Daniel Tabas‐Madrid
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 2
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- RNA and protein synthesis mechanisms 2
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- Advanced Electron Microscopy Techniques and Applications 2
- Co-authors
- Alberto Pascual-Montano (7 shared papers)Rubén Nogales‐Cadenas (3 shared papers)Mónica Franch (3 shared papers)Juan Carlos Oliveros (2 shared papers)Lluı́s Montoliu (1 shared paper)David San León (1 shared paper)Florencio Pazos (1 shared paper)Pilar Cubas (1 shared paper)
In The Last Decade
Daniel Tabas‐Madrid
15 papers receiving 929 citations
Peers
Comparison fields: 5 of 117
- Cancer Research 148
- Computational Mathematics 6
- Structural Biology 13
- Molecular Biology 573
- Aging 13
Countries citing papers authored by Daniel Tabas‐Madrid
This map shows the geographic impact of Daniel Tabas‐Madrid'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 Daniel Tabas‐Madrid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tabas‐Madrid more than expected).
Fields of papers citing papers by Daniel Tabas‐Madrid
This network shows the impact of papers produced by Daniel Tabas‐Madrid. 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 Daniel Tabas‐Madrid. The network helps show where Daniel Tabas‐Madrid may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Tabas‐Madrid, 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 | 2012 | 478 | |
| 2 | 2016 | 168 | |
| 3 | 2015 | 63 | |
| 4 | 2018 | 41 | |
| 5 | 2015 | 40 | |
| 6 | 2014 | 32 | |
| 7 | 2013 | 24 | |
| 8 | 2016 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2013 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 6 |
About Daniel Tabas‐Madrid
Daniel Tabas‐Madrid is a scholar working on Molecular Biology, Structural Biology, Cancer Research, Spectroscopy and Obstetrics and Gynecology, having authored 15 papers that have together received 942 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Genomics and Chromatin Dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (148 citations), Computational Mathematics (6 citations), Structural Biology (13 citations), Molecular Biology (573 citations) and Aging (13 citations). Daniel Tabas‐Madrid has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Alberto Pascual-Montano, Rubén Nogales‐Cadenas, Mónica Franch, Juan Carlos Oliveros, Lluı́s Montoliu, David San León, Florencio Pazos, Pilar Cubas, Carlos Óscar S. Sorzano and Javier Setoaín. Their work appears in journals such as Nucleic Acids Research, Journal of Proteome Research, BMC Bioinformatics, BMC Genomics and Journal of Structural Biology.
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.