Marta Garcı́a-Cao

2.3k citations
11 papers · 1.7k indexed · h-index 9
  • Aging top 1%
  • Physiology top 2%
    • Telomeres, Telomerase, and Senescence 5
    • Epigenetics and DNA Methylation 5
    • Genomics and Chromatin Dynamics 3
  • Oncology top 10%
    • Cancer-related Molecular Pathways 2
    • Cancer Research and Treatments 2
    • Acute Myeloid Leukemia Research 2
    • Immunodeficiency and Autoimmune Disorders 2
    • Virus-based gene therapy research 1

Marta Garcı́a-Cao

11 papers receiving 1.7k citations

Peers

Marta Garcı́a-Cao
Comparison fields: 5 of 83
  • Aging 181
  • Physiology 829
  • Molecular Biology 1.3k
  • Oncology 395
  • Biotechnology 108
Replace Michele F. Haughton with:
Michele F. Haughton United Kingdom
Sonja Schaetzlein United States
Michela Clerici Italy
Valentina Matti Italy
Candy Haggblom United States
Daryll K. Green United Kingdom
Marina Shkreli France
Sonu Dhar United States
Miguel Foronda Spain
Marta Garcı́a-Cao relative to Michele F. Haughton United Kingdom Michele F. Haughton's profile →
Citations per field
00.5×
Michele F. Haughton · 1×
Citations per year

Countries citing papers authored by Marta Garcı́a-Cao

Since Specialization
Citations

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

Fields of papers citing papers by Marta Garcı́a-Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Garcı́a-Cao. 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 Garcı́a-Cao. The network helps show where Marta Garcı́a-Cao may publish in the future.

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20242
2 201614
3 20152
4 201525
5 2007274
6 200686
7 2005266
8 2003436
9 2002128
10 200295
11 2002379

About Marta Garcı́a-Cao

Marta Garcı́a-Cao is a scholar working on Aging, Biotechnology and Physiology, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Genomics and Chromatin Dynamics (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer Research and Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cancer-related Molecular Pathways (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Aging (181 citations), Physiology (829 citations) and Molecular Biology (1.3k citations). Marta Garcı́a-Cao has collaborated with scholars based in Spain, United States and Austria. Frequent co-authors include Marı́a A. Blasco, Antoine H.F.M. Peters, Thomas Jenuwein, Roberta Benetti, Roderick J. O’Sullivan, Juan Martín‐Caballero, Isabel García‐Cao, Manuel Serrano, Juana M. Flores and Peter Klatt. Their work appears in journals such as Nature Communications, Nature Genetics and The EMBO Journal.

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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