Dae Yu Kim

84 total papers · 1.4k total citations
49 papers, 1.1k citations indexed

About

Dae Yu Kim is a scholar working on Biomedical Engineering, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dae Yu Kim has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 25 papers in Ophthalmology and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dae Yu Kim's work include Optical Coherence Tomography Applications (23 papers), Retinal Diseases and Treatments (13 papers) and Retinal Imaging and Analysis (11 papers). Dae Yu Kim is often cited by papers focused on Optical Coherence Tomography Applications (23 papers), Retinal Diseases and Treatments (13 papers) and Retinal Imaging and Analysis (11 papers). Dae Yu Kim collaborates with scholars based in South Korea, United States and India. Dae Yu Kim's co-authors include John S. Werner, Robert J. Zawadzki, Daniel M. Schwartz, Jeff Fingler, Scott E. Fraser, Susanna S. Park, Lawrence S. Morse, Suman Pilli, Steven M. Jones and Scot S. Olivier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Dae Yu Kim

43 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Dae Yu Kim 697 540 529 130 87 49 1.1k
Anant Agrawal 249 0.4× 469 0.9× 611 1.2× 90 0.7× 170 2.0× 66 1.0k
Roberto Reif 289 0.4× 570 1.1× 789 1.5× 99 0.8× 150 1.7× 31 1.3k
Tristan T. Hormel 705 1.0× 707 1.3× 463 0.9× 124 1.0× 42 0.5× 64 1.1k
Kazuhiro Kurokawa 701 1.0× 537 1.0× 739 1.4× 276 2.1× 219 2.5× 52 1.3k
Russell L. McCally 498 0.7× 788 1.5× 157 0.3× 64 0.5× 40 0.5× 62 1.2k
J. Driller 352 0.5× 531 1.0× 616 1.2× 67 0.5× 40 0.5× 55 1.2k
R. Engelhardt 368 0.5× 433 0.8× 787 1.5× 107 0.8× 182 2.1× 50 1.3k
Derek Nankivil 405 0.6× 489 0.9× 376 0.7× 58 0.4× 56 0.6× 50 916
Lih‐Huei L. Liaw 155 0.2× 599 1.1× 398 0.8× 152 1.2× 69 0.8× 62 1.3k
Laura Kowalczuk 813 1.2× 612 1.1× 151 0.3× 428 3.3× 123 1.4× 46 1.4k

Countries citing papers authored by Dae Yu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae Yu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Yu Kim. 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 Dae Yu Kim. The network helps show where Dae Yu Kim may publish in the future.

Co-authorship network of co-authors of Dae Yu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Yu Kim. A scholar is included among the top collaborators of Dae Yu Kim 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 Dae Yu Kim. Dae Yu Kim 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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