Alfonso Valencia
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 5
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- Biomedical Text Mining and Ontologies 7
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 1
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- Genomics and Rare Diseases 1
- Co-authors
- Christos OuzounisChristian BlaschkeMiguel A. Andrade‐NavarroMartin KrallingerLynette HirschmanFlorian LeitnerLarry SmithLorraine Tanabe
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Alfonso Valencia
10 papers receiving 705 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 394
- Molecular Biology 684
- Computational Theory and Mathematics 47
- Information Systems and Management 18
- Genetics 46
Countries citing papers authored by Alfonso Valencia
This map shows the geographic impact of Alfonso Valencia'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 Alfonso Valencia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfonso Valencia more than expected).
Fields of papers citing papers by Alfonso Valencia
This network shows the impact of papers produced by Alfonso Valencia. 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 Alfonso Valencia. The network helps show where Alfonso Valencia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alfonso Valencia, 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 | Machine Reading of Biomedical Texts about Alzheimer's Disease. | 2012 | 3 |
| 2 | 2012 | 116 | |
| 3 | 2012 | 22 | |
| 4 | 2012 | 30 | |
| 5 | 2008 | 148 | |
| 6 | 2008 | 2 | |
| 7 | Automatic extraction of biological information from scientific text: protein-protein interactions. | 1999 | 330 |
| 8 | 1998 | 54 | |
| 9 | 1998 | 23 | |
| 10 | 1996 | 17 |
About Alfonso Valencia
Alfonso Valencia is a scholar working on Artificial Intelligence, Molecular Biology, Insect Science, Ecology and Genetics, having authored 10 papers that have together received 745 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (5 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Rare Diseases (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Artificial Intelligence (394 citations), Molecular Biology (684 citations), Computational Theory and Mathematics (47 citations), Information Systems and Management (18 citations) and Genetics (46 citations). Alfonso Valencia has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Christos Ouzounis, Christian Blaschke, Miguel A. Andrade‐Navarro, Martin Krallinger, Lynette Hirschman, Florian Leitner, Larry Smith, Lorraine Tanabe, Alexander A. Morgan and Javier Tamames. Their work appears in journals such as Bioinformatics, Database, FEBS Letters, Journal of Molecular Evolution and Genome 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.