Tanya S. Freedman

18 papers and 683 indexed citations i.

About

Tanya S. Freedman is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tanya S. Freedman has authored 18 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Tanya S. Freedman’s work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Tanya S. Freedman is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Tanya S. Freedman collaborates with scholars based in United States, Norway and Japan. Tanya S. Freedman's co-authors include Arthur Weiss, Haopeng Wang, Henry Goodfellow, Li Yang Hsu, Byron B. Au‐Yeung, Theresa A. Kadlecek, Holger Sondermann, Tanja Kortemme, Gregory D. Friedland and John Kuriyan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Co-authorship network of co-authors of Tanya S. Freedman i

Fields of papers citing papers by Tanya S. Freedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanya S. Freedman. 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 Tanya S. Freedman. The network helps show where Tanya S. Freedman may publish in the future.

Countries citing papers authored by Tanya S. Freedman

Since Specialization
Citations

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