Pedro M. Quirós
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 8
- Molecular Biology top 1%
- Mitochondrial Function and Pathology 23
- ATP Synthase and ATPases Research 12
- Ubiquitin and proteasome pathways 4
- Physiology top 2%
- Adipose Tissue and Metabolism 5
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 3
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- Acute Myeloid Leukemia Research 6
- Co-authors
- Johan AuwerxCarlos López-Otı́nAdrienne MottisThomas LangerClea BárcenaOlli MatilainenPablo MayoralJosé M.P. Freije
- Partner nations
- SpainSwitzerlandUnited Kingdom
In The Last Decade
Pedro M. Quirós
41 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Aging 414
- Clinical Biochemistry 557
- Molecular Biology 4.5k
- Physiology 1.2k
- Cell Biology 666
Countries citing papers authored by Pedro M. Quirós
This map shows the geographic impact of Pedro M. Quirós'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 Pedro M. Quirós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro M. Quirós more than expected).
Fields of papers citing papers by Pedro M. Quirós
This network shows the impact of papers produced by Pedro M. Quirós. 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 Pedro M. Quirós. The network helps show where Pedro M. Quirós may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro M. Quirós, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 12 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 46 | |
| 5 | 2022 | 41 | |
| 6 | Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesisbreakdown → | 2022 | 192 |
| 7 | 2021 | 4 | |
| 8 | 2020 | 48 | |
| 9 | 2020 | 30 | |
| 10 | Healthspan and lifespan extension by fecal microbiota transplantation into progeroid micebreakdown → | 2019 | 452 |
| 11 | 2018 | 64 | |
| 12 | 2018 | 123 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 120 | |
| 15 | 2016 | 274 | |
| 16 | 2015 | 359 | |
| 17 | 2014 | 175 | |
| 18 | 2014 | 19 | |
| 19 | 2011 | 59 | |
| 20 | 2010 | 35 |
About Pedro M. Quirós
Pedro M. Quirós is a scholar working on Aging, Clinical Biochemistry and Hematology, having authored 41 papers that have together received 6.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (23 papers), ATP Synthase and ATPases Research (12 papers), Metabolism and Genetic Disorders (8 papers), Acute Myeloid Leukemia Research (6 papers), Adipose Tissue and Metabolism (5 papers), Ubiquitin and proteasome pathways (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Aging (414 citations), Clinical Biochemistry (557 citations) and Molecular Biology (4.5k citations). Pedro M. Quirós has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Johan Auwerx, Carlos López-Otı́n, Adrienne Mottis, Thomas Langer, Clea Bárcena, Olli Matilainen, Pablo Mayoral, José M.P. Freije, Robert W. Williams and Miguel A. Prado. Their work appears in journals such as Nature, Science and Cell.
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.