Federico Goodsaid

60 papers and 2.2k indexed citations i.

About

Federico Goodsaid is a scholar working on Molecular Biology, Immunology and Statistics and Probability. According to data from OpenAlex, Federico Goodsaid has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Immunology and 13 papers in Statistics and Probability. Recurrent topics in Federico Goodsaid’s work include Statistical Methods in Clinical Trials (13 papers), Gene expression and cancer classification (11 papers) and Computational Drug Discovery Methods (11 papers). Federico Goodsaid is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Gene expression and cancer classification (11 papers) and Computational Drug Discovery Methods (11 papers). Federico Goodsaid collaborates with scholars based in United States, Mexico and Italy. Federico Goodsaid's co-authors include Felix W. Frueh, Weida Tong, Leming Shi, Louis van de Locht, John Raemaekers, Evelyn Tönnissen, Caroline M.P.W. Mandigers, Jules P.P. Meijerink, William B. Mattes and Lei Guo and has published in prestigious journals such as Nature Biotechnology, Nature Reviews Genetics and Nature Reviews Drug Discovery.

In The Last Decade

Co-authorship network of co-authors of Federico Goodsaid i

Fields of papers citing papers by Federico Goodsaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Goodsaid

Since Specialization
Citations

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