Juan J. Tena
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 29
- Developmental Biology and Gene Regulation 16
- Epigenetics and DNA Methylation 10
- RNA Research and Splicing 9
- Congenital heart defects research 8
- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 5
- Genetics top 5%
- Aging top 10%
- Developmental Neuroscience top 10%
- Cell Biology top 10%
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- Chromosomal and Genetic Variations 10
- Co-authors
- José Luis Gómez-SkármetaElisa de la Calle‐MustienesAna Fernández‐MiñánOzren BogdanovićMiguel ManzanaresIgnacio MaesoFernando CasaresRafael D. Acemel
- Cited by
- Molecular BiologyGeneticsAging
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Juan J. Tena
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.7k
- Genetics 418
- Aging 23
- Developmental Neuroscience 50
- Cell Biology 165
Countries citing papers authored by Juan J. Tena
This map shows the geographic impact of Juan J. Tena'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 Juan J. Tena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan J. Tena more than expected).
Fields of papers citing papers by Juan J. Tena
This network shows the impact of papers produced by Juan J. Tena. 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 Juan J. Tena. The network helps show where Juan J. Tena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan J. Tena, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2017 | 44 | |
| 9 | 2016 | 173 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 87 | |
| 12 | 2014 | 102 | |
| 13 | 2014 | 34 | |
| 14 | 2012 | 15 | |
| 15 | 2012 | 170 | |
| 16 | 2011 | 60 | |
| 17 | 2006 | 108 | |
| 18 | 2005 | 153 | |
| 19 | 2004 | 8 | |
| 20 | La ciencia desaparecida | 2003 | 0 |
About Juan J. Tena
Juan J. Tena is a scholar working on Aging, Molecular Biology and Developmental Neuroscience, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (29 papers), Developmental Biology and Gene Regulation (16 papers), Epigenetics and DNA Methylation (10 papers), Chromosomal and Genetic Variations (10 papers), RNA Research and Splicing (9 papers), Congenital heart defects research (8 papers), Genomics and Phylogenetic Studies (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Genetics (418 citations) and Aging (23 citations). Juan J. Tena has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include José Luis Gómez-Skármeta, Elisa de la Calle‐Mustienes, Ana Fernández‐Miñán, Ozren Bogdanović, Miguel Manzanares, Ignacio Maeso, Fernando Casares, Rafael D. Acemel, José M. Santos-Pereira and Ana Neto. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.