Identification of the receptor component of the IκBα–ubiquitin ligase

557 indexed citations
published 1998

Countries where authors are citing Identification of the receptor component of the IκBα–ubiquitin ligase

Specialization
Citations

This map shows the geographic impact of Identification of the receptor component of the IκBα–ubiquitin ligase. 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 Identification of the receptor component of the IκBα–ubiquitin ligase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Identification of the receptor component of the IκBα–ubiquitin ligase more than expected).

Fields of papers citing Identification of the receptor component of the IκBα–ubiquitin ligase

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Identification of the receptor component of the IκBα–ubiquitin ligase. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Identification of the receptor component of the IκBα–ubiquitin ligase.

About Identification of the receptor component of the IκBα–ubiquitin ligase

This paper, published in 1998, received 557 indexed citations . Written by Avraham Yaron, Ada Hatzubai, Matti Davis, Iris Lavon, Sharon Amit, Anthony M. Manning, Jens Andersen, Matthias Mann, Frank Mercurio and Yinon Ben‐Neriah covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (419 citations), Cancer Research (215 citations) and Immunology (175 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/10.1038/25159.

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