Mónica Martínez‐Fernández
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 5
- Cancer Genomics and Diagnostics 4
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- Epigenetics and DNA Methylation 11
- Genetics top 10%
- Genetic diversity and population structure 6
- Oceanography top 10%
- Ecology top 10%
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- Bladder and Urothelial Cancer Treatments 8
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- Cancer-related Molecular Pathways 4
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- Marine Bivalve and Aquaculture Studies 3
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Emilio Rolán‐AlvarezJesús M. ParamioMarta DueñasÁngel P. DizCarolina RubioCristina SegoviaFernando López-CalderónMarı́a Páez de la Cadena
- Journals
- Science (1 paper)Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Mónica Martínez‐Fernández
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 257
- Molecular Biology 576
- Genetics 225
- Oceanography 80
- Ecology 149
Countries citing papers authored by Mónica Martínez‐Fernández
This map shows the geographic impact of Mónica Martínez‐Fernández'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 Mónica Martínez‐Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Martínez‐Fernández more than expected).
Fields of papers citing papers by Mónica Martínez‐Fernández
This network shows the impact of papers produced by Mónica Martínez‐Fernández. 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 Mónica Martínez‐Fernández. The network helps show where Mónica Martínez‐Fernández may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mónica Martínez‐Fernández, 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 | 2026 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2017 | 159 | |
| 11 | 2017 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2015 | 50 | |
| 14 | 2015 | 87 | |
| 15 | 2013 | 15 | |
| 16 | 2013 | 21 | |
| 17 | 2012 | 15 | |
| 18 | 2010 | 21 | |
| 19 | 2010 | 24 | |
| 20 | 2009 | 4 |
About Mónica Martínez‐Fernández
Mónica Martínez‐Fernández is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Bladder and Urothelial Cancer Treatments (8 papers), Genetic diversity and population structure (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer-related Molecular Pathways (4 papers), Marine Bivalve and Aquaculture Studies (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (257 citations), Molecular Biology (576 citations) and Genetics (225 citations). Mónica Martínez‐Fernández has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Emilio Rolán‐Alvarez, Jesús M. Paramio, Marta Dueñas, Ángel P. Diz, Carolina Rubio, Cristina Segovia, Fernando López-Calderón, Marı́a Páez de la Cadena, Felipe Villacampa and Daniel Castellano. Their work appears in journals such as Science, Journal of Clinical Investigation 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.