Daniela Dadon

7 papers and 587 indexed citations i.

About

Daniela Dadon is a scholar working on Surgery, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniela Dadon has authored 7 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniela Dadon’s work include Ion Channels and Receptors (3 papers), Diabetes Management and Research (3 papers) and Pancreatic Islet Dysfunction and Regeneration (3 papers). Daniela Dadon is often cited by papers focused on Ion Channels and Receptors (3 papers), Diabetes Management and Research (3 papers) and Pancreatic Islet Dysfunction and Regeneration (3 papers). Daniela Dadon collaborates with scholars based in Israel, United States and United Kingdom. Daniela Dadon's co-authors include Baruch Minke, Moshe Parnas, Shaya Lev, Maximilian Peters, Benjamin Gläser, Yuval Dor, Irena Vertkin, Inna Slutsky, Rachel Ben‐Haroush Schyr and Noa Weinberg-Corem and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Cell Metabolism.

In The Last Decade

Co-authorship network of co-authors of Daniela Dadon i

Fields of papers citing papers by Daniela Dadon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Dadon

Since Specialization
Citations

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