Eduardo Eyras
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 9
- Molecular Biology top 1%
- RNA Research and Splicing 53
- RNA modifications and cancer 48
- RNA and protein synthesis mechanisms 39
- Genomics and Chromatin Dynamics 12
- Genomics and Phylogenetic Studies 7
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- Black Holes and Theoretical Physics 8
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories 7
- Aging top 10%
- Co-authors
- Endre SebestyénBabita SinghMireya PlassJuan L. TrincadoEduard Porta‐PardoAdam GodzikHéctor Climente-GonzálezJuan Valcárcel
- Partner nations
- SpainAustraliaUnited Kingdom
In The Last Decade
Eduardo Eyras
83 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 1.2k
- Molecular Biology 4.6k
- Nuclear and High Energy Physics 388
- Astronomy and Astrophysics 354
- Aging 24
Countries citing papers authored by Eduardo Eyras
This map shows the geographic impact of Eduardo Eyras'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 Eduardo Eyras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Eyras more than expected).
Fields of papers citing papers by Eduardo Eyras
This network shows the impact of papers produced by Eduardo Eyras. 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 Eduardo Eyras. The network helps show where Eduardo Eyras may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eduardo Eyras, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 92 | |
| 8 | 2018 | 15 | |
| 9 | SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditionsbreakdown → | 2018 | 355 |
| 10 | 2017 | 175 | |
| 11 | The Functional Impact of Alternative Splicing in Cancerbreakdown → | 2017 | 377 |
| 12 | 2016 | 34 | |
| 13 | 2016 | 193 | |
| 14 | 2016 | 38 | |
| 15 | 2015 | 128 | |
| 16 | 2015 | 165 | |
| 17 | 2011 | 123 | |
| 18 | 2010 | 156 | |
| 19 | 2007 | 131 | |
| 20 | 2004 | 62 |
About Eduardo Eyras
Eduardo Eyras is a scholar working on Cancer Research, Molecular Biology, Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 84 papers that have together received 5.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (53 papers), RNA modifications and cancer (48 papers), RNA and protein synthesis mechanisms (39 papers), Genomics and Chromatin Dynamics (12 papers), Cancer-related molecular mechanisms research (9 papers), Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (7 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (4.6k citations), Nuclear and High Energy Physics (388 citations), Astronomy and Astrophysics (354 citations) and Aging (24 citations). Eduardo Eyras has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include Endre Sebestyén, Babita Singh, Mireya Plass, Juan L. Trincado, Eduard Porta‐Pardo, Adam Godzik, Héctor Climente-González, Juan Valcárcel, Amadís Pagès and Nicolás Bellora. Their work appears in journals such as Nucleic Acids Research, Genome biology, Nuclear Physics B, RNA and Molecular Cell.
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.