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
-
- Circular RNAs in diseases 5
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 4
- Co-authors
- José Viña (16 shared papers)María Cernada (8 shared papers)Máximo Vento (8 shared papers)Juan Gambini (7 shared papers)Consuelo Borrás (7 shared papers)María Carmen Collado (5 shared papers)Daniel Monleón (5 shared papers)Rosario Gil‐Benso (4 shared papers)
- Journals
- International Journal of Molecular Sciences (7 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)European Journal of Pharmacology (2 papers)Annals of Oncology (2 papers)
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
Eva Serna
63 papers receiving 784 citations
Peers
Comparison fields: 5 of 110
- Aging 59
- Cancer Research 181
- Geriatrics and Gerontology 34
- Genetics 65
- Molecular Biology 395
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 84 | |
| 2 | 2012 | 74 | |
| 3 | 2016 | 44 | |
| 4 | 2014 | 40 | |
| 5 | 2016 | 39 | |
| 6 | 2016 | 33 | |
| 7 | 2015 | 30 | |
| 8 | 2017 | 26 | |
| 9 | 2013 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2014 | 19 | |
| 14 | 2017 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2014 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 11 |
About Eva Serna
Eva Serna is a scholar working on Molecular Biology, Cancer Research, Physiology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 65 papers that have together received 797 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Diet and metabolism studies (7 papers), Neonatal and Maternal Infections (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Circular RNAs in diseases (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Educational Innovations and Technology (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Aging (59 citations), Cancer Research (181 citations), Geriatrics and Gerontology (34 citations), Genetics (65 citations) and Molecular Biology (395 citations). Eva Serna has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include José Viña, María Cernada, Máximo Vento, Juan Gambini, Consuelo Borrás, María Carmen Collado, Daniel Monleón, Rosario Gil‐Benso, Christine Bäuerl and Miguel Cerdá‐Nicolás. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, PLoS ONE, European Journal of Pharmacology and Annals of Oncology.
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.