Verónica Castro

481 citations
7 papers · 304 · h-index 5

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Bioinformatics and Genomic Networks
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • S100 Proteins and Annexins 2
    • RNA modifications and cancer 2
    • Genomics and Chromatin Dynamics 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Gene expression and cancer classification 1
    • Cancer Genomics and Diagnostics 2

Verónica Castro

7 papers receiving 301 citations

Peers

Verónica Castro
Comparison fields: 5 of 63
  • Cancer Research 74
  • Molecular Biology 206
  • Cell Biology 39
  • Oncology 57
  • Aging 4
Replace Terry J. Shackleford with:
Terry J. Shackleford United States
Shenyi Lian China
Eva Rodríguez-Aznar Spain
Sarah Koushyar United Kingdom
Ning Deng China
Carolina Pola United States
Junyu Tan China
Dong Wu China
Mario R. Fernandez United States
Verónica Castro relative to Terry J. Shackleford United States Terry J. Shackleford's profile →
Citations per field
00.5×1.5×2.1×
Terry J. Shackleford · 1×
Citations per year

Countries citing papers authored by Verónica Castro

Since Specialization
Citations

This map shows the geographic impact of Verónica Castro'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 Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Castro more than expected).

Fields of papers citing papers by Verónica Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Castro. 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 Castro. The network helps show where Verónica Castro may publish in the future.

Co-authors

The 25 scholars most cited alongside Verónica Castro, 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 Castro Line = papers co-authored together Verónica Castro links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201578
2 200975
3 201474
4 201538
5 201436
6 20142
7 20141

About Verónica Castro

Verónica Castro is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Immunology and Allergy, having authored 7 papers that have together received 304 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Cancer Genomics and Diagnostics (2 papers), S100 Proteins and Annexins (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (1 paper), Cell Adhesion Molecules Research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (74 citations), Molecular Biology (206 citations), Cell Biology (39 citations), Oncology (57 citations) and Aging (4 citations). Verónica Castro has collaborated with scholars based in United States, France and Spain. Frequent co-authors include David Llobet‐Navàs, Laura Saucedo-Cuevas, Ruth Rodríguez‐Barrueco, José M. Silva, Mireia Castillo-Martín, Carlos Cordon‐Cardo, Preeti Putcha, Patricia Villagrasa, Elena Ezhkova and Andrea Califano. Their work appears in journals such as Cancer Research, Cell, Breast Cancer Research, Molecular and Cellular Biology and Genes & Development.

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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