A family of proteins that inhibit signalling through tyrosine kinase receptors

572 indexed citations

Abstract

loading...

About

This paper, published in 1997, received 572 indexed citations. Written by Alexei Kharitonenkov, Zhengjun Chen, I Sures, Hongyang Wang and Axel Ullrich covering the research area of Molecular Biology and Oncology. It is primarily cited by scholars working on Immunology (417 citations), Molecular Biology (257 citations) and Oncology (99 citations). Published in Nature.

In The Last Decade

doi.org/10.1038/386181a0 →

Countries where authors are citing A family of proteins that inhibit signalling through tyrosine kinase receptors

Specialization
Citations

This map shows the geographic impact of A family of proteins that inhibit signalling through tyrosine kinase receptors. 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 A family of proteins that inhibit signalling through tyrosine kinase receptors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A family of proteins that inhibit signalling through tyrosine kinase receptors more than expected).

Fields of papers citing A family of proteins that inhibit signalling through tyrosine kinase receptors

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A family of proteins that inhibit signalling through tyrosine kinase receptors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A family of proteins that inhibit signalling through tyrosine kinase receptors.

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/10.1038/386181a0.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026