Alejandro Seco-González
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 1
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- Long-Term Effects of COVID-19 2
- Co-authors
- Rebeca García‐Fandiño (5 shared papers)Daniel Conde-Torres (2 shared papers)Ángel Piñeiro (5 shared papers)Alfonso Cabezón (2 shared papers)Paula Antelo-Riveiro (4 shared papers)Alexandre Blanco-González (2 shared papers)Susana B. Bravo (2 shared papers)Emilio Rodríguez‐Ruiz (2 shared papers)
In The Last Decade
Alejandro Seco-González
3 papers receiving 281 citations
Alejandro Seco-González's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 92
- Computational Theory and Mathematics 104
- Biophysics 18
- Health Information Management 11
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Alejandro Seco-González
This map shows the geographic impact of Alejandro Seco-González'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 Alejandro Seco-González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Seco-González more than expected).
Fields of papers citing papers by Alejandro Seco-González
This network shows the impact of papers produced by Alejandro Seco-González. 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 Alejandro Seco-González. The network helps show where Alejandro Seco-González may publish in the future.
Co-authors
The 8 scholars most cited alongside Alejandro Seco-González, 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 | The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies Hit paper breakdown → | 2023 | 288 |
| 2 | 2024 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 |
About Alejandro Seco-González
Alejandro Seco-González is a scholar working on Infectious Diseases, Neurology, Molecular Biology, Urban Studies and Critical Care and Intensive Care Medicine, having authored 5 papers that have together received 297 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (2 papers), COVID-19 Clinical Research Studies (2 papers), Cell Image Analysis Techniques (1 paper), PARP inhibition in cancer therapy (1 paper), Computational Drug Discovery Methods (1 paper), COVID-19 diagnosis using AI (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Advanced Computing and Algorithms (1 paper). The work is most often cited by research in Health Informatics (92 citations), Computational Theory and Mathematics (104 citations), Biophysics (18 citations), Health Information Management (11 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Alejandro Seco-González has collaborated with scholars based in Spain and Norway. Frequent co-authors include Rebeca García‐Fandiño, Daniel Conde-Torres, Ángel Piñeiro, Alfonso Cabezón, Paula Antelo-Riveiro, Alexandre Blanco-González, Susana B. Bravo and Emilio Rodríguez‐Ruiz. Their work appears in journals such as Journal of Infection and Public Health, Journal of Molecular Modeling, Pharmaceuticals and Frontiers in Immunology.
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.