Julia Tai

17 papers and 659 indexed citations i.

About

Julia Tai is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Julia Tai has authored 17 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Julia Tai’s work include Palliative Care and End-of-Life Issues (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Protein Degradation and Inhibitors (2 papers). Julia Tai is often cited by papers focused on Palliative Care and End-of-Life Issues (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Protein Degradation and Inhibitors (2 papers). Julia Tai collaborates with scholars based in United States and Singapore. Julia Tai's co-authors include Daniel R. Budman, Martin Lesser, Anthony Calabro, Carol Singer, Christine C. Ginocchio, Debra Esernio‐Jenssen, Sylvia R. Kodsi, Andrea M. Auther, Manoj Shah and Ruth Olsen and has published in prestigious journals such as PEDIATRICS, Pain and The Journal of Urology.

In The Last Decade

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

Fields of papers citing papers by Julia Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julia Tai

Since Specialization
Citations

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