Todd D. Armstrong

6.4k total citations · 1 hit paper
54 papers, 3.3k citations indexed

About

Todd D. Armstrong is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Todd D. Armstrong has authored 54 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 39 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Todd D. Armstrong's work include Immunotherapy and Immune Responses (35 papers), Cancer Immunotherapy and Biomarkers (19 papers) and CAR-T cell therapy research (17 papers). Todd D. Armstrong is often cited by papers focused on Immunotherapy and Immune Responses (35 papers), Cancer Immunotherapy and Biomarkers (19 papers) and CAR-T cell therapy research (17 papers). Todd D. Armstrong collaborates with scholars based in United States, Croatia and Germany. Todd D. Armstrong's co-authors include Elizabeth M. Jaffee, Leisha A. Emens, Virginia K. Clements, Suzanne Ostrand‐Rosenberg, Theodore Kouo, Lanqing Huang, Alexandra B. Pucsek, Sara Solt, Lukas W. Pfannenstiel and Elizabeth A. Manning and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Todd D. Armstrong

53 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Galectin-3 Shapes Antitumor Immune Responses by Suppressing CD8+ T Cells via LAG-3 and Inhibiting Expansion of Plasmacytoid Dendritic Cells

2015 415 citations Theodore Kouo, Lanqing Huang et al. Cancer Immunology Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd D. Armstrong United States	29	2.3k	2.0k	843	232	230	54	3.3k
Eric R. Lutz United States	15	2.3k 1.0×	2.6k 1.3×	673 0.8×	307 1.3×	298 1.3×	37	3.5k
Susana Inogés Spain	28	1.8k 0.8×	1.2k 0.6×	912 1.1×	163 0.7×	238 1.0×	65	3.0k
Hung T. Khong United States	25	1.7k 0.8×	1.9k 1.0×	980 1.2×	330 1.4×	211 0.9×	71	3.0k
Ainhoa Arina United States	28	2.7k 1.2×	2.3k 1.2×	1.1k 1.3×	363 1.6×	486 2.1×	50	4.2k
Andrei I. Chapoval United States	25	3.4k 1.5×	2.0k 1.0×	645 0.8×	183 0.8×	190 0.8×	60	4.4k
Dana R. Leach United States	7	2.4k 1.1×	2.5k 1.2×	631 0.7×	180 0.8×	294 1.3×	8	3.5k
Natalia Aptsiauri Spain	31	1.9k 0.9×	1.6k 0.8×	726 0.9×	175 0.8×	200 0.9×	55	2.9k
Arantza Azpilikueta Spain	26	1.8k 0.8×	1.6k 0.8×	438 0.5×	144 0.6×	125 0.5×	47	2.4k
William L. Redmond United States	28	2.3k 1.0×	1.9k 1.0×	593 0.7×	217 0.9×	508 2.2×	79	3.3k
Todd T. Moore United States	12	1.4k 0.6×	1.8k 0.9×	686 0.8×	373 1.6×	257 1.1×	17	2.8k

Countries citing papers authored by Todd D. Armstrong

Since Specialization

Citations

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

Fields of papers citing papers by Todd D. Armstrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd D. Armstrong. 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 Todd D. Armstrong. The network helps show where Todd D. Armstrong may publish in the future.

Co-authorship network of co-authors of Todd D. Armstrong

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

All Works

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20 of 20 papers shown

Zabransky, Daniel J., Yash Chhabra, Mitchell E. Fane, et al.. (2024). Fibroblasts in the Aged Pancreas Drive Pancreatic Cancer Progression. Cancer Research. 84(8). 1221–1236. 13 indexed citations

Huff, Amanda L., Jacob T. Mitchell, Emily F. Davis-Marcisak, et al.. (2023). CD4 T cell–activating neoantigens enhance personalized cancer vaccine efficacy. JCI Insight. 8(23). 14 indexed citations

Korangath, Preethi, James D. Barnett, Anirudh Sharma, et al.. (2020). Nanoparticle interactions with immune cells dominate tumor retention and induce T cell–mediated tumor suppression in models of breast cancer. Science Advances. 6(13). eaay1601–eaay1601. 131 indexed citations

Anders, Robert A., Elana J. Fertig, Alexander C. Hopkins, et al.. (2020). Inhibition of miR-21 Regulates Mutant KRAS Effector Pathways and Intercepts Pancreatic Ductal Adenocarcinoma Development. Cancer Prevention Research. 13(7). 569–582. 15 indexed citations

Hayley, S., Evanthia T. Roussos Torres, John-William Sidhom, et al.. (2019). A CD40 Agonist and PD-1 Antagonist Antibody Reprogram the Microenvironment of Nonimmunogenic Tumors to Allow T-cell–Mediated Anticancer Activity. Cancer Immunology Research. 7(3). 428–442. 94 indexed citations

Blair, Alex B., Victoria M. Kim, Stephen Muth, et al.. (2019). Dissecting the Stromal Signaling and Regulation of Myeloid Cells and Memory Effector T Cells in Pancreatic Cancer. Clinical Cancer Research. 25(17). 5351–5363. 64 indexed citations

Hopkins, Alexander C., Eric R. Lutz, Annie A. Wu, et al.. (2018). Combining STING-based neoantigen-targeted vaccine with checkpoint modulators enhances antitumor immunity in murine pancreatic cancer. JCI Insight. 3(20). 132 indexed citations

Foote, Jeremy B., Marleen Kok, James M. Leatherman, et al.. (2017). A STING Agonist Given with OX40 Receptor and PD-L1 Modulators Primes Immunity and Reduces Tumor Growth in Tolerized Mice. Cancer Immunology Research. 5(6). 468–479. 117 indexed citations

Kouo, Theodore, Lanqing Huang, Alexandra B. Pucsek, et al.. (2015). Galectin-3 Shapes Antitumor Immune Responses by Suppressing CD8+ T Cells via LAG-3 and Inhibiting Expansion of Plasmacytoid Dendritic Cells. Cancer Immunology Research. 3(4). 412–423. 415 indexed citations breakdown →

10.

Armstrong, Todd D., et al.. (2015). Nonviral Oncogenic Antigens and the Inflammatory Signals Driving Early Cancer Development as Targets for Cancer Immunoprevention. Clinical Cancer Research. 21(7). 1549–1557. 37 indexed citations

11.

Weiß, Vivian, Hong Song, Theodore Kouo, et al.. (2012). Trafficking of High Avidity HER-2/neu-Specific T Cells into HER-2/neu-Expressing Tumors after Depletion of Effector/Memory-Like Regulatory T Cells. PLoS ONE. 7(2). e31962–e31962. 34 indexed citations

12.

Pfannenstiel, Lukas W., Samuel S.K. Lam, Leisha A. Emens, Elizabeth M. Jaffee, & Todd D. Armstrong. (2010). Paclitaxel enhances early dendritic cell maturation and function through TLR4 signaling in mice. Cellular Immunology. 263(1). 79–87. 124 indexed citations

13.

Le, Dung T., Brian H. Ladle, Timothy Lee, et al.. (2010). CD8⁺Foxp3⁺ tumor infiltrating lymphocytes accumulate in the context of an effective anti‐tumor response. International Journal of Cancer. 129(3). 636–647. 18 indexed citations

14.

Kim, Peter, Todd D. Armstrong, Hong Song, et al.. (2008). Antibody association with HER-2/neu–targeted vaccine enhances CD8+ T cell responses in mice through Fc-mediated activation of DCs. Journal of Clinical Investigation. 118(5). 1700–1711. 66 indexed citations

15.

Armstrong, Todd D., et al.. (2008). Effective Depletion of Regulatory T Cells Allows the Recruitment of Mesothelin‐Specific CD8⁺ T Cells to the Antitumor Immune Response Against a Mesothelin‐Expressing Mouse Pancreatic Adenocarcinoma. Clinical and Translational Science. 1(3). 228–239. 58 indexed citations

16.

Murata, Satoshi, Brian H. Ladle, Peter Kim, et al.. (2006). OX40 Costimulation Synergizes with GM-CSF Whole-Cell Vaccination to Overcome Established CD8+ T Cell Tolerance to an Endogenous Tumor Antigen. The Journal of Immunology. 176(2). 974–983. 79 indexed citations

17.

Armstrong, Todd D., Virginia K. Clements, & Suzanne Ostrand‐Rosenberg. (1998). Class II-Transfected Tumor Cells Directly Present Endogenous Antigen to CD4+ T Cells In Vitro and Are APCs for Tumor-Encoded Antigens In Vivo. Journal of Immunotherapy. 21(3). 218–224. 31 indexed citations

18.

Ostrand‐Rosenberg, Suzanne, Beth A. Pulaski, Todd D. Armstrong, & Virginia K. Clements. (1998). Immunotherapy of Established Tumor with MHC Class II and B7.1 Cell-Based Tumor Vaccines. Advances in experimental medicine and biology. 451. 259–264. 9 indexed citations

19.

Armstrong, Todd D., et al.. (1998). Tumor antigen presentation: changing the rules. Cancer Immunology Immunotherapy. 46(2). 70–74. 38 indexed citations

20.

Clements, Virginia K., Sivasubramanian Baskar, Todd D. Armstrong, & Suzanne Ostrand‐Rosenberg. (1992). Invariant chain alters the malignant phenotype of MHC class II+ tumor cells. The Journal of Immunology. 149(7). 2391–2396. 56 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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