Anthony F. Daniyan

1.7k total citations
24 papers, 1.0k citations indexed

About

Anthony F. Daniyan is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Anthony F. Daniyan has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 9 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Anthony F. Daniyan's work include CAR-T cell therapy research (16 papers), Virus-based gene therapy research (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Anthony F. Daniyan is often cited by papers focused on CAR-T cell therapy research (16 papers), Virus-based gene therapy research (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Anthony F. Daniyan collaborates with scholars based in United States and Canada. Anthony F. Daniyan's co-authors include Renier J. Brentjens, Terence J. Purdon, Dayenne G. van Leeuwen, Andrea V. Lopez, Xinghuo Li, Nicholas F. Kuhn, Kevin J. Curran, H. Park, Kenneth Cheung and Matthew H. Spitzer and has published in prestigious journals such as Nature Communications, Blood and Cancer Cell.

In The Last Decade

Anthony F. Daniyan

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony F. Daniyan United States 12 784 363 326 241 237 24 1.0k
Maria‐Luisa Schubert Germany 20 1.0k 1.3× 335 0.9× 397 1.2× 291 1.2× 339 1.4× 40 1.2k
Virna Marin Italy 14 948 1.2× 534 1.5× 338 1.0× 217 0.9× 374 1.6× 26 1.1k
Reona Sakemura United States 13 717 0.9× 261 0.7× 249 0.8× 261 1.1× 227 1.0× 54 879
Brandon Ballard United States 10 847 1.1× 311 0.9× 326 1.0× 226 0.9× 259 1.1× 16 1.0k
Yang Feng United States 10 921 1.2× 415 1.1× 365 1.1× 270 1.1× 265 1.1× 25 1.2k
Tatsunori Goto Japan 14 435 0.6× 240 0.7× 216 0.7× 163 0.7× 146 0.6× 48 723
Hiroki Torikai United States 17 957 1.2× 634 1.7× 577 1.8× 235 1.0× 452 1.9× 32 1.4k
Margherita Norelli Italy 6 1.2k 1.5× 458 1.3× 388 1.2× 395 1.6× 352 1.5× 9 1.5k
Nicoletta Cieri Italy 13 786 1.0× 708 2.0× 295 0.9× 149 0.6× 237 1.0× 31 1.3k
Yuriko Fujita Japan 7 1.0k 1.3× 418 1.2× 465 1.4× 277 1.1× 450 1.9× 19 1.3k

Countries citing papers authored by Anthony F. Daniyan

Since Specialization
Citations

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

Fields of papers citing papers by Anthony F. Daniyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony F. Daniyan. 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 Anthony F. Daniyan. The network helps show where Anthony F. Daniyan may publish in the future.

Co-authorship network of co-authors of Anthony F. Daniyan

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony F. Daniyan. A scholar is included among the top collaborators of Anthony F. Daniyan 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 Anthony F. Daniyan. Anthony F. Daniyan 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.
Mi, Xiaoli, Vinagolu K. Rajasekhar, Sarah Yoo, et al.. (2024). Augmenting CAR T-cell Functions with LIGHT. Cancer Immunology Research. 12(10). 1361–1379. 1 indexed citations
2.
Mathew, S, et al.. (2024). Enhancing CAR T Cell Efficacy By Modulating PI3K Signaling Via a Synthetic CD28 Rheostat. Blood. 144(Supplement 1). 4802–4802. 1 indexed citations
3.
Mathew, S, Sarah Yoo, Takeshi Fujino, et al.. (2024). Developing an Optimal Fully-Human CD371-Targeting IL-18 Secreting CAR T Cell for the Treatment of Acute Myeloid Leukemia. Blood. 144(Supplement 1). 3406–3406.
4.
Dao, Tao, Guangyan Xiong, Tatyana Korontsvit, et al.. (2023). A dual-receptor T-cell platform with Ab-TCR and costimulatory receptor achieves specificity and potency against AML. Blood. 143(6). 507–521. 18 indexed citations
5.
Sottile, Rosa, M. Kazim Panjwani, Colleen M. Lau, et al.. (2021). Human cytomegalovirus expands a CD8 + T cell population with loss of BCL11B expression and gain of NK cell identity. Science Immunology. 6(63). eabe6968–eabe6968. 36 indexed citations
6.
Zhang, Allen W., Sejal Morjaria, Anna Kaltsas, et al.. (2021). The Effect of Neutropenia and Filgrastim (G-CSF) on Cancer Patients With Coronavirus Disease 2019 (COVID-19) Infection. Clinical Infectious Diseases. 74(4). 567–574. 24 indexed citations
7.
Stahl, Maximilian, Kamal Menghrajani, Andriy Derkach, et al.. (2021). Clinical and molecular predictors of response and survival following venetoclax therapy in relapsed/refractory AML. Blood Advances. 5(5). 1552–1564. 108 indexed citations
8.
Jee, Justin, Aaron J. Stonestrom, Sean M. Devlin, et al.. (2021). Oncologic immunomodulatory agents in patients with cancer and COVID-19. Scientific Reports. 11(1). 4814–4814. 10 indexed citations
9.
Zhang, Tiantian, Zhengming Chen, George Zhang, et al.. (2020). Functional impact of cancer patient‐associated Bcl‐xL mutations. MedComm. 1(3). 328–337. 3 indexed citations
10.
Li, Xinghuo, Anthony F. Daniyan, Andrea V. Lopez, Terence J. Purdon, & Renier J. Brentjens. (2020). Cytokine IL-36γ improves CAR T-cell functionality and induces endogenous antitumor response. Leukemia. 35(2). 506–521. 50 indexed citations
11.
Kuhn, Nicholas F., et al.. (2020). CD103+ cDC1 and endogenous CD8+ T cells are necessary for improved CD40L-overexpressing CAR T cell antitumor function. Nature Communications. 11(1). 6171–6171. 29 indexed citations
12.
Smith, Eric L., Sham Mailankody, Mette Stæhr, et al.. (2019). BCMA-Targeted CAR T-cell Therapy plus Radiotherapy for the Treatment of Refractory Myeloma Reveals Potential Synergy. Cancer Immunology Research. 7(7). 1047–1053. 67 indexed citations
13.
Daniyan, Anthony F. & Renier J. Brentjens. (2019). CARs of the future. American Journal of Hematology. 94(S1). S55–S58. 9 indexed citations
14.
Kuhn, Nicholas F., Terence J. Purdon, Dayenne G. van Leeuwen, et al.. (2019). CD40 Ligand-Modified Chimeric Antigen Receptor T Cells Enhance Antitumor Function by Eliciting an Endogenous Antitumor Response. Cancer Cell. 35(3). 473–488.e6. 187 indexed citations
15.
Avanzi, Mauro P., Oladapo Yeku, Xinghuo Li, et al.. (2018). Engineered Tumor-Targeted T Cells Mediate Enhanced Anti-Tumor Efficacy Both Directly and through Activation of the Endogenous Immune System. Cell Reports. 23(7). 2130–2141. 268 indexed citations
16.
Barker, Christopher A., et al.. (2018). Cytokine release syndrome after radiation therapy: case report and review of the literature. Journal for ImmunoTherapy of Cancer. 6(1). 1–1. 42 indexed citations
17.
Daniyan, Anthony F. & Renier J. Brentjens. (2017). Hiding in plain sight: immune escape in the era of targeted T-cell-based immunotherapies. Nature Reviews Clinical Oncology. 14(6). 333–334. 7 indexed citations
18.
Rafiq, Sarwish, Terence J. Purdon, Anthony F. Daniyan, et al.. (2016). Optimized T-cell receptor-mimic chimeric antigen receptor T cells directed toward the intracellular Wilms Tumor 1 antigen. Leukemia. 31(8). 1788–1797. 128 indexed citations
19.
Daniyan, Anthony F. & Renier J. Brentjens. (2016). At the Bench: Chimeric antigen receptor (CAR) T cell therapy for the treatment of B cell malignancies. Journal of Leukocyte Biology. 100(6). 1255–1264. 8 indexed citations
20.
Tran, Van H., et al.. (2006). Bifenthrin activates homotypic aggregation in human T-cell lines.. PubMed. 12(3). BR87–94. 11 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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