Translational Neurodegeneration

473 papers and 19.1k indexed citations i.

About

The 473 papers published in Translational Neurodegeneration in the last decades have received a total of 19.1k indexed citations. Papers published in Translational Neurodegeneration usually cover Neurology (218 papers), Physiology (163 papers) and Molecular Biology (160 papers) specifically the topics of Parkinson's Disease Mechanisms and Treatments (162 papers), Alzheimer's disease research and treatments (130 papers) and Neurological disorders and treatments (73 papers). The most active scholars publishing in Translational Neurodegeneration are Hyuk Sung Kwon, Seong‐Ho Koh, Jiawei Zhou, Yingjun Liu, Qinqin Wang, Gang Wang, Shengdi Chen, Meiyu Geng, Xinyi Wang and Riqiang Yan.

In The Last Decade

Fields of papers published in Translational Neurodegeneration

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Translational Neurodegeneration

Since Specialization
Citations

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