Juana M. Flores
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 15
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence 40
- Oncology top 1%
- Cancer-related Molecular Pathways 15
- Molecular Biology top 1%
- DNA Repair Mechanisms 19
- Cancer Research top 1%
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- Reproductive System and Pregnancy 7
- T-cell and B-cell Immunology 5
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- Reproductive Physiology in Livestock 6
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- Cancer Research and Treatments 5
- Co-authors
- Marı́a A. BlascoManuel SerranoJuan Martín‐CaballeroPeter KlattEnrique SamperPaula MartínezJorge MoscatÁngeles Durán
- Cited by
- AgingPhysiologyOncology
- Partner nations
- SpainUnited StatesVietnam
In The Last Decade
Juana M. Flores
109 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Aging 1.1k
- Physiology 3.6k
- Oncology 2.2k
- Molecular Biology 5.4k
- Cancer Research 1.1k
Countries citing papers authored by Juana M. Flores
This map shows the geographic impact of Juana M. 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 Juana M. Flores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juana M. Flores more than expected).
Fields of papers citing papers by Juana M. Flores
This network shows the impact of papers produced by Juana M. 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 Juana M. Flores. The network helps show where Juana M. Flores may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juana M. 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 | 2025 | 0 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 32 | |
| 7 | 2018 | 100 | |
| 8 | 2018 | 47 | |
| 9 | 2016 | 196 | |
| 10 | 2015 | 165 | |
| 11 | 2014 | 6 | |
| 12 | 2009 | 47 | |
| 13 | 2007 | 186 | |
| 14 | 2006 | 62 | |
| 15 | 2004 | 14 | |
| 16 | 2000 | 135 | |
| 17 | 2000 | 159 | |
| 18 | 1998 | 17 | |
| 19 | 1992 | 9 | |
| 20 | Reservas nutricionales e inicio de la puesta en Apis mellifera ibérica: Nutritious reserves and oviposition start in Apis mellifera ibérica | 1989 | 1 |
About Juana M. Flores
Juana M. Flores is a scholar working on Aging, Physiology and Oncology, having authored 114 papers that have together received 9.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (40 papers), DNA Repair Mechanisms (19 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers), Cancer-related Molecular Pathways (15 papers), Reproductive System and Pregnancy (7 papers), Reproductive Physiology in Livestock (6 papers), Cancer Research and Treatments (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Aging (1.1k citations), Physiology (3.6k citations) and Oncology (2.2k citations). Juana M. Flores has collaborated with scholars based in Spain, United States and Vietnam. Frequent co-authors include Marı́a A. Blasco, Manuel Serrano, Juan Martín‐Caballero, Peter Klatt, Enrique Samper, Paula Martínez, Jorge Moscat, Ángeles Durán, María T. Díaz‐Meco and Eva González‐Suárez. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.