Daniel Abate‐Daga

3.3k total citations
43 papers, 1.4k citations indexed

About

Daniel Abate‐Daga is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Daniel Abate‐Daga has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 18 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Daniel Abate‐Daga's work include CAR-T cell therapy research (29 papers), Virus-based gene therapy research (18 papers) and Immunotherapy and Immune Responses (9 papers). Daniel Abate‐Daga is often cited by papers focused on CAR-T cell therapy research (29 papers), Virus-based gene therapy research (18 papers) and Immunotherapy and Immune Responses (9 papers). Daniel Abate‐Daga collaborates with scholars based in United States, Spain and Italy. Daniel Abate‐Daga's co-authors include Marco L. Davila, Steven A. Rosenberg, Hany Elmariah, Christine H. Chung, Kedar Kirtane, Zhili Zheng, Richard A. Morgan, María C. Ramello, William R. Burns and Kiran H. Lagisetty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Daniel Abate‐Daga

40 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Abate‐Daga United States 20 1.1k 555 419 340 251 43 1.4k
Christel Devaud Australia 16 1.4k 1.2× 1.0k 1.8× 441 1.1× 322 0.9× 292 1.2× 27 1.9k
Bruno L. Cadilha Germany 10 945 0.9× 560 1.0× 393 0.9× 183 0.5× 277 1.1× 16 1.3k
Zongliang Zhang China 16 748 0.7× 468 0.8× 350 0.8× 255 0.8× 225 0.9× 53 1.2k
Elmer Santos United States 15 1.1k 1.0× 627 1.1× 455 1.1× 426 1.3× 242 1.0× 23 1.7k
Kathryn M. Cappell United States 11 1.0k 0.9× 420 0.8× 587 1.4× 283 0.8× 249 1.0× 16 1.4k
Meng Wu China 12 513 0.5× 463 0.8× 485 1.2× 130 0.4× 190 0.8× 31 1.2k
Sid P. Kerkar United States 19 2.1k 1.9× 1.6k 2.8× 628 1.5× 637 1.9× 418 1.7× 36 2.7k
Giacomo Oliveira Italy 14 854 0.8× 802 1.4× 405 1.0× 237 0.7× 182 0.7× 26 1.4k
Sander Kelderman Netherlands 10 1.4k 1.3× 1.2k 2.1× 526 1.3× 169 0.5× 295 1.2× 12 2.0k
Linjie Guo United States 13 930 0.8× 749 1.3× 348 0.8× 248 0.7× 193 0.8× 24 1.4k

Countries citing papers authored by Daniel Abate‐Daga

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Abate‐Daga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Abate‐Daga. 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 Daniel Abate‐Daga. The network helps show where Daniel Abate‐Daga may publish in the future.

Co-authorship network of co-authors of Daniel Abate‐Daga

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Abate‐Daga. A scholar is included among the top collaborators of Daniel Abate‐Daga 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 Daniel Abate‐Daga. Daniel Abate‐Daga 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.
Antfolk, Daniel, et al.. (2025). Engineering synthetic agonists for targeted activation of Notch signaling. Nature Chemical Biology. 22(3). 392–401.
2.
Tordesillas, Leticia, Matthew Beatty, Dongliang Du, et al.. (2025). CD40L stimulates tumor-infiltrating B-cells and improves ex vivo TIL expansion. Journal for ImmunoTherapy of Cancer. 13(4). e011066–e011066. 4 indexed citations
3.
Yu, Xiaoqing, Li Song, Ling Cen, et al.. (2024). Pan-cancer γδ TCR analysis uncovers clonotype diversity and prognostic potential. Cell Reports Medicine. 5(10). 101764–101764. 2 indexed citations
4.
Potez, Marine, Jongmyung Kim, Timothy H. Tran, et al.. (2023). Use of phage display biopanning as a tool to design CAR-T cells against glioma stem cells. Frontiers in Oncology. 13. 1124272–1124272. 4 indexed citations
5.
Frieling, Jeremy S., Leticia Tordesillas, María C. Ramello, et al.. (2023). γδ-Enriched CAR-T cell therapy for bone metastatic castrate-resistant prostate cancer. Science Advances. 9(18). eadf0108–eadf0108. 44 indexed citations
6.
Abate‐Daga, Daniel, et al.. (2023). Abstract 887: Killer cell immunoglobulin-like receptor 2DL2 (KIR2DL2) immune checkpoint modulates CAR-T cell effector function. Cancer Research. 83(7_Supplement). 887–887. 1 indexed citations
7.
Hensel, Jonathan A., Christopher Cubitt, Michael J. Schell, et al.. (2023). SARS-CoV-2 antibody response duration and neutralization following natural infection. SHILAP Revista de lepidopterología. 3(3). 100158–100158.
8.
Mandriani, Barbara, Eleonora Pellè, Jonathan Strosberg, et al.. (2021). Adoptive T-cell immunotherapy in digestive tract malignancies: Current challenges and future perspectives. Cancer Treatment Reviews. 100. 102288–102288. 11 indexed citations
9.
Mandriani, Barbara, Eleonora Pellè, Francesco Mannavola, et al.. (2021). 1101MO Development of CAR T-cells for future treatment of NETs. Annals of Oncology. 32. S911–S911. 2 indexed citations
10.
Ramello, María C., Brent M. Kuenzi, Daniel N. Santiago, et al.. (2019). An immunoproteomic approach to characterize the CAR interactome and signalosome. Science Signaling. 12(568). 122 indexed citations
11.
Roselli, Emiliano, et al.. (2019). CAR-T Engineering: Optimizing Signal Transduction and Effector Mechanisms. BioDrugs. 33(6). 647–659. 24 indexed citations
12.
Abate‐Daga, Daniel, et al.. (2019). Mathematical Modeling of Oncolytic Virotherapy. Methods in molecular biology. 2058. 307–320. 10 indexed citations
13.
Li, Gongbo, Justin C. Boucher, Hiroshi Kotani, et al.. (2018). 4-1BB enhancement of CAR T function requires NF-κB and TRAFs. JCI Insight. 3(18). 104 indexed citations
14.
Khanna, Swati, Anish Thomas, Daniel Abate‐Daga, et al.. (2016). Malignant Mesothelioma Effusions Are Infiltrated by CD3+ T Cells Highly Expressing PD-L1 and the PD-L1+ Tumor Cells within These Effusions Are Susceptible to ADCC by the Anti–PD-L1 Antibody Avelumab. Journal of Thoracic Oncology. 11(11). 1993–2005. 78 indexed citations
15.
Abate‐Daga, Daniel, Daniel E. Speiser, Nachimuthu Chinnasamy, et al.. (2014). Development of a T Cell Receptor Targeting an HLA-A*0201 Restricted Epitope from the Cancer-Testis Antigen SSX2 for Adoptive Immunotherapy of Cancer. PLoS ONE. 9(3). e93321–e93321. 20 indexed citations
16.
Beard, Rachel E., Zhili Zheng, Kiran H. Lagisetty, et al.. (2014). Multiple chimeric antigen receptors successfully target chondroitin sulfate proteoglycan 4 in several different cancer histologies and cancer stem cells. Journal for ImmunoTherapy of Cancer. 2(1). 25–25. 119 indexed citations
17.
Beard, Rachel E., Daniel Abate‐Daga, Shannon F. Rosati, et al.. (2013). Gene Expression Profiling using Nanostring Digital RNA Counting to Identify Potential Target Antigens for Melanoma Immunotherapy. Clinical Cancer Research. 19(18). 4941–4950. 48 indexed citations
18.
Abate‐Daga, Daniel, et al.. (2011). Oncolytic Adenoviruses Armed with Thymidine Kinase Can Be Traced by PET Imaging and Show Potent Antitumoural Effects by Ganciclovir Dosing. PLoS ONE. 6(10). e26142–e26142. 24 indexed citations
19.
Abate‐Daga, Daniel, et al.. (2010). Cell cycle control pathways act as conditioning factors for TK/GCV sensitivity in pancreatic cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(10). 1175–1185. 17 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christel Devaud Breakdown of academic impact, for papers by Bruno L. Cadilha Breakdown of academic impact, for papers by Zongliang Zhang Breakdown of academic impact, for papers by Elmer Santos Breakdown of academic impact, for papers by Kathryn M. Cappell Breakdown of academic impact, for papers by Meng Wu Breakdown of academic impact, for papers by Sid P. Kerkar Breakdown of academic impact, for papers by Giacomo Oliveira Breakdown of academic impact, for papers by Sander Kelderman Breakdown of academic impact, for papers by Linjie Guo
Rankless by CCL
2026