Eun Byul Lee

59 total papers · 515 total citations
27 papers, 403 citations indexed

About

Eun Byul Lee is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Eun Byul Lee has authored 27 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Hepatology. Recurrent topics in Eun Byul Lee's work include Liver Disease Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Liver physiology and pathology (2 papers). Eun Byul Lee is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Liver physiology and pathology (2 papers). Eun Byul Lee collaborates with scholars based in South Korea, United States and China. Eun Byul Lee's co-authors include Seung Kew Yoon, Wonhee Hur, Jung‐Hee Kim, Sung Woo Hong, Joon Ho Lee, Sung‐Min Kim, Ho Hee Jang, Jun Cui, Pil Soo Sung and Hyun Uk Kim and has published in prestigious journals such as ACS Nano, PLoS ONE and Cancer Research.

In The Last Decade

Eun Byul Lee

24 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
Eun Byul Lee 201 81 70 64 52 27 403
Yinying Lu 228 1.1× 114 1.4× 27 0.4× 67 1.0× 48 0.9× 34 430
Nannan Liu 148 0.7× 37 0.5× 65 0.9× 90 1.4× 30 0.6× 23 419
Xiaoqing Zhou 111 0.6× 42 0.5× 64 0.9× 37 0.6× 29 0.6× 28 377
Ting Xie 192 1.0× 129 1.6× 98 1.4× 37 0.6× 24 0.5× 19 363
Leszek Kraj 111 0.6× 54 0.7× 23 0.3× 97 1.5× 22 0.4× 30 386
Norimitsu Shirai 148 0.7× 35 0.4× 38 0.5× 64 1.0× 21 0.4× 30 366
Qian Qiao 234 1.2× 53 0.7× 73 1.0× 66 1.0× 40 0.8× 25 432
D. R. Bard 103 0.5× 47 0.6× 40 0.6× 68 1.1× 21 0.4× 25 425
Lin Jiao 193 1.0× 82 1.0× 39 0.6× 93 1.5× 11 0.2× 37 402
E Changyong 166 0.8× 122 1.5× 30 0.4× 100 1.6× 34 0.7× 19 338

Countries citing papers authored by Eun Byul Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eun Byul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Byul Lee. 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 Eun Byul Lee. The network helps show where Eun Byul Lee may publish in the future.

Co-authorship network of co-authors of Eun Byul Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Byul Lee. A scholar is included among the top collaborators of Eun Byul Lee 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 Eun Byul Lee. Eun Byul Lee 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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