Irene Pradas

763 citations
18 papers · 553 · h-index 14

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

    • Metabolomics and Mass Spectrometry Studies 7
    • Mitochondrial Function and Pathology 5
    • Redox biology and oxidative stress 2
    • Adipose Tissue and Metabolism 3

Irene Pradas

18 papers receiving 548 citations

Peers

Irene Pradas
Comparison fields: 5 of 99
  • Aging 47
  • Biochemistry 56
  • Physiology 152
  • Biological Psychiatry 13
  • Biochemistry 31
Replace Bhavana Chhunchha with:
Bhavana Chhunchha United States
Rocco C. Iannello Australia
Ugo Paolucci United States
Sara Carbajo‐Pescador Spain
Maja Klapper Germany
Sofia Tsiropoulou United Kingdom
Sung Yeul Yang South Korea
Wanchao Ma United States
Patrícia Cristine Borck Brazil
Amy K. Hauck United States
Irene Pradas relative to Bhavana Chhunchha United States Bhavana Chhunchha's profile →
Citations per field
00.5×1.7×
Bhavana Chhunchha · 1×
Citations per year

Countries citing papers authored by Irene Pradas

Since Specialization
Citations

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

Fields of papers citing papers by Irene Pradas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201886
2 202083
3 201863
4 201957
5 201931
6 202031
7 201731
8 201927
9 202026
10 202023
11 201722
12 202016
13 201915
14 202014
15 202111
16 202210
17 20186
18 20251

About Irene Pradas

Irene Pradas is a scholar working on Molecular Biology, Physiology, Cell Biology, Aging and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 553 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Mitochondrial Function and Pathology (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Adipose Tissue and Metabolism (3 papers), Muscle metabolism and nutrition (2 papers), Ovarian function and disorders (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Redox biology and oxidative stress (2 papers). The work is most often cited by research in Aging (47 citations), Biochemistry (56 citations), Physiology (152 citations), Biological Psychiatry (13 citations) and Biochemistry (31 citations). Irene Pradas has collaborated with scholars based in Spain, Australia and Hungary. Frequent co-authors include Reinald Pamplona, Mariona Jové, Natàlia Mota‐Martorell, Victòria Ayala, Rosanna Cabré, Isidró Ferrer, Peter J. Meikle, Kevin Huynh, Meritxell Martin‐Garí and Alba Naudí. Their work appears in journals such as Redox Biology, The Journals of Gerontology Series A, Free Radical Biology and Medicine, Scientific Reports and GeroScience.

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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