Ausra Milano

9 papers and 577 indexed citations i.

About

Ausra Milano is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Ausra Milano has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Ausra Milano’s work include Systemic Sclerosis and Related Diseases (6 papers), Mast cells and histamine (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Ausra Milano is often cited by papers focused on Systemic Sclerosis and Related Diseases (6 papers), Mast cells and histamine (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Ausra Milano collaborates with scholars based in United States, Germany and United Kingdom. Ausra Milano's co-authors include Michael L. Whitfield, M. Kari Connolly, Jennifer L. Sargent, Sarah A. Pendergrass, Timothy H. McCalmont, Howard Y. Chang, Swati Bhattacharyya, John Varga, R Wiskocil and David Fiorentino and has published in prestigious journals such as PLoS ONE, Journal of Investigative Dermatology and Current Rheumatology Reports.

In The Last Decade

Co-authorship network of co-authors of Ausra Milano i

Fields of papers citing papers by Ausra Milano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ausra Milano

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025