Julia Pak

9 papers and 925 indexed citations i.

About

Julia Pak is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Julia Pak has authored 9 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Julia Pak’s work include Fungal and yeast genetics research (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Research and Splicing (3 papers). Julia Pak is often cited by papers focused on Fungal and yeast genetics research (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Research and Splicing (3 papers). Julia Pak collaborates with scholars based in United States, Canada and China. Julia Pak's co-authors include Andrew Fire, Jacqueline Segall, Jay M. Maniar, Sam Guoping Gu, Scott Kennedy, Shouhong Guang, Cecilia C. Mello, Karen L. Artiles, Michael Stadler and Shin Takagi and has published in prestigious journals such as Science, Cell and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Julia Pak i

Fields of papers citing papers by Julia Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julia Pak

Since Specialization
Citations

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