Ignacio Flores
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
- Physiology 18
- Telomeres, Telomerase, and Senescence 16
- Genetics 6
- Mesenchymal stem cell research 6
- Co-authors
- Marı́a A. Blasco (15 shared papers)María Luisa Cayuela (2 shared papers)Peter Klatt (3 shared papers)Juana María Flores (2 shared papers)Manuel Serrano (2 shared papers)Consuelo Borrás (2 shared papers)José Viña (2 shared papers)Ander Matheu (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)The Journal of Cell Biology (3 papers)Nature (2 papers)The Journal of Experimental Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Ignacio Flores
40 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 113
- Aging 559
- Physiology 1.3k
- Molecular Biology 2.0k
- Geriatrics and Gerontology 84
- Developmental Neuroscience 76
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-authors
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
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 393 | |
| 2 | 2008 | 387 | |
| 3 | 2005 | 368 | |
| 4 | 2016 | 313 | |
| 5 | 2006 | 184 | |
| 6 | 2019 | 179 | |
| 7 | 2009 | 156 | |
| 8 | 2009 | 152 | |
| 9 | 2008 | 138 | |
| 10 | 2010 | 114 | |
| 11 | 1996 | 111 | |
| 12 | 2013 | 70 | |
| 13 | 2009 | 67 | |
| 14 | 2015 | 66 | |
| 15 | 2016 | 62 | |
| 16 | 1993 | 61 | |
| 17 | 2016 | 60 | |
| 18 | 1994 | 58 | |
| 19 | 2004 | 56 | |
| 20 | 2007 | 56 |
About Ignacio Flores
Ignacio Flores is a scholar working on Physiology, Genetics, Molecular Biology, Immunology and Aging, having authored 41 papers that have together received 3.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (16 papers), Mesenchymal stem cell research (6 papers), Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Congenital heart defects research (5 papers), Mitochondrial Function and Pathology (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (559 citations), Physiology (1.3k citations), Molecular Biology (2.0k citations), Geriatrics and Gerontology (84 citations) and Developmental Neuroscience (76 citations). Ignacio Flores has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marı́a A. Blasco, María Luisa Cayuela, Peter Klatt, Juana María Flores, Manuel Serrano, Consuelo Borrás, José Viña, Ander Matheu, Antonio Maraver and Roberta Benetti. Their work appears in journals such as The Journal of Immunology, The Journal of Cell Biology, Nature, The Journal of Experimental Medicine and PLoS ONE.
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.