Han‐Seung Yoon

35 total papers · 707 total citations
19 papers, 495 citations indexed

About

Han‐Seung Yoon is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Han‐Seung Yoon has authored 19 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Han‐Seung Yoon's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Diagnosis and Treatment (2 papers). Han‐Seung Yoon is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Diagnosis and Treatment (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, Tumi Toro, David Pérez, Bostjan Humar, Justin Harvey, Andrew Kennedy‐Smith, John Doorbar, Michael A. Black, Peter Gilling and Peter J. Davidson and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and The Journal of Urology.

In The Last Decade

Han‐Seung Yoon

18 papers receiving 487 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Han‐Seung Yoon 183 178 151 97 86 19 495
Timo Pietiläinen 266 1.5× 228 1.3× 79 0.5× 70 0.7× 142 1.7× 16 538
Nadina Erill 166 0.9× 155 0.9× 95 0.6× 61 0.6× 89 1.0× 16 450
Evdokia Arkoumani 172 0.9× 188 1.1× 75 0.5× 92 0.9× 129 1.5× 21 481
Thomas K. Lidner 79 0.4× 169 0.9× 97 0.6× 40 0.4× 41 0.5× 16 428
Zerina Jasarevic 154 0.8× 74 0.4× 168 1.1× 131 1.4× 219 2.5× 19 527
Tore Farsund 75 0.4× 150 0.8× 244 1.6× 44 0.5× 99 1.2× 23 511
Çiğdem Himmetoğlu 109 0.6× 163 0.9× 73 0.5× 34 0.4× 35 0.4× 17 406
A Balaton 174 1.0× 108 0.6× 127 0.8× 54 0.6× 117 1.4× 28 413
Oi Harada 175 1.0× 117 0.7× 93 0.6× 45 0.5× 97 1.1× 24 472
Shalini Verma 205 1.1× 168 0.9× 47 0.3× 75 0.8× 42 0.5× 25 471

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Seung Yoon. A scholar is included among the top collaborators of Han‐Seung Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Han‐Seung Yoon. Han‐Seung Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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