Han‐Seung Yoon

17 papers and 460 indexed citations i.

About

Han‐Seung Yoon is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Han‐Seung Yoon has authored 17 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Oncology. Recurrent topics in Han‐Seung Yoon’s work include AI in cancer detection (3 papers), Cancer Diagnosis and Treatment (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Han‐Seung Yoon is often cited by papers focused on AI in cancer detection (3 papers), Cancer Diagnosis and Treatment (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Han‐Seung Yoon collaborates with scholars based in New Zealand, Japan and United States. Han‐Seung Yoon's co-authors include Parry Guilford, David Pérez, Tumi Toro, Bostjan Humar, Peter J. Davidson, Katrina Sharples, Ingo Nindl, Merilyn Hibma, Mark E. Dalphin and Lisa Cambridge and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and The Journal of Urology.

In The Last Decade

Co-authorship network of co-authors of Han‐Seung Yoon i

Fields of papers citing papers by Han‐Seung Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Seung Yoon. 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 Han‐Seung Yoon. The network helps show where Han‐Seung Yoon may publish in the future.

Countries citing papers authored by Han‐Seung Yoon

Since Specialization
Citations

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