Daniel Mucida

76 papers and 10.4k indexed citations i.

About

Daniel Mucida is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Daniel Mucida has authored 76 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Immunology, 17 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Daniel Mucida’s work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (33 papers) and IL-33, ST2, and ILC Pathways (20 papers). Daniel Mucida is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (33 papers) and IL-33, ST2, and ILC Pathways (20 papers). Daniel Mucida collaborates with scholars based in United States, Brazil and Germany. Daniel Mucida's co-authors include Hilde Cheroutre, Mitchell Kronenberg, Yunji Park, Iain Scott, Gisen Kim, Olga Turovskaya, Paul Müller, Sergei I. Grivennikov, Bernardo Sgarbi Reis and Jürgen Scheller and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Daniel Mucida i

Fields of papers citing papers by Daniel Mucida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Mucida

Since Specialization
Citations

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