Anna Maria Masci

37 papers and 661 indexed citations i.

About

Anna Maria Masci is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Anna Maria Masci has authored 37 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 16 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Anna Maria Masci’s work include Immune Cell Function and Interaction (9 papers), Biomedical Text Mining and Ontologies (9 papers) and T-cell and B-cell Immunology (7 papers). Anna Maria Masci is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Biomedical Text Mining and Ontologies (9 papers) and T-cell and B-cell Immunology (7 papers). Anna Maria Masci collaborates with scholars based in Italy, United States and China. Anna Maria Masci's co-authors include Luigi Racioppi, Serafino Zappacosta, Chris Mungall, Lindsay G. Cowell, Alexander D. Diehl, Laura Vitiello, Judith A. Blake, Terrence F. Meehan, Mario Galgani and Veronica De Rosa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Co-authorship network of co-authors of Anna Maria Masci i

Fields of papers citing papers by Anna Maria Masci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Maria Masci. 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 Anna Maria Masci. The network helps show where Anna Maria Masci may publish in the future.

Countries citing papers authored by Anna Maria Masci

Since Specialization
Citations

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