Keiko Funa

103 papers and 6.1k indexed citations i.

About

Keiko Funa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Keiko Funa has authored 103 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 27 papers in Cellular and Molecular Neuroscience and 19 papers in Developmental Neuroscience. Recurrent topics in Keiko Funa’s work include Neurogenesis and neuroplasticity mechanisms (19 papers), TGF-β signaling in diseases (17 papers) and Nerve injury and regeneration (16 papers). Keiko Funa is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (19 papers), TGF-β signaling in diseases (17 papers) and Nerve injury and regeneration (16 papers). Keiko Funa collaborates with scholars based in Sweden, Japan and United States. Keiko Funa's co-authors include Carl‐Henrik Heldin, Bengt Westermark, Monica Nistér, Hiroto Izumi, Anja Smits, Peter ten Dijke, Masakiyo Sasahara, C H Heldin, Yngve Olsson and Per Odin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Keiko Funa i

Fields of papers citing papers by Keiko Funa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keiko Funa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keiko Funa. The network helps show where Keiko Funa may publish in the future.

Countries citing papers authored by Keiko Funa

Since Specialization
Citations

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