Obdulia Rabal
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
Papers in
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- Histone Deacetylase Inhibitors Research 12
- Epigenetics and DNA Methylation 10
- Biomedical Text Mining and Ontologies 7
- Phosphodiesterase function and regulation 7
- PI3K/AKT/mTOR signaling in cancer 6
- Cancer-related gene regulation 5
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- Computational Drug Discovery Methods 15
- Co-authors
- Julen Oyarzábal (43 shared papers)Martin Krallinger (7 shared papers)Alfonso Valencia (5 shared papers)Anália Maria Garcia Lourenço (3 shared papers)Jordi Teixidó (5 shared papers)Miguél Vázquez (3 shared papers)José Ignacio Borrell (4 shared papers)Juan Antonio Sánchez-Arias (14 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Journal of Medicinal Chemistry (7 papers)Journal of Cheminformatics (3 papers)ACS Chemical Neuroscience (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)
- Partner nations
- SpainChinaUnited States
In The Last Decade
Obdulia Rabal
65 papers receiving 2.7k citations
Obdulia Rabal's Hit Papers
Peers
Comparison fields: 5 of 146
- Computational Theory and Mathematics 520
- Molecular Biology 1.9k
- Pharmacology 298
- Artificial Intelligence 430
- Aging 19
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 309 | |
| 2 | 2017 | 219 | |
| 3 | 2015 | 196 | |
| 4 | 2019 | 150 | |
| 5 | 2017 | 149 | |
| 6 | 2018 | 109 | |
| 7 | 2009 | 91 | |
| 8 | 2016 | 91 | |
| 9 | AI is a viable alternative to high throughput screening: a 318-target study Hit paper breakdown → | 2024 | 90 |
| 10 | 2016 | 79 | |
| 11 | 2009 | 72 | |
| 12 | 2018 | 61 | |
| 13 | 2015 | 59 | |
| 14 | 2008 | 59 | |
| 15 | 2019 | 59 | |
| 16 | 2018 | 49 | |
| 17 | 2016 | 43 | |
| 18 | 2017 | 41 | |
| 19 | 2019 | 38 | |
| 20 | 2017 | 38 |
About Obdulia Rabal
Obdulia Rabal is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Hematology and Genetics, having authored 65 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Histone Deacetylase Inhibitors Research (12 papers), Epigenetics and DNA Methylation (10 papers), Biomedical Text Mining and Ontologies (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Phosphodiesterase function and regulation (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Computational Theory and Mathematics (520 citations), Molecular Biology (1.9k citations), Pharmacology (298 citations), Artificial Intelligence (430 citations) and Aging (19 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 Maria Garcia Lourenço, Jordi Teixidó, Miguél Vázquez, José Ignacio Borrell, Juan Antonio Sánchez-Arias, Ana García‐Osta and Ana Ugarte. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Journal of Cheminformatics, ACS Chemical Neuroscience and Bioorganic & Medicinal Chemistry Letters.
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.