Daniel Martínez
Impact in
Papers in
- Neurology 25
- Neuroblastoma Research and Treatments 22
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- Chromatin Remodeling and Cancer 8
- Cancer therapeutics and mechanisms 4
- Co-authors
- Bruce Pawel (23 shared papers)John M. Maris (23 shared papers)Alexander R. Judkins (10 shared papers)John Q. Trojanowski (3 shared papers)Mariarita Santi (7 shared papers)Virginia M.‐Y. Lee (2 shared papers)Kunihiro Uryu (2 shared papers)Tracy K. McIntosh (2 shared papers)
- Journals
- Cancer Research (7 papers)Clinical Cancer Research (5 papers)Modern Pathology (2 papers)Blood (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Daniel Martínez
65 papers receiving 2.6k citations
Daniel Martínez's Hit Papers
Peers
Comparison fields: 5 of 95
- Neurology 842
- Genetics 341
- Cancer Research 375
- Oncology 624
- Molecular Biology 1.1k
Countries citing papers authored by Daniel Martínez
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
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-authors
The 25 scholars most cited alongside Daniel Martínez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dual CDK4/CDK6 Inhibition Induces Cell-Cycle Arrest and Senescence in Neuroblastoma Hit paper breakdown → | 2013 | 314 |
| 2 | 2002 | 293 | |
| 3 | 2013 | 160 | |
| 4 | 2010 | 131 | |
| 5 | 2017 | 130 | |
| 6 | 2003 | 119 | |
| 7 | 2014 | 104 | |
| 8 | 2001 | 96 | |
| 9 | 2012 | 95 | |
| 10 | 2003 | 95 | |
| 11 | 2007 | 67 | |
| 12 | 2020 | 65 | |
| 13 | 2012 | 64 | |
| 14 | 2016 | 57 | |
| 15 | 2011 | 50 | |
| 16 | 2019 | 46 | |
| 17 | 2011 | 46 | |
| 18 | 2019 | 46 | |
| 19 | 2010 | 45 | |
| 20 | 2012 | 45 |
About Daniel Martínez
Daniel Martínez is a scholar working on Neurology, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (22 papers), Lung Cancer Research Studies (8 papers), Chromatin Remodeling and Cancer (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (4 papers), Cancer therapeutics and mechanisms (4 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Neurology (842 citations), Genetics (341 citations), Cancer Research (375 citations), Oncology (624 citations) and Molecular Biology (1.1k citations). Daniel Martínez has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Bruce Pawel, John M. Maris, Alexander R. Judkins, John Q. Trojanowski, Mariarita Santi, Virginia M.‐Y. Lee, Kunihiro Uryu, Tracy K. McIntosh, Sriram Venneti and Helmut Laurer. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Modern Pathology, Blood and Journal of Clinical Oncology.
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.