Dae Yeong Kim

41 total papers · 657 total citations
18 papers, 497 citations indexed

About

Dae Yeong Kim is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Dae Yeong Kim has authored 18 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Oncology. Recurrent topics in Dae Yeong Kim's work include Cannabis and Cannabinoid Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Dae Yeong Kim is often cited by papers focused on Cannabis and Cannabinoid Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Dae Yeong Kim collaborates with scholars based in South Korea, United States and Japan. Dae Yeong Kim's co-authors include Sang Cheul Oh, Soyeon Jeong, Dae-Hee Lee, Seong Hye Park, Jung Lim Kim, Min Jee Jo, Hye Kyeong Yun, Yoon A Jeong, Yoo Jin Na and Bu Gyeom Kim and has published in prestigious journals such as Cancer Research, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Dae Yeong Kim

16 papers receiving 492 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 Yeong Kim 224 218 80 79 77 18 497
Hye Kyeong Yun 224 1.0× 263 1.2× 96 1.2× 80 1.0× 95 1.2× 18 561
Paula M. Kuzontkoski 288 1.3× 208 1.0× 41 0.5× 107 1.4× 81 1.1× 11 595
Ornella Pellerito 164 0.7× 213 1.0× 49 0.6× 99 1.3× 59 0.8× 19 501
Giovanna Navarra 265 1.2× 145 0.7× 70 0.9× 71 0.9× 53 0.7× 16 466
Adela García‐Martín 225 1.0× 261 1.2× 26 0.3× 42 0.5× 55 0.7× 26 558
Andrea Watters 140 0.6× 249 1.1× 133 1.7× 55 0.7× 113 1.5× 13 525
Qianhai Ding 109 0.5× 322 1.5× 81 1.0× 63 0.8× 114 1.5× 16 580
Nathan J. Coffey 188 0.8× 245 1.1× 110 1.4× 95 1.2× 33 0.4× 20 593
Jun-Jun Xie 154 0.7× 264 1.2× 54 0.7× 61 0.8× 25 0.3× 15 562
Alba D’Alessandro 206 0.9× 193 0.9× 102 1.3× 146 1.8× 77 1.0× 11 503

Countries citing papers authored by Dae Yeong Kim

Since Specialization
Citations

This map shows the geographic impact of Dae Yeong 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 Yeong 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 Yeong Kim more than expected).

Fields of papers citing papers by Dae Yeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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