Jieun Koh

36 total papers · 546 total citations
25 papers, 387 citations indexed

About

Jieun Koh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jieun Koh has authored 25 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pathology and Forensic Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jieun Koh's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Breast Lesions and Carcinomas (7 papers). Jieun Koh is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Breast Lesions and Carcinomas (7 papers). Jieun Koh collaborates with scholars based in South Korea. Jieun Koh's co-authors include Min Jung Kim, Eun‐Kyung Kim, Jung Hyun Yoon, Jin Young Kwak, Hee Jung Moon, Hae Kyoung Jung, Ah Young Park, Kyung Hee Ko, Kyunghwa Han and Ha Yan Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Radiology.

In The Last Decade

Jieun Koh

24 papers receiving 384 citations

Author Peers

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

Author Last Decade Papers Cites
Jieun Koh 184 102 89 69 68 25 387
Qing Dai 127 0.7× 125 1.2× 145 1.6× 83 1.2× 119 1.8× 24 421
Haoyu Ren 119 0.6× 128 1.3× 98 1.1× 32 0.5× 117 1.7× 26 444
Mi-ri Kwon 209 1.1× 90 0.9× 31 0.3× 133 1.9× 51 0.8× 26 341
Alexander Pöllinger 125 0.7× 60 0.6× 144 1.6× 44 0.6× 144 2.1× 27 387
Akiko Sawaki 144 0.8× 173 1.7× 180 2.0× 24 0.3× 43 0.6× 14 375
Na Lae Eun 184 1.0× 50 0.5× 104 1.2× 50 0.7× 18 0.3× 32 337
Satoko Ishigaki 335 1.8× 36 0.4× 56 0.6× 34 0.5× 43 0.6× 20 402
Ali Morshid 133 0.7× 39 0.4× 86 1.0× 22 0.3× 63 0.9× 15 387
Su Yeon Ko 132 0.7× 97 1.0× 89 1.0× 62 0.9× 70 1.0× 21 334
Yinhui Deng 172 0.9× 124 1.2× 57 0.6× 44 0.6× 52 0.8× 19 446

Countries citing papers authored by Jieun Koh

Since Specialization
Citations

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

Fields of papers citing papers by Jieun Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieun Koh

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