The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells
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- Nature
In The Last Decade
doi.org/10.1038/s41586-023-05912-0 →Countries where authors are citing The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells
This map shows the geographic impact of The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed 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 The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells more than expected).
Fields of papers citing The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells
This network shows the impact of The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells.
About The NK cell receptor NKp46 recognizes ecto-calreticulin on ER-stressed cells
This paper, published in 2023, received 108 indexed citations . Written by Sumit Sen Santara, Dian-Jang Lee, Ângela C. Crespo, Jun Hu, Caitlin Walker, Xiyu Ma, Ying Zhang, Sourav Chowdhury, Karla F. Meza‐Sosa and Mercedes Lewandrowski covering the research area of Immunology and Cell Biology. It is primarily cited by scholars working on Immunology (79 citations), Oncology (47 citations) and Molecular Biology (15 citations). Published in Nature.
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/s41586-023-05912-0.