G Danieli

30 papers and 570 indexed citations i.

About

G Danieli is a scholar working on Rheumatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, G Danieli has authored 30 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 11 papers in Immunology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in G Danieli’s work include Systemic Lupus Erythematosus Research (12 papers), Systemic Sclerosis and Related Diseases (8 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). G Danieli is often cited by papers focused on Systemic Lupus Erythematosus Research (12 papers), Systemic Sclerosis and Related Diseases (8 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). G Danieli collaborates with scholars based in Italy, Israel and The Netherlands. G Danieli's co-authors include Maria Giovanna Danieli, Armando Gabrielli, A Corvetta, Armando Gabrielli, Aldo Salvi, Paolo Fraticelli, M Montroni, Marco Candela, Irun R. Cohen and Frank DeLustro and has published in prestigious journals such as Nature, AIDS and Journal of Autoimmunity.

In The Last Decade

Co-authorship network of co-authors of G Danieli i

Fields of papers citing papers by G Danieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G Danieli

Since Specialization
Citations

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