Irene Pradas

739 total citations
18 papers, 533 citations indexed

About

Irene Pradas is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Irene Pradas has authored 18 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Irene Pradas's work include Metabolomics and Mass Spectrometry Studies (7 papers), Mitochondrial Function and Pathology (6 papers) and Adipose Tissue and Metabolism (4 papers). Irene Pradas is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Mitochondrial Function and Pathology (6 papers) and Adipose Tissue and Metabolism (4 papers). Irene Pradas collaborates with scholars based in Spain, Australia and United Kingdom. Irene Pradas's co-authors include Mariona Jové, Reinald Pamplona, Natàlia Mota‐Martorell, Victòria Ayala, Rosanna Cabré, Isidró Ferrer, Kevin Huynh, Peter J. Meikle, Meritxell Martin‐Garí and Alba Naudí and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and Molecules.

In The Last Decade

Irene Pradas

17 papers receiving 527 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Irene Pradas Spain 14 309 159 60 51 47 18 533
Sung Yeul Yang South Korea 13 259 0.8× 134 0.8× 31 0.5× 47 0.9× 23 0.5× 20 597
Ugo Paolucci United States 8 340 1.1× 137 0.9× 37 0.6× 30 0.6× 24 0.5× 11 555
Gobinath Shanmugam United States 13 316 1.0× 125 0.8× 31 0.5× 55 1.1× 23 0.5× 29 575
Ana Cañuelo Spain 16 243 0.8× 170 1.1× 45 0.8× 32 0.6× 55 1.2× 25 597
Steven Vitale United States 3 489 1.6× 82 0.5× 44 0.7× 46 0.9× 12 0.3× 4 698
L Bruseghini Spain 9 228 0.7× 140 0.9× 83 1.4× 68 1.3× 56 1.2× 24 513
Chia-Chen Chuang United States 7 286 0.9× 225 1.4× 38 0.6× 40 0.8× 8 0.2× 7 683
Yu-Kun Jennifer Zhang United States 9 283 0.9× 200 1.3× 26 0.4× 45 0.9× 25 0.5× 9 657
Radovan Murín Slovakia 16 287 0.9× 111 0.7× 35 0.6× 49 1.0× 8 0.2× 35 593
Julio C. Tobón-Velasco Mexico 6 451 1.5× 109 0.7× 37 0.6× 39 0.8× 9 0.2× 6 770

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-authorship network of co-authors of Irene Pradas

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Pradas. A scholar is included among the top collaborators of Irene Pradas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irene Pradas. Irene Pradas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Torres, Pascual, Irene Pradas, Raúl Domínguez, et al.. (2025). Exploring platelet metabolomics and fatty acid profiles for ALS prognosis and diagnosis. Scientific Reports. 15(1). 34236–34236.
2.
Gatius, Sónia, Mariona Jové, Andrée Yeramian, et al.. (2022). Metabolomic Analysis Points to Bioactive Lipid Species and Acireductone Dioxygenase 1 (ADI1) as Potential Therapeutic Targets in Poor Prognosis Endometrial Cancer. Cancers. 14(12). 2842–2842. 10 indexed citations
3.
Pradas, Irene, Mariona Jové, Kevin Huynh, et al.. (2021). Long-lived Humans Have a Unique Plasma Sphingolipidome. The Journals of Gerontology Series A. 77(4). 728–735. 11 indexed citations
4.
Mota‐Martorell, Natàlia, Mariona Jové, Consuelo Borrás, et al.. (2020). Methionine transsulfuration pathway is upregulated in long-lived humans. Free Radical Biology and Medicine. 162. 38–52. 31 indexed citations
5.
Jové, Mariona, Irene Pradas, Natàlia Mota‐Martorell, et al.. (2020). Succination of Protein Thiols in Human Brain Aging. Frontiers in Aging Neuroscience. 12. 52–52. 14 indexed citations
6.
Mota‐Martorell, Natàlia, Mariona Jové, Irene Pradas, et al.. (2020). Gene expression and regulatory factors of the mechanistic target of rapamycin (mTOR) complex 1 predict mammalian longevity. GeroScience. 42(4). 1157–1173. 16 indexed citations
7.
Mota‐Martorell, Natàlia, Mariona Jové, Irene Pradas, et al.. (2020). Low abundance of NDUFV2 and NDUFS4 subunits of the hydrophilic complex I domain and VDAC1 predicts mammalian longevity. Redox Biology. 34. 101539–101539. 26 indexed citations
8.
Jové, Mariona, Natàlia Mota‐Martorell, Irene Pradas, et al.. (2020). The Lipidome Fingerprint of Longevity. Molecules. 25(18). 4343–4343. 22 indexed citations
9.
Jové, Mariona, Natàlia Mota‐Martorell, Irene Pradas, et al.. (2020). The Advanced Lipoxidation End-Product Malondialdehyde-Lysine in Aging and Longevity. Antioxidants. 9(11). 1132–1132. 77 indexed citations
10.
Pradas, Irene, Mariona Jové, Kevin Huynh, et al.. (2019). Exceptional human longevity is associated with a specific plasma phenotype of ether lipids. Redox Biology. 21. 101127–101127. 57 indexed citations
11.
Pamplona, Reinald, Consuelo Borrás, Mariona Jové, et al.. (2019). Redox lipidomics to better understand brain aging and function. Free Radical Biology and Medicine. 144. 310–321. 26 indexed citations
12.
Pradas, Irene, Susana Rovira‐Llopis, Alba Naudí, et al.. (2019). Metformin induces lipid changes on sphingolipid species and oxidized lipids in polycystic ovary syndrome women. Scientific Reports. 9(1). 16033–16033. 29 indexed citations
13.
Pradas, Irene, Mariona Jové, Rosanna Cabré, et al.. (2019). Effects of Aging and Methionine Restriction on Rat Kidney Metabolome. Metabolites. 9(11). 280–280. 14 indexed citations
14.
Pradas, Irene, Kevin Huynh, Rosanna Cabré, et al.. (2018). Lipidomics Reveals a Tissue-Specific Fingerprint. Frontiers in Physiology. 9. 1165–1165. 84 indexed citations
15.
Jové, Mariona, et al.. (2018). Lipids and lipoxidation in human brain aging. Mitochondrial ATP-synthase as a key lipoxidation target. Redox Biology. 23. 101082–101082. 59 indexed citations
16.
Mota‐Martorell, Natàlia, Irene Pradas, Mariona Jové, Alba Naudí, & Reinald Pamplona. (2018). Biosíntesis de novo de glicerofosfolípidos y longevidad. Revista Española de Geriatría y Gerontología. 54(2). 88–93. 6 indexed citations
17.
Cabré, Rosanna, Alba Naudí, Mariona Jové, et al.. (2017). Lipid Profile in Human Frontal Cortex is Sustained Throughout Healthy Adult Lifespan to Decay at Advanced Ages. The Journals of Gerontology Series A. 73(6). 703–710. 22 indexed citations
18.
Jové, Mariona, Irene Pradas, Alba Naudí, et al.. (2017). Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome. Oncotarget. 9(4). 4522–4536. 29 indexed citations

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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