Dana Pe’er

111 papers and 20.9k indexed citations i.

About

Dana Pe’er is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dana Pe’er has authored 111 papers receiving a total of 20.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 30 papers in Oncology and 29 papers in Immunology. Recurrent topics in Dana Pe’er’s work include Single-cell and spatial transcriptomics (42 papers), Cancer Genomics and Diagnostics (19 papers) and Gene Regulatory Network Analysis (18 papers). Dana Pe’er is often cited by papers focused on Single-cell and spatial transcriptomics (42 papers), Cancer Genomics and Diagnostics (19 papers) and Gene Regulatory Network Analysis (18 papers). Dana Pe’er collaborates with scholars based in United States, Germany and Canada. Dana Pe’er's co-authors include Nir Friedman, Garry P. Nolan, Iftach Nachman, Sean C. Bendall, Michal Linial, Erin F. Simonds, Jacob Levine, Karen Sachs, Michelle D. Tadmor and El-ad David Amir and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Dana Pe’er i

Fields of papers citing papers by Dana Pe’er

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dana Pe’er

Since Specialization
Citations

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