Daniel Álvarez-García

7 papers and 570 indexed citations i.

About

Daniel Álvarez-García is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Daniel Álvarez-García has authored 7 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Daniel Álvarez-García’s work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (6 papers) and Enzyme Structure and Function (3 papers). Daniel Álvarez-García is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (6 papers) and Enzyme Structure and Function (3 papers). Daniel Álvarez-García collaborates with scholars based in Spain, Argentina and Australia. Daniel Álvarez-García's co-authors include Xavier Barril, Peter Schmidtke, Sergio Ruiz‐Carmona, Nicolas Foloppe, Roderick E. Hubbard, A. Beatriz Garmendia-Doval, Sam Morley, Szilveszter Juhos, Lucas A. Defelipe and Marcelo A. Martí and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Daniel Álvarez-García i

Fields of papers citing papers by Daniel Álvarez-García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Álvarez-García. 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 Daniel Álvarez-García. The network helps show where Daniel Álvarez-García may publish in the future.

Countries citing papers authored by Daniel Álvarez-García

Since Specialization
Citations

This map shows the geographic impact of Daniel Álvarez-García'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 Daniel Álvarez-García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Álvarez-García 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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