Brain and Development

4.6k papers and 85.9k indexed citations
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About

The 4.6k papers published in Brain and Development in the last decades have received a total of 85.9k indexed citations. Papers published in Brain and Development usually cover Molecular Biology (1.3k papers), Psychiatry and Mental health (1.2k papers) and Pediatrics, Perinatology and Child Health (1.2k papers) specifically the topics of Epilepsy research and treatment (849 papers), Neonatal and fetal brain pathology (558 papers) and Genetics and Neurodevelopmental Disorders (552 papers). The most active scholars publishing in Brain and Development are Masaya Segawa, Michael V. Johnston, Neil Gordon, Sachio Takashima, Masashi Mizuguchi, Jun‐ichi Takanashi, Yukio Fukuyama, Akihisa Okumura, Pirkko Santavuori and Bengt Hagberg.

In The Last Decade

Brain and Development

4.4k papers receiving 79.9k citations

Fields of papers published in Brain and Development

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Brain and Development. 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 Brain and Development.

Countries where authors publish in Brain and Development

Since Specialization
Citations

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