Journal of Molecular Neuroscience

4.1k papers and 91.8k indexed citations i.

About

The 4.1k papers published in Journal of Molecular Neuroscience in the last decades have received a total of 91.8k indexed citations. Papers published in Journal of Molecular Neuroscience usually cover Molecular Biology (2.0k papers), Cellular and Molecular Neuroscience (1.4k papers) and Physiology (765 papers) specifically the topics of Neuroscience and Neuropharmacology Research (460 papers), Alzheimer's disease research and treatments (417 papers) and Neuropeptides and Animal Physiology (396 papers). The most active scholars publishing in Journal of Molecular Neuroscience are Yaniv Assaf, Ofer Pasternak, Mark P. Mattson, Robert Vassar, Illana Gozes, Daniel Offen, Eldad Melamed, Morris H. Baslow, David M. Holtzman and Weihong Pan.

In The Last Decade

Fields of papers published in Journal of Molecular Neuroscience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Molecular Neuroscience. 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 Molecular Neuroscience.

Countries where authors publish in Journal of Molecular Neuroscience

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Molecular Neuroscience. 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 Molecular Neuroscience 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 Molecular Neuroscience 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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