Dae Seong Kim

1.3k total citations
23 papers, 955 citations indexed

About

Dae Seong Kim is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Dae Seong Kim has authored 23 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Hematology. Recurrent topics in Dae Seong Kim's work include Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Dae Seong Kim is often cited by papers focused on Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Dae Seong Kim collaborates with scholars based in South Korea, Mexico and United Kingdom. Dae Seong Kim's co-authors include Myoung Woo Lee, Keon Hee Yoo, Hong Hoe Koo, Ki Woong Sung, Ji Won Lee, Young Jong Ko, In Keun Jang, Ji Hyun Lee, Eun Jung Lee and Jun Ho Ji and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Dae Seong Kim

22 papers receiving 940 citations

Peers

Dae Seong Kim

GENET

SURGE

Claire Carrion France

Jing Xing China

Bihui Zhang China

Guowei Feng China

Maria Iris Hermanns Germany

Puchit Samorapoompichit Austria

Xiaotong Zhao China

Hongwei Shao China

Min‐Soo Seo South Korea

Claire Carrion France

Dae Seong Kim

339 ×0.9

GENET

130 ×0.5

521 ×2.2

503 ×3.2

SURGE

168 ×1.4

Citations per year, relative to Dae Seong Kim Dae Seong Kim (= 1×) peers Claire Carrion

Countries citing papers authored by Dae Seong Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dae Seong Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Seong Kim. A scholar is included among the top collaborators of Dae Seong 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 Seong Kim. Dae Seong 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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20 of 20 papers shown

Kim, Dae Seong, J S Byeon, Hyunjin Lee, et al.. (2025). Engineering IgG antibodies for intracellular targeting and drug delivery. Journal of Controlled Release. 382. 113727–113727.

Lee, Hyunjin, et al.. (2024). Enhancing the cytotoxicity of immunotoxins by facilitating their dissociation from target receptors under the reducing conditions of the endocytic pathway. International Journal of Biological Macromolecules. 278(Pt 1). 134668–134668. 5 indexed citations

Kim, Junho, Dae Seong Kim, Hae‐Sim Park, & Yong‐Sung Kim. (2023). Engineering bispecific T-cell engagers to deplete eosinophils for the treatment of severe eosinophilic asthma. Clinical Immunology. 255. 109755–109755. 2 indexed citations

Lee, Myoung Woo, Dae Seong Kim, Ji Won Lee, et al.. (2019). Mesenchymal stem cells in suppression or progression of hematologic malignancy: current status and challenges. Leukemia. 33(3). 597–611. 82 indexed citations

Kim, Dae Seong, In Keun Jang, Myoung Woo Lee, et al.. (2018). Enhanced Immunosuppressive Properties of Human Mesenchymal Stem Cells Primed by Interferon-γ. EBioMedicine. 28. 261–273. 228 indexed citations

Kim, Dae Seong, Myoung Woo Lee, Tae-Hee Lee, et al.. (2017). Cell culture density affects the stemness gene expression of adipose tissue-derived mesenchymal stem cells. Biomedical Reports. 6(3). 300–306. 43 indexed citations

Kim, Dae Seong, et al.. (2017). Experience of Rh & Others Antigen Negative Rate Elicitation in a Blood Laboratory Center. The Korean Journal of Blood Transfusion. 28(2). 134–139. 1 indexed citations

Kim, Dae Seong, Myoung Woo Lee, Young Jong Ko, et al.. (2016). Cell culture density affects the proliferation activity of human adipose tissue stem cells. Cell Biochemistry and Function. 34(1). 16–24. 18 indexed citations

Kim, Dae Seong, Young Jong Ko, Myoung Woo Lee, et al.. (2016). Effect of low oxygen tension on the biological characteristics of human bone marrow mesenchymal stem cells. Cell Stress and Chaperones. 21(6). 1089–1099. 61 indexed citations

10.

Chang, Ha Kyun, Dae Seong Kim, Min Sun Kim, et al.. (2016). Inhibition of ERK activity enhances the cytotoxic effect of peroxisome proliferator-activated receptor γ (PPARγ) agonists in HeLa cells. Biochemical and Biophysical Research Communications. 482(4). 843–848. 10 indexed citations

11.

Kim, Dae Seong, Myoung Woo Lee, Keon Hee Yoo, et al.. (2014). Gene Expression Profiles of Human Adipose Tissue-Derived Mesenchymal Stem Cells Are Modified by Cell Culture Density. PLoS ONE. 9(1). e83363–e83363. 59 indexed citations

12.

Lee, Myoung Woo, Dae Seong Kim, Keon Hee Yoo, et al.. (2013). Human bone marrow-derived mesenchymal stem cell gene expression patterns vary with culture conditions. Blood Research. 48(2). 107–107. 30 indexed citations

13.

Kim, Dae Seong, Yoo Hun Noh, Soo Hyun Lee, et al.. (2013). Engraftment Efficacy of Human Hematopoietic Stem Cells Transplanted into NOD/SCID Mice Using Two Methods: Intra-Bone Marrow Transplantation of Hematopoietic Stem Cells and Intravenous Co-Transplantation with Mesenchymal Stem Cells. Acta Haematologica. 131(3). 179–182. 4 indexed citations

14.

Kim, Dae Seong, et al.. (2011). Effect of Dioscorea Aimadoimo on Anti-aging and Skin Moisture Capacity. Journal of Physiology & Pathology in Korean Medicine. 25(3). 425–430. 9 indexed citations

15.

Kim, Jong Kuk, et al.. (2010). Guillain-Barré Syndrome With Antibody to Ganglioside GT1a. Journal of the Korean Neurological Association. 28(4). 291–294. 1 indexed citations

16.

Sung, Jae Hyuck, Jun Ho Ji, Dae Seong Kim, et al.. (2008). Lung Function Changes in Sprague-Dawley Rats After Prolonged Inhalation Exposure to Silver Nanoparticles. Inhalation Toxicology. 20(6). 567–574. 286 indexed citations

17.

Kim, Dae Seong, Dae Soo Jung, Kyu-Hyun Park, et al.. (2002). Histochemical and Molecular Genetic Study of MELAS and MERRF in Korean Patients. Journal of Korean Medical Science. 17(1). 103–103. 14 indexed citations

18.

Kim, Dae Seong, Eun Joo Kim, Dae Soo Jung, et al.. (2002). A Korean Family with Arg1448Cys Mutation of SCN4A Channel Causing Paramyotonia Congenita: Electrophysiologic, Histopathologic, and Molecular Genetic Studies. Journal of Korean Medical Science. 17(6). 856–856. 8 indexed citations

19.

Kim, Dae Seong, et al.. (1996). Flow and heat transfer measurements of a wall attaching offset jet. International Journal of Heat and Mass Transfer. 39(14). 2907–2913. 51 indexed citations

20.

Kim, Kyung Chun, et al.. (1993). Comparative study of a turbulent wall-attaching offset jet and a plane wall jet. KSME Journal. 7(2). 101–112. 19 indexed citations

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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