Brian C. Miller

8.1k total citations · 1 hit paper
24 papers, 2.5k citations indexed

About

Brian C. Miller is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Brian C. Miller has authored 24 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Brian C. Miller's work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Brian C. Miller is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Brian C. Miller collaborates with scholars based in United States, Japan and United Kingdom. Brian C. Miller's co-authors include Herbert W. Virgin, Noboru Mizushima, Zijiang Zhao, Ken Cadwell, W. Nicholas Haining, Kathleen B. Yates, Arlene H. Sharpe, Martin W. LaFleur, Kevin Bi and Robert T. Manguso and has published in prestigious journals such as Nature, Nature Immunology and The Journal of Immunology.

In The Last Decade

Brian C. Miller

22 papers receiving 2.5k citations

Hit Papers

In vivo CRISPR screening identifies Ptpn2 as a cancer imm... 2017 2026 2020 2023 2017 250 500 750

Peers

Brian C. Miller
Dorothee Schmid United States
Hye-Ra Lee South Korea
Lilin Ye China
Gislâine A. Martins United States
Monique Gannagé Switzerland
Brian C. Miller
Citations per year, relative to Brian C. Miller Brian C. Miller (= 1×) peers Josef Mautner

Countries citing papers authored by Brian C. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Miller. 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 Brian C. Miller. The network helps show where Brian C. Miller may publish in the future.

Co-authorship network of co-authors of Brian C. Miller

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

All Works

20 of 20 papers shown
1.
Georgiev, Peter, SeongJun Han, Thao H. Nguyen, et al.. (2024). Age-Associated Contraction of Tumor-Specific T Cells Impairs Antitumor Immunity. Cancer Immunology Research. 12(11). 1525–1541. 5 indexed citations
2.
Jensen, Jeffrey L., Brian C. Miller, David W. Hillman, et al.. (2024). Clonal Hematopoiesis and Clinical Outcomes in Metastatic Castration-Resistant Prostate Cancer Patients Given Androgen Receptor Pathway Inhibitors (Alliance A031201). Clinical Cancer Research. 30(21). 4910–4919. 2 indexed citations
3.
Miller, Brian C., Rose Al Abosy, Jenna L. Collier, et al.. (2023). Abstract 6362: Overcoming resistance to immunotherapy due to loss of antigen presentation. Cancer Research. 83(7_Supplement). 6362–6362.
4.
Ware, Kathryn E., Beatrice C. Thomas, Maya U. Sheth, et al.. (2023). A synthetic lethal screen for Snail-induced enzalutamide resistance identifies JAK/STAT signaling as a therapeutic vulnerability in prostate cancer. Frontiers in Molecular Biosciences. 10. 1104505–1104505. 6 indexed citations
5.
Bride, Brian E., Ginny Sprang, Alison Eisel Hendricks, et al.. (2023). Principles for secondary traumatic stress-responsive practice: An expert consensus approach.. Psychological Trauma Theory Research Practice and Policy. 16(8). 1301–1308. 3 indexed citations
6.
Collins, Natalie B., Rose Al Abosy, Brian C. Miller, et al.. (2022). PI3K activation allows immune evasion by promoting an inhibitory myeloid tumor microenvironment. Journal for ImmunoTherapy of Cancer. 10(3). e003402–e003402. 47 indexed citations
7.
LaFleur, Martin W., Thao H. Nguyen, Brian C. Miller, et al.. (2019). PTPN2 regulates the generation of exhausted CD8+ T cell subpopulations and restrains tumor immunity. Nature Immunology. 20(10). 1335–1347. 162 indexed citations
8.
Miller, Brian C., Debattama R. Sen, Rose Al Abosy, et al.. (2019). Abstract 2701: Functionally specialized subsets of exhausted CD8+ T cells mediate tumor control and differentially respond to checkpoint blockade. Cancer Research. 79(13_Supplement). 2701–2701. 3 indexed citations
9.
Manguso, Robert T., Hans W. Pope, Margaret D. Zimmer, et al.. (2017). In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature. 547(7664). 413–418. 774 indexed citations breakdown →
10.
Haun, Jolie, et al.. (2017). Clinical Practice Informs Secure Messaging Benefits and Best Practices. Applied Clinical Informatics. 8(4). 1003–1011. 12 indexed citations
11.
Miller, Brian C. & Marcela V. Maus. (2015). CD19-Targeted CAR T Cells: A New Tool in the Fight against B Cell Malignancies. Oncology Research and Treatment. 38(12). 683–690. 25 indexed citations
12.
DeSelm, Carl J., Brian C. Miller, Wei Zou, et al.. (2011). Autophagy Proteins Regulate the Secretory Component of Osteoclastic Bone Resorption. Developmental Cell. 21(5). 966–974. 370 indexed citations
13.
Santamaría, Rodrigo, Lisa Rizzetto, Michael Bromley, et al.. (2011). Systems biology of infectious diseases: a focus on fungal infections. Immunobiology. 216(11). 1212–1227. 30 indexed citations
14.
DeSelm, Carl J., Brian C. Miller, Wandy L. Beatty, et al.. (2011). Autophagy Proteins Regulate the Secretory Component of Osteoclastic Bone Resorption. Developmental Cell. 21(6). 1179–1179. 14 indexed citations
15.
Stephenson, Linda M., Brian C. Miller, Aylwin Ng, et al.. (2009). Identification ofAtg5-dependent transcriptional changes and increases in mitochondrial mass inAtg5-deficient T lymphocytes. Autophagy. 5(5). 625–635. 158 indexed citations
16.
Zhao, Zijiang, Blima Fux, Ildikò Rita Dunay, et al.. (2008). Autophagosome-Independent Essential Function for the Autophagy Protein Atg5 in Cellular Immunity to Intracellular Pathogens. Cell Host & Microbe. 4(5). 458–469. 343 indexed citations
17.
Miller, Brian C., Zijiang Zhao, Linda M. Stephenson, et al.. (2008). The autophagy geneATG5plays an essential role in B lymphocyte development. Autophagy. 4(3). 309–314. 276 indexed citations
18.
Zhao, Zijiang, Larissa B. Thackray, Brian C. Miller, et al.. (2007). Coronavirus Replication Does Not Require the Autophagy GeneATG5. Autophagy. 3(6). 581–585. 159 indexed citations
19.
Podowski, Raf M., Brian C. Miller, & Wyeth W. Wasserman. (2006). Visualization of complementary systems biology data with parallel heatmaps. IBM Journal of Research and Development. 50(6). 575–581. 4 indexed citations
20.
Gottlieb, Assaf, et al.. (2000). Anti-CD11a treatment for psoriasis concurrently increases circulating T-cells and decreases plaque T-cells, consistent with inhibition of cutaneous T-cell trafficking.. Journal of Investigative Dermatology. 115(2). 333–333. 50 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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