Molecular Pain

1.5k papers and 49.9k indexed citations i.

About

The 1.5k papers published in Molecular Pain in the last decades have received a total of 49.9k indexed citations. Papers published in Molecular Pain usually cover Physiology (1.1k papers), Cellular and Molecular Neuroscience (658 papers) and Molecular Biology (444 papers) specifically the topics of Pain Mechanisms and Treatments (1.1k papers), Neuropeptides and Animal Physiology (278 papers) and Ion channel regulation and function (257 papers). The most active scholars publishing in Molecular Pain are Min Zhuo, Jürgen Sandkühler, Hiroshi Ueda, Ru‐Rong Ji, Marc R. Suter, David D. McKemy, Andrew J. Todd, Volker Neugebauer, Stephen G. Waxman and Yves De Koninck.

In The Last Decade

Fields of papers published in Molecular Pain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Molecular Pain. 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 Molecular Pain.

Countries where authors publish in Molecular Pain

Since Specialization
Citations

This map shows the geographic impact of research published in Molecular Pain. 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 Molecular Pain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molecular Pain 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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2025