Daniel J. Diaz

About

Daniel J. Diaz is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Daniel J. Diaz has authored 12 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Organic Chemistry and 1 paper in Biomedical Engineering. Recurrent topics in Daniel J. Diaz’s work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (3 papers). Daniel J. Diaz is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (3 papers). Daniel J. Diaz collaborates with scholars based in United States, France and Switzerland. Daniel J. Diaz's co-authors include Andrew D. Ellington, Raghav Shroff, Hal S. Alper, Yan Zhang, Daniel J. Acosta, Wantae Kim, Congzhi Zhu, Nathaniel A. Lynd, Hongyuan Lu and Hannah Cole and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Diaz i

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Fields of papers citing papers by Daniel J. Diaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Diaz. 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 J. Diaz. The network helps show where Daniel J. Diaz may publish in the future.

Countries citing papers authored by Daniel J. Diaz

Since Specialization

Citations

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