Eva Serna
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
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- MicroRNA in disease regulation 7
- Co-authors
- José Viña (15 shared papers)María Cernada (7 shared papers)Máximo Vento (7 shared papers)Consuelo Borrás (6 shared papers)Juan Pablo Gambini (6 shared papers)María Carmen Collado (4 shared papers)Christine Bäuerl (2 shared papers)Gaspar Pérez‐Martínez (2 shared papers)
- Journals
- International Journal of Molecular Sciences (7 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)Free Radical Biology and Medicine (2 papers)Nutrients (2 papers)
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
Eva Serna
61 papers receiving 876 citations
Peers
Comparison fields: 5 of 112
- Aging 68
- Cancer Research 167
- Geriatrics and Gerontology 35
- Genetics 60
- Molecular Biology 382
Countries citing papers authored by Eva Serna
This map shows the geographic impact of Eva Serna'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 Eva Serna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Serna more than expected).
Fields of papers citing papers by Eva Serna
This network shows the impact of papers produced by Eva Serna. 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 Eva Serna. The network helps show where Eva Serna may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Serna, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 89 | |
| 2 | 2012 | 87 | |
| 3 | 2016 | 49 | |
| 4 | 2014 | 48 | |
| 5 | 2016 | 43 | |
| 6 | 2017 | 36 | |
| 7 | 2016 | 36 | |
| 8 | 2015 | 32 | |
| 9 | 2013 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2013 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2010 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2024 | 14 |
About Eva Serna
Eva Serna is a scholar working on Aging, Cancer Research, Molecular Biology, Physiology and Nutrition and Dietetics, having authored 62 papers that have together received 895 indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), MicroRNA in disease regulation (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Neonatal and Maternal Infections (5 papers), Educational Innovations and Technology (4 papers), Bone Metabolism and Diseases (4 papers), Circular RNAs in diseases (4 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Aging (68 citations), Cancer Research (167 citations), Geriatrics and Gerontology (35 citations), Genetics (60 citations) and Molecular Biology (382 citations). Eva Serna has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include José Viña, María Cernada, Máximo Vento, Consuelo Borrás, Juan Pablo Gambini, María Carmen Collado, Christine Bäuerl, Gaspar Pérez‐Martínez, Daniel Monleón and Rosario Gil‐Benso. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Scientific Reports, Free Radical Biology and Medicine and Nutrients.
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.