Sofía Cabezudo

593 citations
9 papers · 495 · h-index 8

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Receptor Mechanisms and Signaling 3
    • RNA modifications and cancer 1
    • RNA Research and Splicing 1
    • Vaccine Coverage and Hesitancy 1

Sofía Cabezudo

9 papers receiving 490 citations

Peers

Sofía Cabezudo
Comparison fields: 5 of 79
  • Geriatrics and Gerontology 97
  • Aging 20
  • Physiology 23
  • Biological Psychiatry 9
  • Molecular Biology 251
Replace Przemysław Rzodkiewicz with:
Przemysław Rzodkiewicz Poland
Riikka Jokinen Finland
Weiyan Shen China
Jeongho Kwon South Korea
Shiyu Zhu China
Wei‐Chieh Mu United States
Yin He United States
Adam D. Hudgins United States
Els Mansell Sweden
Isabel de Lavera Spain
Sofía Cabezudo relative to Przemysław Rzodkiewicz Poland Przemysław Rzodkiewicz's profile →
Citations per field
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Przemysław Rzodkiewicz · 1×
Citations per year

Countries citing papers authored by Sofía Cabezudo

Since Specialization
Citations

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

Fields of papers citing papers by Sofía Cabezudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013278
2 201477
3 201649
4 202136
5 202121
6 202113
7 201311
8 20169
9 20251

About Sofía Cabezudo

Sofía Cabezudo is a scholar working on Molecular Biology, Health, Cancer Research, Cell Biology and Infectious Diseases, having authored 9 papers that have together received 495 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Receptor Mechanisms and Signaling (3 papers), Pancreatic function and diabetes (1 paper), RNA modifications and cancer (1 paper), Vaccine Coverage and Hesitancy (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Geriatrics and Gerontology (97 citations), Aging (20 citations), Physiology (23 citations), Biological Psychiatry (9 citations) and Molecular Biology (251 citations). Sofía Cabezudo has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Brigitte Wild, Yolanda Olmos, Francisco J. Sánchez-Gómez, Santiago Lamas, Nieves García-Quintáns, Marı́a Monsalve, Catalina Ribas, Federico Mayor, Carlota García‐Hoz and Anna M. Aragay. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Cellular Signalling, FEBS Open Bio and Nature Communications.

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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