da Fonseca

41 papers and 2.0k indexed citations i.

About

da Fonseca is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, da Fonseca has authored 41 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in da Fonseca’s work include Ubiquitin and proteasome pathways (16 papers), Glycosylation and Glycoproteins Research (6 papers) and Ion channel regulation and function (5 papers) da Fonseca is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Glycosylation and Glycoproteins Research (6 papers) and Ion channel regulation and function (5 papers) da Fonseca collaborates with scholars based in United Kingdom, United States and Germany da Fonseca's co-authors include Edward P. Morris, Jun He, Colin W. Taylor, David Barford, Anne Schreiber, Ziguo Zhang, Eric H. Kong, Ana Toste Rêgo, Radoslav I. Enchev and Matthew Bogyo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of da Fonseca i

Fields of papers citing papers by da Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by da Fonseca

Since Specialization
Citations

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