Jason Sagert

1.1k total citations
21 papers, 566 citations indexed

About

Jason Sagert is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jason Sagert has authored 21 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Oncology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jason Sagert's work include CAR-T cell therapy research (9 papers), CRISPR and Genetic Engineering (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Jason Sagert is often cited by papers focused on CAR-T cell therapy research (9 papers), CRISPR and Genetic Engineering (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Jason Sagert collaborates with scholars based in United States, Poland and Canada. Jason Sagert's co-authors include J. Herbert Waite, Bob S. Carter, Genevieve M. Gerhard, Bryan D. Choi, Amanda A. Bouffard, Ana P. Castaño, William T. Curry, Stefanie R. Bailey, Mark B. Leick and Andrea Schmidts and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jason Sagert

20 papers receiving 556 citations

Peers

Jason Sagert

ONCOL

GENET

IMMUN

Monica Salamone Italy

Г. П. Пинаев Russia

Yutaka Kariya Japan

Aida Rodríguez Spain

Annika Henrich Germany

Jianjun Ma China

Verónica A. Burzio Chile

R. Kramer United States

Keun Pil Kim South Korea

Samuel Ogueta Spain

Monica Salamone Italy

Jason Sagert

216 ×0.8

ONCOL

290 ×1.3

69 ×0.6

32 ×0.4

GENET

65 ×0.8

IMMUN

Citations per year, relative to Jason Sagert Jason Sagert (= 1×) peers Monica Salamone

Countries citing papers authored by Jason Sagert

Since Specialization

Citations

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

Fields of papers citing papers by Jason Sagert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Sagert

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Sagert. A scholar is included among the top collaborators of Jason Sagert 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 Jason Sagert. Jason Sagert 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

Patel, Chirag H., Yi Dong, Navid Koleini, et al.. (2023). TSC2 S1365A mutation potently regulates CD8+ T cell function and differentiation and improves adoptive cellular cancer therapy. JCI Insight. 8(21). 8 indexed citations

Pham, Minh Thu, et al.. (2023). 264 Development of allogeneic, potency-edited, anti-GPC3 CAR-T cells for the treatment of hepatocellular carcinoma. SHILAP Revista de lepidopterología. A304–A304.

Marques‐Piubelli, Mario L., Luisa M. Solis Soto, Swaminathan P. Iyer, et al.. (2021). CD70 Expression in Mature T-Cell Lymphomas. Blood. 138(Supplement 1). 4493–4493. 2 indexed citations

Dequéant, Mary‐Lee, Jason Sagert, Hui Yu, et al.. (2021). Abstract 1537: CD70 knockout: A novel approach to augment CAR-T cell function. Cancer Research. 81(13_Supplement). 1537–1537. 4 indexed citations

Li, Zejun, Minh Thu Pham, Luke Hanley, et al.. (2020). Abstract 3243: Allogeneic anti-PTK7 CAR-T cells for the treatment of solid tumors. Cancer Research. 80(16_Supplement). 3243–3243. 4 indexed citations

Sagert, Jason, et al.. (2019). Abstract 1428: Allogeneic CRISPR/Cas9 gene-edited CAR-T cells targeting CD33 show potent preclinical activity against AML cells. Cancer Research. 79(13_Supplement). 1428–1428. 5 indexed citations

Choi, Bryan D., Xiaoling Yu, Ana P. Castaño, et al.. (2019). CRISPR-Cas9 disruption of PD-1 enhances activity of universal EGFRvIII CAR T cells in a preclinical model of human glioblastoma. Journal for ImmunoTherapy of Cancer. 7(1). 304–304. 228 indexed citations

Sagert, Jason, Thao Nguyen, Matthias John, et al.. (2018). Abstract 2551: Allogeneic CRISPR engineered anti CD70 CAR T cells demonstrate potent preclinical activity against both solid and hematological cancer cells. Cancer Research. 78(13_Supplement). 2551–2551. 1 indexed citations

Kalaitzidis, Demetrios, et al.. (2018). Preclinical Development of CTX120, an Allogeneic CAR-T Cell Targeting Bcma. Blood. 132(Supplement 1). 1921–1921. 20 indexed citations

10.

Singh, Shweta, Jason Sagert, Michael Krimm, et al.. (2016). Abstract 2975: Development of a probody drug conjugate (PDC) targeting CD71 for the treatment of solid tumors and lymphomas. Cancer Research. 76(14_Supplement). 2975–2975. 5 indexed citations

11.

Pandya, Kinnari, Debra Wyatt, Brian M. Gallagher, et al.. (2015). PKCα Attenuates Jagged-1–Mediated Notch Signaling in ErbB-2–Positive Breast Cancer to Reverse Trastuzumab Resistance. Clinical Cancer Research. 22(1). 175–186. 31 indexed citations

12.

Sagert, Jason, Jim West, Chihunt Wong, et al.. (2014). Abstract 2665: Transforming Notch ligands into tumor-antigen targets: A Probody-Drug Conjugate (PDC) targeting Jagged 1 and Jagged 2. Cancer Research. 74(19_Supplement). 2665–2665. 6 indexed citations

13.

Vasiljeva, Olga, Jason Sagert, James W. West, et al.. (2014). Abstract 2664: An anti-Jagged-1/-2 Probody demonstrates inhibition of Jagged-dependent Notch signaling and is activated in multiple types of tumors. Cancer Research. 74(19_Supplement). 2664–2664. 2 indexed citations

14.

Kovačević, Jovana, Jason Sagert, Anna Woźniak-Biel, Matthew W. Gilmour, & Kevin J. Allen. (2013). Antimicrobial resistance and co-selection phenomenon in Listeria spp. recovered from food and food production environments. Food Microbiology. 34(2). 319–327. 53 indexed citations

15.

Desnoyers, Luc, Annie Yang, Tony W. Liang, et al.. (2013). Abstract 4570: Development of a proteolytically activatable EGFR Probody for cancer therapy.. Cancer Research. 73(8_Supplement). 4570–4570. 1 indexed citations

16.

Sagert, Jason, James W. West, Olga Vasiljeva, et al.. (2013). Abstract C158: Tumor-specific inhibition of jagged-dependent notch signaling using a Probody™ therapeutic.. Molecular Cancer Therapeutics. 12(11_Supplement). C158–C158. 3 indexed citations

17.

Sagert, Jason & J. Herbert Waite. (2009). Hyperunstable matrix proteins in the byssus of Mytilus galloprovincialis. Journal of Experimental Biology. 212(14). 2224–2236. 51 indexed citations

18.

Zhao, Hua, Jason Sagert, Dong Soo Hwang, & J. Herbert Waite. (2009). Glycosylated Hydroxytryptophan in a Mussel Adhesive Protein from Perna viridis. Journal of Biological Chemistry. 284(35). 23344–23352. 39 indexed citations

19.

Hassenkam, Tue, Thomas Gutsmann, Paul K. Hansma, Jason Sagert, & J. Herbert Waite. (2004). Giant Bent-Core Mesogens in the Thread Forming Process of Marine Mussels. Biomacromolecules. 5(4). 1351–1355. 49 indexed citations

20.

Stratford, Suzanne, William S. Barnes, Jason Sagert, et al.. (2001). A leucine-rich repeat region is conserved in pollen extensin-like (Pex) proteins in monocots and dicots. Plant Molecular Biology. 46(1). 43–56. 41 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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