Diego Galeano
Impact in
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 2
- RNA modifications and cancer 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Alberto Paccanaro (7 shared papers)Mark Gerstein (1 shared paper)Shantao Li (1 shared paper)Mateo Torres (1 shared paper)Luca Cernuzzi (2 shared papers)Afshin Beheshti (4 shared papers)Eve Syrkin Wurtele (3 shared papers)Christopher E. Mason (3 shared papers)
- Journals
- Nature Communications (2 papers)BioMed Research International (1 paper)European Journal of Human Genetics (1 paper)Theranostics (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- ParaguayUnited KingdomBrazil
In The Last Decade
Diego Galeano
15 papers receiving 253 citations
Peers
Comparison fields: 5 of 86
- Toxicology 32
- Computational Theory and Mathematics 94
- Health Informatics 6
- Pharmacology 27
- Cancer Research 23
Countries citing papers authored by Diego Galeano
This map shows the geographic impact of Diego Galeano'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 Diego Galeano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Galeano more than expected).
Fields of papers citing papers by Diego Galeano
This network shows the impact of papers produced by Diego Galeano. 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 Diego Galeano. The network helps show where Diego Galeano may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Galeano, 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 | 2020 | 94 | |
| 2 | 2021 | 31 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 25 | |
| 5 | 2022 | 23 | |
| 6 | 2018 | 14 | |
| 7 | 2014 | 13 | |
| 8 | 2024 | 9 | |
| 9 | 2016 | 5 | |
| 10 | 2011 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2013 | 2 | |
| 13 | 1998 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 0 |
About Diego Galeano
Diego Galeano is a scholar working on Molecular Biology, Computational Theory and Mathematics, Rehabilitation, Pharmacology and Cognitive Neuroscience, having authored 16 papers that have together received 257 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (3 papers), Stroke Rehabilitation and Recovery (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Biomedical Text Mining and Ontologies (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Toxicology (32 citations), Computational Theory and Mathematics (94 citations), Health Informatics (6 citations), Pharmacology (27 citations) and Cancer Research (23 citations). Diego Galeano has collaborated with scholars based in Paraguay, United Kingdom and Brazil. Frequent co-authors include Alberto Paccanaro, Mark Gerstein, Shantao Li, Mateo Torres, Luca Cernuzzi, Afshin Beheshti, Eve Syrkin Wurtele, Christopher E. Mason, Saswati Das and Ana Lúcia Leitão. Their work appears in journals such as Nature Communications, BioMed Research International, European Journal of Human Genetics, Theranostics and Cell Reports Methods.
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.