The Annual Review of Pharmacology and Toxicology · 1×
×2.37k/3kSS
×1.029k/29kPHYSI
×0.418k/46kCMN
×0.42k/4kBN
×1.72k/1kAPM
Citations per year
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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).
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.
About Molecular Pain
The 1.5k papers published in Molecular Pain in the last decades have received a total of 52.5k indexed citations . Papers published in Molecular Pain usually cover Sensory Systems (222 papers), Physiology (1.1k papers) and Cellular and Molecular Neuroscience (666 papers) specifically the topics of Pain Mechanisms and Treatments (1.1k papers), Neuropeptides and Animal Physiology (280 papers), Ion channel regulation and function (257 papers), Neuroscience and Neuropharmacology Research (199 papers), Ion Channels and Receptors (198 papers), Nerve injury and regeneration (128 papers), Botulinum Toxin and Related Neurological Disorders (87 papers) and Musculoskeletal pain and rehabilitation (76 papers). The most active scholars publishing in Molecular Pain are Min Zhuo, Jürgen Sandkühler, Ru‐Rong Ji, Hiroshi Ueda, Marc R. Suter, David D. McKemy, Volker Neugebauer, Andrew J. Todd, Stephen G. Waxman and Yves De Koninck.
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.