Daniel Tabas‐Madrid
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 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)David San León (1 shared paper)Lluı́s Montoliu (1 shared paper)Pilar Cubas (1 shared paper)Florencio Pazos (1 shared paper)
In The Last Decade
Daniel Tabas‐Madrid
14 papers receiving 845 citations
Peers
Comparison fields: 5 of 113
- Cancer Research 174
- Computational Mathematics 6
- Molecular Biology 589
- Structural Biology 12
- Aging 14
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 | 466 | |
| 2 | 2016 | 147 | |
| 3 | 2015 | 48 | |
| 4 | 2018 | 38 | |
| 5 | 2015 | 36 | |
| 6 | 2014 | 29 | |
| 7 | 2016 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2013 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2016 | 6 |
About Daniel Tabas‐Madrid
Daniel Tabas‐Madrid is a scholar working on Molecular Biology, Structural Biology, Genetics, Cancer Research and Materials Chemistry, having authored 14 papers that have together received 852 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (3 papers), MicroRNA in disease regulation (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (174 citations), Computational Mathematics (6 citations), Molecular Biology (589 citations), Structural Biology (12 citations) and Aging (14 citations). Daniel Tabas‐Madrid has collaborated with scholars based in Spain, India and Germany. Frequent co-authors include Alberto Pascual-Montano, Rubén Nogales‐Cadenas, Mónica Franch, Juan Carlos Oliveros, David San León, Lluı́s Montoliu, Pilar Cubas, Florencio Pazos, Carlos Óscar S. Sorzano and Javier Setoaín. Their work appears in journals such as Nucleic Acids Research, Cancers, Journal of Structural Biology, BMC Genomics and Journal of Proteome 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.