Dana Most

11 papers and 477 indexed citations i.

About

Dana Most is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Dana Most has authored 11 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Neurology. Recurrent topics in Dana Most’s work include Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and MicroRNA in disease regulation (3 papers). Dana Most is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and MicroRNA in disease regulation (3 papers). Dana Most collaborates with scholars based in United States and Israel. Dana Most's co-authors include R. Adron Harris, Laura B. Ferguson, Yuri A. Blednov, Leor N. Katz, Abraham Zangen, Eiran Vadim Harel, Yechiel Levkovitz, Yiftach Roth, Yoram Braw and Roman Gersner and has published in prestigious journals such as Neurology, Neuropsychopharmacology and Neuropharmacology.

In The Last Decade

Co-authorship network of co-authors of Dana Most i

Fields of papers citing papers by Dana Most

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dana Most

Since Specialization
Citations

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