Kate McNamara

About

Kate McNamara is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, Kate McNamara has authored 10 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Kate McNamara’s work include Lung Cancer Treatments and Mutations (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Pain Mechanisms and Treatments (1 paper). Kate McNamara is often cited by papers focused on Lung Cancer Treatments and Mutations (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Pain Mechanisms and Treatments (1 paper). Kate McNamara collaborates with scholars based in United States and Canada. Kate McNamara's co-authors include Kwok‐Kin Wong, Richard S. Maser, Andrew A. Nierenberg, Naomi M. Simon, Maurizio Fava, Candice Chow, Mark H. Pollack, Robert F. Padera, George I. Papakostas and Roderick T. Bronson and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Kate McNamara i

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Fields of papers citing papers by Kate McNamara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kate McNamara

Since Specialization

Citations

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