Marta Larráyoz
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
- Genetics 20
- Chronic Lymphocytic Leukemia Research 20
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- Multiple Myeloma Research and Treatments 9
- Co-authors
- Rubén Pı́o (7 shared papers)Jackeline Agorreta (7 shared papers)Andrew J. Steele (9 shared papers)Luis M. Montuenga (7 shared papers)Jonathan C. Strefford (9 shared papers)Graham Packham (6 shared papers)Francesco Forconi (6 shared papers)Mark Steven Cragg (5 shared papers)
- Journals
- Blood (12 papers)Leukemia (6 papers)Haematologica (3 papers)Nature Communications (2 papers)Molecular Cancer (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Marta Larráyoz
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 62
- Genetics 666
- Geriatrics and Gerontology 45
- Hematology 119
- Oncology 185
- Cancer Research 79
Countries citing papers authored by Marta Larráyoz
This map shows the geographic impact of Marta Larráyoz'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 Marta Larráyoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Larráyoz more than expected).
Fields of papers citing papers by Marta Larráyoz
This network shows the impact of papers produced by Marta Larráyoz. 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 Marta Larráyoz. The network helps show where Marta Larráyoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Larráyoz, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 245 | |
| 2 | 2015 | 90 | |
| 3 | 2016 | 77 | |
| 4 | 2016 | 70 | |
| 5 | 2012 | 68 | |
| 6 | 2015 | 68 | |
| 7 | 2014 | 67 | |
| 8 | 2020 | 65 | |
| 9 | 2016 | 63 | |
| 10 | 2010 | 61 | |
| 11 | 2016 | 60 | |
| 12 | 2023 | 60 | |
| 13 | 2016 | 56 | |
| 14 | 2016 | 53 | |
| 15 | 2018 | 51 | |
| 16 | 2020 | 42 | |
| 17 | 2018 | 39 | |
| 18 | 2015 | 34 | |
| 19 | 2016 | 33 | |
| 20 | 2016 | 31 |
About Marta Larráyoz
Marta Larráyoz is a scholar working on Genetics, Hematology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (20 papers), Multiple Myeloma Research and Treatments (9 papers), Angiogenesis and VEGF in Cancer (3 papers), CAR-T cell therapy research (3 papers), Protein Degradation and Inhibitors (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cell death mechanisms and regulation (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Genetics (666 citations), Geriatrics and Gerontology (45 citations), Hematology (119 citations), Oncology (185 citations) and Cancer Research (79 citations). Marta Larráyoz has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Rubén Pı́o, Jackeline Agorreta, Andrew J. Steele, Luis M. Montuenga, Jonathan C. Strefford, Graham Packham, Francesco Forconi, Mark Steven Cragg, Matthew D. Blunt and David Graham Oscier. Their work appears in journals such as Blood, Leukemia, Haematologica, Nature Communications and Molecular Cancer.
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.