Danielle Kamato

66 papers and 2.5k indexed citations i.

About

Danielle Kamato is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Danielle Kamato has authored 66 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 15 papers in Immunology and Allergy and 14 papers in Immunology. Recurrent topics in Danielle Kamato’s work include TGF-β signaling in diseases (17 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Cell Adhesion Molecules Research (15 papers). Danielle Kamato is often cited by papers focused on TGF-β signaling in diseases (17 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Cell Adhesion Molecules Research (15 papers). Danielle Kamato collaborates with scholars based in Australia, China and United States. Danielle Kamato's co-authors include Peter J. Little, Suowen Xu, Narin Osman, Wenhua Zheng, Iqra Ilyas, Jianping Weng, Sihui Luo, Xueying Zheng, Hossein Babaahmadi‐Rezaei and Terrence J. Piva and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Pharmacological Reviews.

In The Last Decade

Co-authorship network of co-authors of Danielle Kamato i

Fields of papers citing papers by Danielle Kamato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danielle Kamato

Since Specialization
Citations

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