Daiki Ueno

21 papers and 400 indexed citations i.

About

Daiki Ueno is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Daiki Ueno has authored 21 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Daiki Ueno’s work include Renal cell carcinoma treatment (11 papers), Renal and related cancers (6 papers) and Cancer Genomics and Diagnostics (5 papers). Daiki Ueno is often cited by papers focused on Renal cell carcinoma treatment (11 papers), Renal and related cancers (6 papers) and Cancer Genomics and Diagnostics (5 papers). Daiki Ueno collaborates with scholars based in Japan, United States and China. Daiki Ueno's co-authors include Brian Shuch, Kazuhide Makiyama, Masahiro Yao, Noboru Nakaigawa, Marta Boeke, Jing Li, Peter M. Glazer, Xun Bao, Ranjini K. Sundaram and Ranjit S. Bindra and has published in prestigious journals such as Nature Genetics, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Daiki Ueno i

Fields of papers citing papers by Daiki Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daiki Ueno

Since Specialization
Citations

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