Molecular Neurodegeneration

1.2k papers and 71.3k indexed citations i.

About

The 1.2k papers published in Molecular Neurodegeneration in the last decades have received a total of 71.3k indexed citations. Papers published in Molecular Neurodegeneration usually cover Physiology (599 papers), Molecular Biology (506 papers) and Neurology (374 papers) specifically the topics of Alzheimer's disease research and treatments (550 papers), Neuroinflammation and Neurodegeneration Mechanisms (252 papers) and Parkinson's Disease Mechanisms and Treatments (241 papers). The most active scholars publishing in Molecular Neurodegeneration are Dennis W. Dickson, Michael DeTure, Hui Zheng, Robert Vassar, Mark Cookson, David M. Holtzman, Huaxi Xu, Yangling Mu, Fred H. Gage and Guojun Bu.

In The Last Decade

Fields of papers published in Molecular Neurodegeneration

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Molecular Neurodegeneration

Since Specialization
Citations

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