Fernando Suárez

26 papers and 556 indexed citations i.

About

Fernando Suárez is a scholar working on Molecular Biology, Hematology and Health Informatics. According to data from OpenAlex, Fernando Suárez has authored 26 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Health Informatics. Recurrent topics in Fernando Suárez’s work include Acute Myeloid Leukemia Research (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Fernando Suárez is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Fernando Suárez collaborates with scholars based in Canada, United States and India. Fernando Suárez's co-authors include Mark D. Minden, Tabitha E. Wood, Robert A. Batey, Rose Hurren, Yanina Eberhard, Xinliang Mao, Aaron D. Schimmer, Shadi Dalili, Marcela Gronda and Craig D. Simpson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Molecular Cell.

In The Last Decade

Co-authorship network of co-authors of Fernando Suárez i

Fields of papers citing papers by Fernando Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Suárez. 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 Fernando Suárez. The network helps show where Fernando Suárez may publish in the future.

Countries citing papers authored by Fernando Suárez

Since Specialization
Citations

This map shows the geographic impact of Fernando Suárez'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 Fernando Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Suárez 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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2025