Journal of Receptors and Signal Transduction

1.3k papers and 21.3k indexed citations i.

About

The 1.3k papers published in Journal of Receptors and Signal Transduction in the last decades have received a total of 21.3k indexed citations. Papers published in Journal of Receptors and Signal Transduction usually cover Molecular Biology (845 papers), Cellular and Molecular Neuroscience (264 papers) and Immunology (138 papers) specifically the topics of Receptor Mechanisms and Signaling (301 papers), Neuropeptides and Animal Physiology (129 papers) and Computational Drug Discovery Methods (109 papers). The most active scholars publishing in Journal of Receptors and Signal Transduction are Mustafa Nazıroğlu, Harmit S. Ranhotra, Kim A. Neve, Jeremy K. Seamans, Heather Trantham‐Davidson, Hua‐Fu Zhou, Tao Liu, Markus H. Heim, Wenzhou Liu and Yu Sun.

In The Last Decade

Fields of papers published in Journal of Receptors and Signal Transduction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Receptors and Signal Transduction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Receptors and Signal Transduction.

Countries where authors publish in Journal of Receptors and Signal Transduction

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Receptors and Signal Transduction. 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 papers published in Journal of Receptors and Signal Transduction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Receptors and Signal Transduction more than expected).

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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