ayres, Cory M., et al.. (2025). HLA micropolymorphisms confine neoantigen conformational adaptability and guide T cell receptor selectivity. bioRxiv (Cold Spring Harbor Laboratory).

Ayres, Cory M., et al.. (2024). Enhanced T cell receptor specificity through framework engineering. Frontiers in Immunology. 15. 1345368–1345368. 3 indexed citations

Ayres, Cory M., Steven A. Corcelli, & Brian M. Baker. (2023). The Energetic Landscape of Catch Bonds in TCR Interfaces. The Journal of Immunology. 211(3). 325–332. 12 indexed citations

Custódio, Jean M. F., et al.. (2023). Structural and physical features that distinguish tumor-controlling from inactive cancer neoepitopes. Proceedings of the National Academy of Sciences. 120(51). e2312057120–e2312057120. 9 indexed citations

Ayres, Cory M. & Brian M. Baker. (2022). Peptide-dependent tuning of major histocompatibility complex motional properties and the consequences for cellular immunity. Current Opinion in Immunology. 76. 102184–102184. 6 indexed citations

Ma, Jiaqi, Cory M. Ayres, Lance M. Hellman, Jason R. Devlin, & Brian M. Baker. (2021). Dynamic allostery controls the peptide sensitivity of the Ly49C natural killer receptor. Journal of Biological Chemistry. 296. 100686–100686. 7 indexed citations

Smith, Angela R., Jesus A. Alonso, Cory M. Ayres, et al.. (2021). Structurally silent peptide anchor modifications allosterically modulate T cell recognition in a receptor-dependent manner. Proceedings of the National Academy of Sciences. 118(4). 26 indexed citations

Devlin, Jason R., Jesus A. Alonso, Cory M. Ayres, et al.. (2020). Structural dissimilarity from self drives neoepitope escape from immune tolerance. Nature Chemical Biology. 16(11). 1269–1276. 48 indexed citations

10.

Ayres, Cory M., et al.. (2020). Modeling the Binding Mechanism of a T Cell Receptor and Major Histocompatibility Complex. Biophysical Journal. 118(3). 245a–245a. 2 indexed citations

11.

Ayres, Cory M., Esam T. Abualrous, A.G. Bailey, et al.. (2019). Dynamically Driven Allostery in MHC Proteins: Peptide-Dependent Tuning of Class I MHC Global Flexibility. Frontiers in Immunology. 10. 966–966. 39 indexed citations

12.

Singh, Nishant K., Esam T. Abualrous, Cory M. Ayres, et al.. (2019). Geometrical characterization of T cell receptor binding modes reveals class‐specific binding to maximize access to antigen. Proteins Structure Function and Bioinformatics. 88(3). 503–513. 22 indexed citations

13.

Hellman, Lance M., Nishant K. Singh, Jesus A. Alonso, et al.. (2018). Improving T Cell Receptor On-Target Specificity via Structure-Guided Design. Molecular Therapy. 27(2). 300–313. 40 indexed citations

14.

Ayres, Cory M., Steven A. Corcelli, & Brian M. Baker. (2017). Peptide and Peptide-Dependent Motions in MHC Proteins: Immunological Implications and Biophysical Underpinnings. Frontiers in Immunology. 8. 935–935. 38 indexed citations

15.

Ayres, Cory M., Timothy P. Riley, Steven A. Corcelli, & Brian M. Baker. (2017). Modeling Sequence-Dependent Peptide Fluctuations in Immunologic Recognition. Journal of Chemical Information and Modeling. 57(8). 1990–1998. 11 indexed citations

16.

Riley, Timothy P., Cory M. Ayres, Lance M. Hellman, et al.. (2016). A generalized framework for computational design and mutational scanning of T-cell receptor binding interfaces. Protein Engineering Design and Selection. 29(12). 595–606. 20 indexed citations

17.

Ayres, Cory M., Daniel R. Scott, Steven A. Corcelli, & Brian M. Baker. (2016). Differential utilization of binding loop flexibility in T cell receptor ligand selection and cross-reactivity. Scientific Reports. 6(1). 25070–25070. 22 indexed citations

18.

Duan, Fei, Jorge Duitama, Sahar Al Seesi, et al.. (2014). Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity. The Journal of Experimental Medicine. 211(11). 2231–2248. 279 indexed citations

19.

Hawse, William F., et al.. (2013). Peptide Modulation of Class I Major Histocompatibility Complex Protein Molecular Flexibility and the Implications for Immune Recognition*. Journal of Biological Chemistry. 288(34). 24372–24381. 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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