Obdulia Rabal
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies
- Histone Deacetylase Inhibitors Research
- Phosphodiesterase function and regulation
- Epigenetics and DNA Methylation
Papers in
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- Histone Deacetylase Inhibitors Research 11
- Phosphodiesterase function and regulation 7
- Epigenetics and DNA Methylation 6
- Biomedical Text Mining and Ontologies 6
- PI3K/AKT/mTOR signaling in cancer 5
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- Computational Drug Discovery Methods 13
- Co-authors
- Julen Oyarzábal (45 shared papers)Martin Krallinger (7 shared papers)Alfonso Valencia (5 shared papers)Anália Lourenço (3 shared papers)Jordi Teixidó (6 shared papers)José I. Borrell (4 shared papers)Juan A. Sánchez‐Arias (14 shared papers)Miguél Vázquez (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Journal of Medicinal Chemistry (6 papers)PLoS ONE (3 papers)ACS Chemical Neuroscience (3 papers)Blood (2 papers)
- Partner nations
- SpainChinaUnited States
In The Last Decade
Obdulia Rabal
58 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 138
- Computational Theory and Mathematics 376
- Molecular Biology 1.2k
- Pharmacology 270
- Aging 16
- Organic Chemistry 231
Countries citing papers authored by Obdulia Rabal
This map shows the geographic impact of Obdulia Rabal'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 Obdulia Rabal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Obdulia Rabal more than expected).
Fields of papers citing papers by Obdulia Rabal
This network shows the impact of papers produced by Obdulia Rabal. 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 Obdulia Rabal. The network helps show where Obdulia Rabal may publish in the future.
Co-authors
The 25 scholars most cited alongside Obdulia Rabal, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 211 | |
| 2 | 2015 | 175 | |
| 3 | 2016 | 87 | |
| 4 | 2009 | 83 | |
| 5 | 2016 | 75 | |
| 6 | 2009 | 69 | |
| 7 | 2018 | 59 | |
| 8 | 2008 | 55 | |
| 9 | 2015 | 53 | |
| 10 | 2019 | 51 | |
| 11 | 2016 | 41 | |
| 12 | 2017 | 38 | |
| 13 | 2006 | 37 | |
| 14 | 2019 | 36 | |
| 15 | 2018 | 35 | |
| 16 | 2019 | 34 | |
| 17 | 2017 | 33 | |
| 18 | 2019 | 33 | |
| 19 | 2016 | 32 | |
| 20 | 2017 | 32 |
About Obdulia Rabal
Obdulia Rabal is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Organic Chemistry and Hematology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Histone Deacetylase Inhibitors Research (11 papers), Phosphodiesterase function and regulation (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Epigenetics and DNA Methylation (6 papers), Biomedical Text Mining and Ontologies (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Quinazolinone synthesis and applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (376 citations), Molecular Biology (1.2k citations), Pharmacology (270 citations), Aging (16 citations) and Organic Chemistry (231 citations). Obdulia Rabal has collaborated with scholars based in Spain, China and United States. Frequent co-authors include Julen Oyarzábal, Martin Krallinger, Alfonso Valencia, Anália Lourenço, Jordi Teixidó, José I. Borrell, Juan A. Sánchez‐Arias, Miguél Vázquez, Mar Cuadrado‐Tejedor and Ana García‐Osta. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, PLoS ONE, ACS Chemical Neuroscience and Blood.
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.