Sho Iketani

27 papers and 3.4k indexed citations i.

About

Sho Iketani is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Sho Iketani has authored 27 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 10 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Sho Iketani’s work include SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (7 papers) and Computational Drug Discovery Methods (5 papers). Sho Iketani is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (7 papers) and Computational Drug Discovery Methods (5 papers). Sho Iketani collaborates with scholars based in United States, Hong Kong and Japan. Sho Iketani's co-authors include David D. Ho, Yicheng Guo, Zizhang Sheng, Lihong Liu, Jian Yu, Maple Wang, Yaoxing Huang, Michael T. Yin, Magdalena E. Sobieszczyk and Manoj S. Nair and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Sho Iketani i

Fields of papers citing papers by Sho Iketani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sho Iketani

Since Specialization
Citations

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