Metabolic Brain Disease

3.0k papers and 58.2k indexed citations i.

About

The 3.0k papers published in Metabolic Brain Disease in the last decades have received a total of 58.2k indexed citations. Papers published in Metabolic Brain Disease usually cover Molecular Biology (884 papers), Physiology (629 papers) and Cellular and Molecular Neuroscience (575 papers) specifically the topics of Neuroscience and Neuropharmacology Research (342 papers), Liver Disease and Transplantation (321 papers) and Metabolism and Genetic Disorders (319 papers). The most active scholars publishing in Metabolic Brain Disease are Roger F. Butterworth, Dan J. Stein, David W. McCandless, Kakulavarapu V. Rama Rao, Christopher F. Rose, Michaël Maes, Willie M. U. Daniels, Vivienne A. Russell, Michael D. Norenberg and M. D. Norenberg.

In The Last Decade

Fields of papers published in Metabolic Brain Disease

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Metabolic Brain Disease. 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 Metabolic Brain Disease.

Countries where authors publish in Metabolic Brain Disease

Since Specialization
Citations

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