Daniel Martínez

5.6k total citations
66 papers, 2.6k citations indexed

About

Daniel Martínez is a scholar working on Neurology, Molecular Biology and Oncology. According to data from OpenAlex, Daniel Martínez has authored 66 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 23 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Daniel Martínez's work include Neuroblastoma Research and Treatments (25 papers), Lung Cancer Research Studies (9 papers) and Chromatin Remodeling and Cancer (8 papers). Daniel Martínez is often cited by papers focused on Neuroblastoma Research and Treatments (25 papers), Lung Cancer Research Studies (9 papers) and Chromatin Remodeling and Cancer (8 papers). Daniel Martínez collaborates with scholars based in United States, Canada and Spain. Daniel Martínez's co-authors include Bruce Pawel, John M. Maris, Alexander R. Judkins, John Q. Trojanowski, Mariarita Santi, Virginia M.‐Y. Lee, Tracy K. McIntosh, Kunihiro Uryu, Sriram Venneti and Susan Leight and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Blood.

In The Last Decade

Daniel Martínez

65 papers receiving 2.6k citations

Peers

Daniel Martínez
Andrew Wood United States
Samuel Samnick Germany
Christine Haberler Austria
Elmar Kirches Germany
Michael Synowitz Germany
Norman L. Lehman United States
Ilker Y. Eyüpoglu Germany
Christopher R. Pierson United States
Karin Strittmatter Switzerland
Avelina Tortosa Spain
Andrew Wood United States
Daniel Martínez
Citations per year, relative to Daniel Martínez Daniel Martínez (= 1×) peers Andrew Wood

Countries citing papers authored by Daniel Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Martínez. A scholar is included among the top collaborators of Daniel Martínez 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 Martínez. Daniel Martínez 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.
Roth, Sydney L., Whitney L. Gladney, David Groff, et al.. (2025). D3-GPC2–Directed CAR T Cells Are Safe and Efficacious in Preclinical Models of Neuroblastoma and Small Cell Lung Cancer. Clinical Cancer Research. 31(24). 5276–5293.
2.
Pascual‐Pasto, Guillem, Fatemeh Alikarami‬, Daniel Martínez, et al.. (2024). Targeting GPC2 on Intraocular and CNS Metastatic Retinoblastomas with Local and Systemic Delivery of CAR T Cells. Clinical Cancer Research. 30(16). 3578–3591. 4 indexed citations
3.
Batra, Vandana, Ajami Gikandi, Bruce Pawel, et al.. (2023). Norepinephrine transporter and vesicular monoamine transporter 2 tumor expression as a predictor of response to 131I‐MIBG in patients with relapsed/refractory neuroblastoma. Pediatric Blood & Cancer. 71(1). e30743–e30743. 2 indexed citations
4.
Sharma, Sonal, Sergey Magnitsky, Mitchell S. Schwartz, et al.. (2023). Novel Development of Magnetic Resonance Imaging to Quantify the Structural Anatomic Growth of Diverse Organs in Adult and Mutant Zebrafish. Zebrafish. 21(1). 28–38. 1 indexed citations
5.
Foster, Jessica, Jo Lynne Rokita, Komal S. Rathi, et al.. (2022). Development of GPC2-directed chimeric antigen receptors using mRNA for pediatric brain tumors. Journal for ImmunoTherapy of Cancer. 10(9). e004450–e004450. 30 indexed citations
6.
Batra, Vandana, Minu Samanta, Mehran Makvandi, et al.. (2022). Preclinical Development of [211At]meta- astatobenzylguanidine ([211At]MABG) as an Alpha Particle Radiopharmaceutical Therapy for Neuroblastoma. Clinical Cancer Research. 28(18). 4146–4157. 18 indexed citations
7.
Krytska, Kateryna, Jennifer Pogoriler, Daniel Martínez, et al.. (2022). Evaluation of the DLL3-targeting Antibody–Drug Conjugate Rovalpituzumab Tesirine in Preclinical Models of Neuroblastoma. Cancer Research Communications. 2(7). 616–623. 5 indexed citations
8.
Pascual‐Pasto, Guillem, Rawan Shraim, Amy K. Erbe, et al.. (2022). GPC2 antibody–drug conjugate reprograms the neuroblastoma immune milieu to enhance macrophage-driven therapies. Journal for ImmunoTherapy of Cancer. 10(12). e004704–e004704. 19 indexed citations
9.
Makvandi, Mehran, Hwan Lee, Laura N. Puentes, et al.. (2019). Targeting PARP-1 with Alpha-Particles Is Potently Cytotoxic to Human Neuroblastoma in Preclinical Models. Molecular Cancer Therapeutics. 18(7). 1195–1204. 39 indexed citations
10.
Maachani, Uday Bhanu, Umberto Tosi, David J. Pisapia, et al.. (2019). B7–H3 as a Prognostic Biomarker and Therapeutic Target in Pediatric central nervous system Tumors. Translational Oncology. 13(2). 365–371. 45 indexed citations
11.
Bagga, Puneet, Stephen Pickup, Rachelle Crescenzi, et al.. (2018). In vivo GluCEST MRI: Reproducibility, background contribution and source of glutamate changes in the MPTP model of Parkinson’s disease. Scientific Reports. 8(1). 2883–2883. 37 indexed citations
12.
Hart, Lori S., JulieAnn Rader, Pichai Raman, et al.. (2016). Preclinical Therapeutic Synergy of MEK1/2 and CDK4/6 Inhibition in Neuroblastoma. Clinical Cancer Research. 23(7). 1785–1796. 57 indexed citations
13.
Ng, Jessica M.Y., Daniel Martínez, Eric D. Marsh, et al.. (2015). Generation of a Mouse Model of Atypical Teratoid/Rhabdoid Tumor of the Central Nervous System through Combined Deletion of Snf5 and p53. Cancer Research. 75(21). 4629–4639. 30 indexed citations
14.
Chung, So Hyun, Michael D. Feldman, Daniel Martínez, et al.. (2015). Macroscopic optical physiological parameters correlate with microscopic proliferation and vessel area breast cancer signatures. Breast Cancer Research. 17(1). 72–72. 21 indexed citations
15.
Venneti, Sriram, Mariarita Santi, Michelle M. Felicella, et al.. (2014). A sensitive and specific histopathologic prognostic marker for H3F3A K27M mutant pediatric glioblastomas. Acta Neuropathologica. 128(5). 743–753. 102 indexed citations
16.
Rader, JulieAnn, Mike R. Russell, Lori S. Hart, et al.. (2013). Dual CDK4/CDK6 Inhibition Induces Cell-Cycle Arrest and Senescence in Neuroblastoma. Clinical Cancer Research. 19(22). 6173–6182. 308 indexed citations
17.
Russell, Mike R., JulieAnn Rader, Lili T. Belcastro, et al.. (2012). Combination Therapy Targeting the Chk1 and Wee1 Kinases Shows Therapeutic Efficacy in Neuroblastoma. Cancer Research. 73(2). 776–784. 95 indexed citations
18.
Qing, Guoliang, Nicolas Skuli, Patrick A. Mayes, et al.. (2010). Combinatorial Regulation of Neuroblastoma Tumor Progression by N-Myc and Hypoxia Inducible Factor HIF-1α. Cancer Research. 70(24). 10351–10361. 128 indexed citations
19.
Akgün, Hülya, Mahmut Tuncay Özgün, Figen Öztürk, et al.. (2009). Autopsy. Modern Pathology. 22. 4–11. 1 indexed citations
20.
Uryu, Kunihiro, Benoit I. Giasson, Luca Longhi, et al.. (2003). Age-dependent synuclein pathology following traumatic brain injury in mice. Experimental Neurology. 184(1). 214–224. 94 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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