Dax Torti

17 papers and 324 indexed citations i.

About

Dax Torti is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Dax Torti has authored 17 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Dax Torti’s work include Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lung Cancer Treatments and Mutations (4 papers). Dax Torti is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lung Cancer Treatments and Mutations (4 papers). Dax Torti collaborates with scholars based in Canada, United States and United Kingdom. Dax Torti's co-authors include Corey Nislow, Ron Ammar, Katriina L. Ilves, Hernán López‐Fernández, Jessica A. Hill, Leah E. Cowen, Guri Giaever, Kyle Tsui, Gary D. Bader and Marinella Gebbia and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Annals of Oncology.

In The Last Decade

Co-authorship network of co-authors of Dax Torti i

Fields of papers citing papers by Dax Torti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dax Torti

Since Specialization
Citations

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