Natalia J. Martinez
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
- Cancer Research top 5%
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 8
- Gene Regulatory Network Analysis 4
- Cancer-related gene regulation 3
- Physiology top 10%
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- Cancer Cells and Metastasis 3
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- Computational Drug Discovery Methods 5
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- Machine Learning in Materials Science 4
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- 3D Printing in Biomedical Research 3
- Co-authors
- Albertha J.M. WalhoutM. Inmaculada BarrasaRichard I. GregoryMaria C. OwVictor AmbrosJosé M. RojasJohn Reece-HoyesAnton Simeonov
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Natalia J. Martinez
43 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Aging 257
- Cancer Research 574
- Molecular Biology 1.7k
- Physiology 39
- Oncology 217
Countries citing papers authored by Natalia J. Martinez
This map shows the geographic impact of Natalia J. Martinez'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 Natalia J. Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia J. Martinez more than expected).
Fields of papers citing papers by Natalia J. Martinez
This network shows the impact of papers produced by Natalia J. Martinez. 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 Natalia J. Martinez. The network helps show where Natalia J. Martinez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalia J. Martinez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 63 | |
| 9 | 2018 | 70 | |
| 10 | 2017 | 31 | |
| 11 | Aplicación de la minería de datos anómalos en organizaciones orientadas a proyectos | 2016 | 1 |
| 12 | 2016 | 8 | |
| 13 | 2010 | 60 | |
| 14 | 2010 | 118 | |
| 15 | 2009 | 210 | |
| 16 | 2008 | 176 | |
| 17 | 2008 | 46 | |
| 18 | 2008 | 188 | |
| 19 | 2006 | 189 | |
| 20 | 2004 | 218 |
About Natalia J. Martinez
Natalia J. Martinez is a scholar working on Aging, Issues, ethics and legal aspects and Cancer Research, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Computational Drug Discovery Methods (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Machine Learning in Materials Science (4 papers), Gene Regulatory Network Analysis (4 papers), Cancer Cells and Metastasis (3 papers), 3D Printing in Biomedical Research (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Aging (257 citations), Cancer Research (574 citations) and Molecular Biology (1.7k citations). Natalia J. Martinez has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Albertha J.M. Walhout, M. Inmaculada Barrasa, Richard I. Gregory, Maria C. Ow, Victor Ambros, José M. Rojas, John Reece-Hoyes, Anton Simeonov, Lynn Doucette‐Stamm and Reynaldo Sequerra. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.