Daniela A. Moraes

45 papers and 1.1k indexed citations i.

About

Daniela A. Moraes is a scholar working on Pathology and Forensic Medicine, Genetics and Surgery. According to data from OpenAlex, Daniela A. Moraes has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pathology and Forensic Medicine, 11 papers in Genetics and 10 papers in Surgery. Recurrent topics in Daniela A. Moraes’s work include Systemic Sclerosis and Related Diseases (20 papers), Pancreatic Islet Dysfunction and Regeneration (9 papers) and Diabetes and associated disorders (9 papers). Daniela A. Moraes is often cited by papers focused on Systemic Sclerosis and Related Diseases (20 papers), Pancreatic Islet Dysfunction and Regeneration (9 papers) and Diabetes and associated disorders (9 papers). Daniela A. Moraes collaborates with scholars based in Brazil, United States and France. Daniela A. Moraes's co-authors include Maria Carolina Oliveira, Belinda Pinto Simões, Júlio César Voltarelli, Kelen Cristina Ribeiro Malmegrim, Fabiano Pieroni, Ana Beatriz P. L. Stracieri, Richard K. Burt, Carlos Eduardo Barra Couri, Milton César Foss and Marina A. Coutinho and has published in prestigious journals such as The Lancet, JAMA and Blood.

In The Last Decade

Co-authorship network of co-authors of Daniela A. Moraes i

Fields of papers citing papers by Daniela A. Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela A. Moraes. 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 Daniela A. Moraes. The network helps show where Daniela A. Moraes may publish in the future.

Countries citing papers authored by Daniela A. Moraes

Since Specialization
Citations

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