Neural Regeneration Research

5.0k papers and 63.7k indexed citations i.

About

The 5.0k papers published in Neural Regeneration Research in the last decades have received a total of 63.7k indexed citations. Papers published in Neural Regeneration Research usually cover Molecular Biology (1.6k papers), Cellular and Molecular Neuroscience (1.6k papers) and Neurology (1.1k papers) specifically the topics of Nerve injury and regeneration (933 papers), Neuroinflammation and Neurodegeneration Mechanisms (698 papers) and Neurogenesis and neuroplasticity mechanisms (656 papers). The most active scholars publishing in Neural Regeneration Research are Bridget Martinez, Kenneth Maiese, PhilipV Peplow, Yaojun Ju, Kin Yip Tam, Kangyong Liu, Yinyi Sun, Hidenori Suzuki, Pradip K. Kamat and Xijing He.

In The Last Decade

Fields of papers published in Neural Regeneration Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neural Regeneration Research. 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 Neural Regeneration Research.

Countries where authors publish in Neural Regeneration Research

Since Specialization
Citations

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