NeuroMolecular Medicine

981 papers and 32.2k indexed citations i.

About

The 981 papers published in NeuroMolecular Medicine in the last decades have received a total of 32.2k indexed citations. Papers published in NeuroMolecular Medicine usually cover Molecular Biology (454 papers), Cellular and Molecular Neuroscience (282 papers) and Physiology (219 papers) specifically the topics of Neuroinflammation and Neurodegeneration Mechanisms (127 papers), Alzheimer's disease research and treatments (124 papers) and Neuroscience and Neuropharmacology Research (83 papers). The most active scholars publishing in NeuroMolecular Medicine are Mark P. Mattson, Henriette van Praag, Ronald S. Duman, P. Hemachandra Reddy, Marc Gleichmann, D. Neil Granger, Monika Fleshner, Norman J. Haughey, Anna Ratka and Dong Liu.

In The Last Decade

Fields of papers published in NeuroMolecular Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in NeuroMolecular Medicine. 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 NeuroMolecular Medicine.

Countries where authors publish in NeuroMolecular Medicine

Since Specialization
Citations

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