Verónica Ayllón

1.9k citations
42 papers · 1.4k indexed · h-index 23

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Cell death mechanisms and regulation
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

Verónica Ayllón

42 papers receiving 1.4k citations

Peers

Verónica Ayllón
Comparison fields: 5 of 95
  • Hematology 209
  • Molecular Biology 1.1k
  • Cell Biology 241
  • Cancer Research 180
  • Genetics 100
Replace Ignacio Pérez‐Roger with:
Ignacio Pérez‐Roger Spain
Jonathan Frampton United Kingdom
Takahisa Hachiya Japan
Shilpee Dutt India
W G King United States
George A. Ricca United States
Natsuko Chiba Japan
Christelle Benaud France
Miguel Aracil Spain
Christine M. Stellrecht United States
Verónica Ayllón relative to Ignacio Pérez‐Roger Spain Ignacio Pérez‐Roger's profile →
Citations per field
00.5×2.6×
Ignacio Pérez‐Roger · 1×
Citations per year

Countries citing papers authored by Verónica Ayllón

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Verónica Ayllón Line = papers co-authored together Verónica Ayllón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 201914
3 20176
4 201717
5 20169
6 20167
7 2016109
8 201539
9 201325
10 201251
11 201252
12 201122
13 201119
14 201030
15 2006123
16 200538
17 200244
18 200234
19 200122
20 2000124

About Verónica Ayllón

Verónica Ayllón is a scholar working on Hematology, Cell Biology, Molecular Biology, Cancer Research and Immunology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Zebrafish Biomedical Research Applications (9 papers), Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (7 papers), Cell death mechanisms and regulation (7 papers), CRISPR and Genetic Engineering (5 papers), NF-κB Signaling Pathways (4 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Hematology (209 citations), Molecular Biology (1.1k citations), Cell Biology (241 citations), Cancer Research (180 citations) and Genetics (100 citations). Verónica Ayllón has collaborated with scholars based in Spain, Ireland and France. Frequent co-authors include Angelita Rebollo, Rosemary O’Connor, Pablo Menéndez, Xavier Cayla, Alphonse Garcı́a, Clara Bueno, Verónica Ramos–Mejía, Pedro J. Real, Aarne Fleischer and Carlos Martı́nez-A. Their work appears in journals such as Stem Cell Research, Oncogene, Experimental Hematology, The Journal of Immunology and Blood.

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.

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