Aubrey S. Smith

1.0k total citations
18 papers, 560 citations indexed

About

Aubrey S. Smith is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Aubrey S. Smith has authored 18 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Aubrey S. Smith's work include CAR-T cell therapy research (14 papers), Immunotherapy and Immune Responses (8 papers) and Immune Cell Function and Interaction (8 papers). Aubrey S. Smith is often cited by papers focused on CAR-T cell therapy research (14 papers), Immunotherapy and Immune Responses (8 papers) and Immune Cell Function and Interaction (8 papers). Aubrey S. Smith collaborates with scholars based in United States, Poland and Russia. Aubrey S. Smith's co-authors include Chrystal M. Paulos, Megan M. Wyatt, Hannah M. Knochelmann, Connor J. Dwyer, Guillermo O. Rangel Rivera, Shikhar Mehrotra, Jessica E. Thaxton, Michelle H. Nelson, Mark P. Rubinstein and Dimitrios C. Arhontoulis and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Aubrey S. Smith

16 papers receiving 550 citations

Peers

Aubrey S. Smith

ONCOL

IMMUN

GENET

Paris Kosti United Kingdom

Genevieve M. Gerhard United States

Stina L. Wickström Sweden

Kirsten L. Todd Australia

Emma V. Petley Australia

Amanda X. Y. Chen Australia

Dana L. Schalk United States

Jacob S. Bowers United States

Valeria Leuci Italy

Déborah Meyran Australia

Paris Kosti United Kingdom

Aubrey S. Smith

395 ×0.9

ONCOL

232 ×0.7

IMMUN

185 ×1.3

135 ×1.4

95 ×1.2

GENET

Citations per year, relative to Aubrey S. Smith Aubrey S. Smith (= 1×) peers Paris Kosti

Countries citing papers authored by Aubrey S. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Aubrey S. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aubrey S. Smith. 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 Aubrey S. Smith. The network helps show where Aubrey S. Smith may publish in the future.

Co-authorship network of co-authors of Aubrey S. Smith

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

All Works

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18 of 18 papers shown

Knochelmann, Hannah M., Megan M. Wyatt, Natalie K. Horvat, et al.. (2025). Adoptively transferred Th17 cells cooperate with host B cells to achieve durable tumor immunity. Cancer Cell. 43(9). 1697–1713.e8. 1 indexed citations

Alapan, Yunus, Lauren F. Sestito, Megha Khosla, et al.. (2023). Adhesion analysis via a tumor vasculature-like microfluidic device identifies CD8+ T cells with enhanced tumor homing to improve cell therapy. Cell Reports. 42(3). 112175–112175. 10 indexed citations

Rivera, Guillermo O. Rangel, Connor J. Dwyer, Hannah M. Knochelmann, et al.. (2023). Progressively Enhancing Stemness of Adoptively Transferred T Cells with PI3Kδ Blockade Improves Metabolism and Antitumor Immunity. Cancer Research. 84(1). 69–83. 16 indexed citations

Wyatt, Megan M., Michelle H. Nelson, Andrew Medvec, et al.. (2023). Augmenting TCR signal strength and ICOS costimulation results in metabolically fit and therapeutically potent human CAR Th17 cells. Molecular Therapy. 31(7). 2120–2131. 10 indexed citations

Smith, Aubrey S., Hannah M. Knochelmann, Megan M. Wyatt, et al.. (2022). B cells imprint adoptively transferred CD8 ⁺ T cells with enhanced tumor immunity. Journal for ImmunoTherapy of Cancer. 10(1). e003078–e003078. 12 indexed citations

Henderson, Duncan, et al.. (2022). Prognostic factors following resection of intracranial metastases. Surgical Neurology International. 13. 219–219. 4 indexed citations

Knochelmann, Hannah M., Megan M. Wyatt, Aubrey S. Smith, et al.. (2021). Modeling ex vivo tumor-infiltrating lymphocyte expansion from established solid malignancies. OncoImmunology. 10(1). 1959101–1959101. 5 indexed citations

Rivera, Guillermo O. Rangel, Hannah M. Knochelmann, Connor J. Dwyer, et al.. (2021). Fundamentals of T Cell Metabolism and Strategies to Enhance Cancer Immunotherapy. Frontiers in Immunology. 12. 645242–645242. 84 indexed citations

Smith, Aubrey S., et al.. (2021). 9 BRAF mutations are associated with T-helper cell infiltration and polarization in melanoma. SHILAP Revista de lepidopterología. A9–A9. 2 indexed citations

10.

Dwyer, Connor J., Dimitrios C. Arhontoulis, Guillermo O. Rangel Rivera, et al.. (2020). Ex vivo blockade of PI3K gamma or delta signaling enhances the antitumor potency of adoptively transferred CD8 ⁺ T cells. European Journal of Immunology. 50(9). 1386–1399. 48 indexed citations

11.

Knochelmann, Hannah M., Connor J. Dwyer, Aubrey S. Smith, et al.. (2020). IL-6 fuels durable memory for Th17 cell-mediated responses to tumors. The Journal of Immunology. 204(1_Supplement). 246.4–246.4.

12.

Wyatt, Megan M., Stefanie R. Bailey, Hannah M. Knochelmann, et al.. (2020). CD26 enzymatic activity modulates efficient migration of adoptively transferred cancer-specific T cells to solid tumors. The Journal of Immunology. 204(1_Supplement). 72.17–72.17. 1 indexed citations

13.

Wyatt, Megan M., Stefanie R. Bailey, Michelle H. Nelson, et al.. (2020). 513 CD26 enzymatic activity modulates efficient migration of adoptively transferred T cells to solid tumors. SHILAP Revista de lepidopterología. A315.2–A316.

14.

Dwyer, Connor J., Hannah M. Knochelmann, Aubrey S. Smith, et al.. (2019). Fueling Cancer Immunotherapy With Common Gamma Chain Cytokines. Frontiers in Immunology. 10. 263–263. 72 indexed citations

15.

Knochelmann, Hannah M., Aubrey S. Smith, Connor J. Dwyer, et al.. (2018). CAR T Cells in Solid Tumors: Blueprints for Building Effective Therapies. Frontiers in Immunology. 9. 1740–1740. 150 indexed citations

16.

Smith, Aubrey S., et al.. (2018). Recovery of Benthic Microalgal Biomass and Community Structure Following Beach Renourishment at Folly Beach, South Carolina. Estuaries and Coasts. 42(1). 157–172. 11 indexed citations

17.

Bailey, Stefanie R., Michelle H. Nelson, Kinga Majchrzak, et al.. (2017). Human CD26high T cells elicit tumor immunity against multiple malignancies via enhanced migration and persistence. Nature Communications. 8(1). 1961–1961. 73 indexed citations

18.

Bowers, Jacob S., Kinga Majchrzak, Michelle H. Nelson, et al.. (2017). PI3Kδ Inhibition Enhances the Antitumor Fitness of Adoptively Transferred CD8+ T Cells. Frontiers in Immunology. 8. 1221–1221. 61 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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