Katherine McNamara

2.0k citations
5 papers · 979 indexed · 1 hit paper · h-index 4
Topics
Cancer Genomics and Diagnostics (2 papers)Gene expression and cancer classification (2 papers)Advanced Biosensing Techniques and Applications (1 paper)

In The Last Decade

Katherine McNamara

5 papers receiving 973 citations

Hit Papers

Clonal replacement of tumor-specific T cells following PD...20192026202120232019250500750

Peers

Katherine McNamara
Comparison fields: 5 of 61
  • Oncology 725
  • Immunology 598
  • Molecular Biology 300
  • Cancer Research 156
  • Pulmonary and Respiratory Medicine 78
Replace Samantha Bucktrout with:
Samantha Bucktrout United States
Nana-Ama A.S. Anang United States
Jonathan Chabon United States
Inka Zoernig Germany
Marlous van den Braber Netherlands
Daisy Philips Netherlands
John Engelhardt United States
Hocine R. Hocine France
Tiansheng Yan China
Katherine McNamara relative to Samantha Bucktrout United States Samantha Bucktrout's profile →
Citations per field
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Countries citing papers authored by Katherine McNamara

Since Specialization
Citations

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

Fields of papers citing papers by Katherine McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine McNamara

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine McNamara. A scholar is included among the top collaborators of Katherine McNamara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katherine McNamara. Katherine McNamara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 2
2 57
3 4
4 40
5
Clonal replacement of tumor-specific T cells following PD-1 blockadebreakdown →
876

About Katherine McNamara

Katherine McNamara is a scholar working on Cancer Research, Oncology and Spectroscopy, having authored 5 papers that have together received 979 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Immunology (598 citations), Oncology (725 citations) and Cancer Research (156 citations). Katherine McNamara has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christina Curtis, Ansuman T. Satpathy, Robin Kageyama, Kavita Y. Sarin, Kathryn E. Yost, Rohit Gupta, Mark M. Davis, Ryanne A. Brown, Chunlin Wang and Howard Y. Chang. Their work appears in journals such as Nature Medicine, Nature Communications and Breast Cancer Research.

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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