Jin Imai

35 papers and 715 indexed citations i.

About

Jin Imai is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Jin Imai has authored 35 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Jin Imai’s work include Inflammatory Bowel Disease (7 papers), Gut microbiota and health (5 papers) and Immune Cell Function and Interaction (3 papers). Jin Imai is often cited by papers focused on Inflammatory Bowel Disease (7 papers), Gut microbiota and health (5 papers) and Immune Cell Function and Interaction (3 papers). Jin Imai collaborates with scholars based in Japan, United States and France. Jin Imai's co-authors include Sho Kitamoto, Nobuhiko Kamada, Hiroko Nagao‐Kitamoto, Kohei Sugihara, Atsushi Hayashi, Peter Kuffa, Naohiro Inohara, Asma Nusrat, Shrinivas Bishu and Merritt Gillilland and has published in prestigious journals such as Cell, Gastroenterology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Jin Imai i

Fields of papers citing papers by Jin Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Imai

Since Specialization
Citations

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