Isabel García‐Cao

2.6k citations
16 papers · 1.9k indexed · h-index 15
  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms 3
    • Cancer, Hypoxia, and Metabolism 2
  • Oncology top 5%
    • Cancer-related Molecular Pathways 6
    • Cell death mechanisms and regulation 4
    • Mitochondrial Function and Pathology 2
    • Epigenetics and DNA Methylation 2
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence 3
    • Cancer Research and Treatments 2

Isabel García‐Cao

16 papers receiving 1.9k citations

Peers

Isabel García‐Cao
Comparison fields: 5 of 93
  • Aging 226
  • Cancer Research 442
  • Oncology 726
  • Molecular Biology 1.4k
  • Physiology 437
Replace Angelo Cicalese with:
Angelo Cicalese Italy
Véronique Gire France
Deepavali Chakravarti United States
Frédérick A. Mallette Canada
Marco Da Costa France
Jer-Yen Yang United States
Alessandro Rufini United Kingdom
Valery A. Pospelov Russia
Kimi Yamakoshi Japan
Sara Kubek United States
Isabel García‐Cao relative to Angelo Cicalese Italy Angelo Cicalese's profile →
Citations per field
00.5×1.5×
Angelo Cicalese · 1×
Citations per year

Countries citing papers authored by Isabel García‐Cao

Since Specialization
Citations

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

Fields of papers citing papers by Isabel García‐Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel García‐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 Isabel García‐Cao. The network helps show where Isabel García‐Cao may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 202123
2 201828
3 2012306
4 200975
5 20087
6 200772
7 2007361
8 200734
9 200663
10 200697
11 200686
12 200574
13 200565
14 200349
15 2002379
16 2000223

About Isabel García‐Cao

Isabel García‐Cao is a scholar working on Aging, Cancer Research and Oncology, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Cell death mechanisms and regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer Research and Treatments (2 papers), Mitochondrial Function and Pathology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (226 citations), Cancer Research (442 citations) and Oncology (726 citations). Isabel García‐Cao has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Manuel Serrano, Juana M. Flores, Peter Klatt, Marı́a A. Blasco, Juan Martín‐Caballero, Marta Garcı́a-Cao, Manuel Collado, Luis M. Criado, Antonio Maraver and Ander Matheu. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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