Dae Joon Kim

182 total papers · 3.7k total citations
87 papers, 2.3k citations indexed

About

Dae Joon Kim is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dae Joon Kim has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 25 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Dae Joon Kim's work include Cytokine Signaling Pathways and Interactions (14 papers), Protein Tyrosine Phosphatases (13 papers) and PI3K/AKT/mTOR signaling in cancer (12 papers). Dae Joon Kim is often cited by papers focused on Cytokine Signaling Pathways and Interactions (14 papers), Protein Tyrosine Phosphatases (13 papers) and PI3K/AKT/mTOR signaling in cancer (12 papers). Dae Joon Kim collaborates with scholars based in United States, South Korea and United Kingdom. Dae Joon Kim's co-authors include John DiGiovanni, Jeffrey M. Peters, Mihwa Kim, Frank J. Gonzalez, Liza D. Morales, Ik‐Soon Jang, Yong‐Yeon Cho, Shigetoshi Sano, Thomas J. Slaga and Minwoo Baek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Dae Joon Kim

83 papers receiving 2.3k citations

Author Peers

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

Author						Papers	Cites
Dae Joon Kim	1.5k	679	547	371	239	87	2.3k
Jawed A. Siddiqui	1.4k 1.0×	667 1.0×	352 0.6×	297 0.8×	186 0.8×	79	2.8k
Yoshinori Otsuki	1.6k 1.1×	367 0.5×	491 0.9×	360 1.0×	393 1.6×	110	3.0k
In‐Chul Park	1.8k 1.2×	541 0.8×	587 1.1×	227 0.6×	247 1.0×	116	2.8k
Lucia Magnelli	1.3k 0.9×	612 0.9×	647 1.2×	337 0.9×	120 0.5×	83	2.7k
Eun‐Ju Chang	1.2k 0.8×	490 0.7×	285 0.5×	498 1.3×	252 1.1×	93	2.5k
Liang Dong	1.6k 1.1×	442 0.7×	555 1.0×	529 1.4×	258 1.1×	84	3.2k
Jin Kim	1.4k 0.9×	592 0.9×	457 0.8×	249 0.7×	138 0.6×	114	3.3k
Xin He	1.6k 1.1×	298 0.4×	694 1.3×	269 0.7×	335 1.4×	103	3.1k
Chuan Liu	1.2k 0.8×	426 0.6×	598 1.1×	251 0.7×	243 1.0×	118	2.2k
Aihua Li	1.2k 0.8×	1.0k 1.5×	391 0.7×	733 2.0×	176 0.7×	68	2.9k

Countries citing papers authored by Dae Joon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dae Joon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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