Verónica Ayllón
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Cell death mechanisms and regulation
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
-
- Pluripotent Stem Cells Research 10
- Cell death mechanisms and regulation 7
- Epigenetics and DNA Methylation 7
- CRISPR and Genetic Engineering 5
- Renal and related cancers 3
- Cell Biology 11
- Zebrafish Biomedical Research Applications 9
- Co-authors
- Angelita Rebollo (10 shared papers)Rosemary O’Connor (6 shared papers)Pablo Menéndez (20 shared papers)Clara Bueno (15 shared papers)Xavier Cayla (4 shared papers)Alphonse Garcı́a (4 shared papers)Verónica Ramos–Mejía (19 shared papers)Pedro J. Real (17 shared papers)
In The Last Decade
Verónica Ayllón
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Hematology 203
- Molecular Biology 1.0k
- Cell Biology 226
- Cancer Research 159
- Genetics 90
Countries citing papers authored by Verónica Ayllón
This map shows the geographic impact of Verónica Ayllón'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 Verónica Ayllón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Ayllón more than expected).
Fields of papers citing papers by Verónica Ayllón
This network shows the impact of papers produced by Verónica Ayllón. 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 Verónica Ayllón. The network helps show where Verónica Ayllón may publish in the future.
Co-authors
The 25 scholars most cited alongside Verónica Ayllón, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 124 | |
| 2 | 2000 | 124 | |
| 3 | 2016 | 110 | |
| 4 | 2000 | 92 | |
| 5 | 2014 | 78 | |
| 6 | 2011 | 67 | |
| 7 | 2009 | 55 | |
| 8 | 2001 | 55 | |
| 9 | 2012 | 53 | |
| 10 | 2012 | 51 | |
| 11 | 2002 | 50 | |
| 12 | 2002 | 44 | |
| 13 | 2014 | 41 | |
| 14 | 2015 | 41 | |
| 15 | 2005 | 38 | |
| 16 | 2012 | 37 | |
| 17 | 2002 | 35 | |
| 18 | 2013 | 31 | |
| 19 | 2010 | 30 | |
| 20 | 2013 | 28 |
About Verónica Ayllón
Verónica Ayllón is a scholar working on Molecular Biology, Cell Biology, Hematology, Oncology and Cancer Research, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Zebrafish Biomedical Research Applications (9 papers), Cell death mechanisms and regulation (7 papers), Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (7 papers), CRISPR and Genetic Engineering (5 papers), NF-κB Signaling Pathways (4 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Hematology (203 citations), Molecular Biology (1.0k citations), Cell Biology (226 citations), Cancer Research (159 citations) and Genetics (90 citations). Verónica Ayllón has collaborated with scholars based in Spain, Ireland and France. Frequent co-authors include Angelita Rebollo, Rosemary O’Connor, Pablo Menéndez, Clara Bueno, Xavier Cayla, Alphonse Garcı́a, Verónica Ramos–Mejía, Pedro J. Real, Aarne Fleischer and Carlos Martínez‐A. Their work appears in journals such as Stem Cell Research, Oncogene, Experimental Hematology, Blood and The Journal of Immunology.
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.