Hongseok Ko

32 total papers · 906 total citations
7 papers, 517 citations indexed

About

Hongseok Ko is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Infectious Diseases. According to data from OpenAlex, Hongseok Ko has authored 7 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Hongseok Ko's work include COVID-19 diagnosis using AI (3 papers), COVID-19 and healthcare impacts (2 papers) and COVID-19 Clinical Research Studies (1 paper). Hongseok Ko is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), COVID-19 and healthcare impacts (2 papers) and COVID-19 Clinical Research Studies (1 paper). Hongseok Ko collaborates with scholars based in South Korea, United States and Brazil. Hongseok Ko's co-authors include Chang Min Park, Young Kyung Lee, Jin Yong Kim, Soon Ho Yoon, Yun‐Hyeon Kim, Kyung Hee Lee, Ki Hwan Kim, Antônio Donato Nobre, Marielle N. Smith and Bruce Nelson and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Hongseok Ko

5 papers receiving 502 citations

Hit Papers

Chest Radiographic and CT... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Hongseok Ko 351 246 100 86 77 7 517
Yinghua Zhong 362 1.0× 275 1.1× 77 0.8× 88 1.0× 122 1.6× 9 558
Young Kyung Lee 357 1.0× 267 1.1× 109 1.1× 90 1.0× 80 1.0× 19 563
Cunxue Pan 324 0.9× 284 1.2× 78 0.8× 85 1.0× 137 1.8× 3 509
Dong Sun 308 0.9× 272 1.1× 60 0.6× 82 1.0× 133 1.7× 11 553
Inès Saab 247 0.7× 394 1.6× 77 0.8× 154 1.8× 146 1.9× 6 619
Lesheng Huang 270 0.8× 249 1.0× 43 0.4× 65 0.8× 61 0.8× 15 461
Sayan Manna 231 0.7× 168 0.7× 61 0.6× 106 1.2× 63 0.8× 14 474
Mario A. Cedillo 246 0.7× 168 0.7× 64 0.6× 112 1.3× 57 0.7× 16 484
Yasuhide Uwabe 238 0.7× 357 1.5× 84 0.8× 134 1.6× 122 1.6× 9 540
Zhaowu Tao 203 0.6× 373 1.5× 66 0.7× 140 1.6× 182 2.4× 8 553

Countries citing papers authored by Hongseok Ko

Since Specialization
Citations

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

Fields of papers citing papers by Hongseok Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongseok Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Hongseok Ko. A scholar is included among the top collaborators of Hongseok Ko 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 Hongseok Ko. Hongseok Ko 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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