Alex G. C. de Sá

About

Alex G. C. de Sá is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Alex G. C. de Sá has authored 18 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Alex G. C. de Sá’s work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (2 papers) and MicroRNA in disease regulation (2 papers). Alex G. C. de Sá is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (2 papers) and MicroRNA in disease regulation (2 papers). Alex G. C. de Sá collaborates with scholars based in Australia, Brazil and United Kingdom. Alex G. C. de Sá's co-authors include David B. Ascher, Gisele L. Pappa, Douglas E. V. Pires, Adriano C. M. Pereira, Yoochan Myung, Stephanie Portelli, Douglas E. V. Pires, Alex A. Freitas, Azadeh Alavi and Thanh Nguyen and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Alex G. C. de Sá i

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Fields of papers citing papers by Alex G. C. de Sá

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex G. C. de Sá. 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 Alex G. C. de Sá. The network helps show where Alex G. C. de Sá may publish in the future.

Countries citing papers authored by Alex G. C. de Sá

Since Specialization

Citations

This map shows the geographic impact of Alex G. C. de Sá'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 Alex G. C. de Sá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex G. C. de Sá more than expected).

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.

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