Ignacio Flores
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Physiology top 1%
- Telomeres, Telomerase, and Senescence 15
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 6
- Sphingolipid Metabolism and Signaling 5
- Congenital heart defects research 4
- Mitochondrial Function and Pathology 2
- Geriatrics and Gerontology top 5%
- Genetics top 5%
- Mesenchymal stem cell research 6
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- Tissue Engineering and Regenerative Medicine 5
- Co-authors
- Marı́a A. BlascoMaría L. CayuelaPeter KlattÁgueda M. TejeraManuel SerranoAntonio MaraverAnder MatheuJuana M. Flores
- Cited by
- AgingPhysiologyMolecular Biology
- Journals
- The Journal of Immunology (4 papers)The Journal of Cell Biology (3 papers)Nature Communications (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Ignacio Flores
34 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 106
- Aging 543
- Physiology 1.3k
- Molecular Biology 1.9k
- Geriatrics and Gerontology 85
- Genetics 224
Countries citing papers authored by Ignacio Flores
This map shows the geographic impact of Ignacio Flores'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 Ignacio Flores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Flores more than expected).
Fields of papers citing papers by Ignacio Flores
This network shows the impact of papers produced by Ignacio Flores. 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 Ignacio Flores. The network helps show where Ignacio Flores may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ignacio Flores, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | The weight of the rich: improving surveys using tax data | 2022 | 0 |
| 4 | 2022 | 1 | |
| 5 | 2018 | 13 | |
| 6 | 2017 | 0 | |
| 7 | 2016 | 54 | |
| 8 | 2013 | 70 | |
| 9 | 2010 | 103 | |
| 10 | 2009 | 144 | |
| 11 | 2009 | 135 | |
| 12 | 2008 | 133 | |
| 13 | 2008 | 344 | |
| 14 | 2007 | 361 | |
| 15 | 2006 | 166 | |
| 16 | 2004 | 53 | |
| 17 | 1999 | 54 | |
| 18 | Detección de períodos de sequía en la zona media del estado de San Luis Potosí, con base en registros de precipitación mensual | 1998 | 0 |
| 19 | 1996 | 109 | |
| 20 | 1992 | 4 |
About Ignacio Flores
Ignacio Flores is a scholar working on Aging, Physiology and Genetics, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (15 papers), Pluripotent Stem Cells Research (6 papers), Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Congenital heart defects research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (543 citations), Physiology (1.3k citations) and Molecular Biology (1.9k citations). Ignacio Flores has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marı́a A. Blasco, María L. Cayuela, Peter Klatt, Águeda M. Tejera, Manuel Serrano, Antonio Maraver, Ander Matheu, Juana M. Flores, José Viña and Consuelo Borrás. Their work appears in journals such as The Journal of Immunology, The Journal of Cell Biology, Nature Communications, The Journal of Experimental Medicine and FEBS Letters.
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.