Gen Kudo

24 papers and 574 indexed citations i.

About

Gen Kudo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Gen Kudo has authored 24 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Rheumatology. Recurrent topics in Gen Kudo’s work include Neuroscience and Neuropharmacology Research (4 papers), Folate and B Vitamins Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Gen Kudo is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Folate and B Vitamins Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Gen Kudo collaborates with scholars based in Japan, United States and Canada. Gen Kudo's co-authors include Frank J. Gonzalez, Shioko Kimura, Hiroshi Yokota, Tian J. Yang, Masaaki Miyata, Harry V. Gelboin, Pedro M. Fernández‐Salguero, Ying‐Hue Lee, Connie Cheung and Taro E. Akiyama and has published in prestigious journals such as Journal of Biological Chemistry, NeuroImage and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Gen Kudo i

Fields of papers citing papers by Gen Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen Kudo. 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 Gen Kudo. The network helps show where Gen Kudo may publish in the future.

Countries citing papers authored by Gen Kudo

Since Specialization
Citations

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