José Liñares-Blanco
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Oncology
- Artificial Intelligence
- Co-authors
- Carlos Fernández-LozanoAlejandro PazosAdrián CarballalVíctor MaojoNereida Rodríguez-FernándezFrancisco CedrónFrancisco J. NóvoaAna B. Porto-Pazos
- Topics
- Gut microbiota and health (5 papers)Computational Drug Discovery Methods (3 papers)vaccines and immunoinformatics approaches (1 paper)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
José Liñares-Blanco
9 papers receiving 407 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 214
- Computational Theory and Mathematics 199
- Materials Chemistry 46
- Oncology 46
- Artificial Intelligence 36
Countries citing papers authored by José Liñares-Blanco
This map shows the geographic impact of José Liñares-Blanco'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 José Liñares-Blanco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Liñares-Blanco more than expected).
Fields of papers citing papers by José Liñares-Blanco
This network shows the impact of papers produced by José Liñares-Blanco. 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 José Liñares-Blanco. The network helps show where José Liñares-Blanco may publish in the future.
Co-authorship network of co-authors of José Liñares-Blanco
This figure shows the co-authorship network connecting the top 25 collaborators of José Liñares-Blanco. A scholar is included among the top collaborators of José Liñares-Blanco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José Liñares-Blanco. José Liñares-Blanco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | A review on machine learning approaches and trends in drug discoverybreakdown → | 264 |
| 6 | 26 | |
| 7 | 31 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 51 |
About José Liñares-Blanco
José Liñares-Blanco is a scholar working on Computational Theory and Mathematics, Microbiology and Molecular Biology, having authored 10 papers that have together received 419 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Computational Drug Discovery Methods (3 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Computational Theory and Mathematics (199 citations), Health Informatics (11 citations) and Molecular Biology (214 citations). José Liñares-Blanco has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Carlos Fernández-Lozano, Alejandro Pazos, Adrián Carballal, Víctor Maojo, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Nóvoa, Ana B. Porto-Pazos, Cristian R. Munteanu and Guillermo López–Campos. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.