Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells
Impact in
- Oncology 622
- Immunology 575
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.3161 →Countries where authors are citing Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells
This map shows the geographic impact of Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells. 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 Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells more than expected).
Fields of papers citing Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells
This network shows the impact of Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells.
About Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells
This paper, published in 2013, received 811 indexed citations . Written by Paul F. Robbins, Yong‐Chen Lu, Mona El‐Gamil, Yong F. Li, Colin Gross, Jared J. Gartner, Jimmy Lin, Jamie K. Teer, Paul F. Cliften and Eric Tycksen covering the research area of Immunology, Oncology and Molecular Biology. It is primarily cited by scholars working on Oncology (622 citations), Immunology (575 citations), Molecular Biology (210 citations), Genetics (83 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). Published in Nature Medicine.
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.
This paper is also available at doi.org/10.1038/nm.3161.