Daniel Yekutieli

41 papers and 13.4k indexed citations i.

About

Daniel Yekutieli is a scholar working on Molecular Biology, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Daniel Yekutieli has authored 41 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Statistics and Probability and 10 papers in Management Science and Operations Research. Recurrent topics in Daniel Yekutieli’s work include Statistical Methods in Clinical Trials (14 papers), Gene expression and cancer classification (12 papers) and Optimal Experimental Design Methods (10 papers). Daniel Yekutieli is often cited by papers focused on Statistical Methods in Clinical Trials (14 papers), Gene expression and cancer classification (12 papers) and Optimal Experimental Design Methods (10 papers). Daniel Yekutieli collaborates with scholars based in Israel, United States and Italy. Daniel Yekutieli's co-authors include Yoav Benjamini, Abba Μ. Krieger, Anat Reiner‐Benaim, Ruth Heller, Peter H. Westfall, Burt Holland, Don Edwards, Ajit C. Tamhane, Juliet Popper Shaffer and Anat Baharad and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Daniel Yekutieli i

Fields of papers citing papers by Daniel Yekutieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Yekutieli

Since Specialization
Citations

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