Daeho Cho

2.1k total citations
68 papers, 1.7k citations indexed

About

Daeho Cho is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Daeho Cho has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 23 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Daeho Cho's work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (14 papers). Daeho Cho is often cited by papers focused on Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (14 papers). Daeho Cho collaborates with scholars based in South Korea, United States and Ethiopia. Daeho Cho's co-authors include Tae Sung Kim, Sunyoung Park, Giorgio Trinchieri, Bok Yun Kang, Su Wol Chung, Seung Hyun Kim, Youngmi Kim Pak, Yoolhee Yang, Hui Xuan Lim and Hye-Jin Hong and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Scientific Reports.

In The Last Decade

Daeho Cho

68 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daeho Cho South Korea 22 783 663 290 196 141 68 1.7k
Hyun‐Jong Ahn South Korea 22 713 0.9× 1.1k 1.7× 347 1.2× 175 0.9× 184 1.3× 43 2.0k
JooYeon Jhun South Korea 29 804 1.0× 591 0.9× 283 1.0× 168 0.9× 168 1.2× 67 1.8k
Anupama Sahoo United States 23 818 1.0× 731 1.1× 256 0.9× 162 0.8× 84 0.6× 37 1.9k
Nahid Eskandari Iran 20 656 0.8× 480 0.7× 222 0.8× 270 1.4× 197 1.4× 101 1.6k
Daming Zuo China 26 697 0.9× 765 1.2× 248 0.9× 133 0.7× 227 1.6× 81 1.9k
Theresa Thalhamer Austria 15 601 0.8× 826 1.2× 192 0.7× 142 0.7× 88 0.6× 19 2.0k
Hyun‐Mee Oh South Korea 24 585 0.7× 432 0.7× 202 0.7× 181 0.9× 95 0.7× 55 1.4k
Ching‐Liang Chu Taiwan 31 766 1.0× 1.2k 1.9× 233 0.8× 147 0.8× 208 1.5× 70 2.4k
Xiaoyi Hu China 17 1.0k 1.3× 565 0.9× 569 2.0× 364 1.9× 145 1.0× 31 2.5k
Szilvia Benkő Hungary 24 976 1.2× 746 1.1× 258 0.9× 130 0.7× 168 1.2× 42 1.9k

Countries citing papers authored by Daeho Cho

Since Specialization
Citations

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

Fields of papers citing papers by Daeho Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daeho Cho. 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 Daeho Cho. The network helps show where Daeho Cho may publish in the future.

Co-authorship network of co-authors of Daeho Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Daeho Cho. A scholar is included among the top collaborators of Daeho Cho 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 Daeho Cho. Daeho Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Yoolhee, et al.. (2024). AESIS-1, a Rheumatoid Arthritis Therapeutic Peptide, Accelerates Wound Healing by Promoting Fibroblast Migration in a CXCR2-Dependent Manner. International Journal of Molecular Sciences. 25(7). 3937–3937. 4 indexed citations
2.
Cho, Daeho, et al.. (2020). Threonyl-tRNA Synthetase Promotes T Helper Type 1 Cell Responses by Inducing Dendritic Cell Maturation and IL-12 Production via an NF-κB Pathway. Frontiers in Immunology. 11. 571959–571959. 16 indexed citations
3.
Kim, Hyo‐Suk, Gijung Kwak, Sung Duk Jo, et al.. (2020). Development of microRNA-21 mimic nanocarriers for the treatment of cutaneous wounds. Theranostics. 10(7). 3240–3253. 45 indexed citations
4.
Kim, Myun Soo, Su‐Jin Jung, Sunyoung Park, et al.. (2018). Erythroid differentiation regulator 1 strengthens TCR signaling in thymocytes by modulating calcium flux. Cellular Immunology. 336. 28–33. 5 indexed citations
5.
Kim, Myun Soo, et al.. (2017). IL-33-matured dendritic cells promote Th17 cell responses via IL-1β and IL-6. Cytokine. 99. 106–113. 41 indexed citations
6.
Hong, Hye-Jin, Hui Xuan Lim, Ju Han Song, et al.. (2015). Aminoacyl-tRNA synthetase-interacting multifunctional protein 1 suppresses tumor growth in breast cancer-bearing mice by negatively regulating myeloid-derived suppressor cell functions. Cancer Immunology Immunotherapy. 65(1). 61–72. 17 indexed citations
7.
Lim, Hui Xuan, Hye-Jin Hong, Mi Young Jung, Daeho Cho, & Tae Sung Kim. (2013). Principal role of IL-12p40 in the decreased Th1 and Th17 responses driven by dendritic cells of mice lacking IL-12 and IL-18. Cytokine. 63(2). 179–186. 17 indexed citations
8.
Kue, Chin Siang, Hui Xuan Lim, Mi Young Jung, et al.. (2012). C6-ceramide in combination with transforming growth factor-β enhances Treg cell differentiation and stable FoxP3 expression in vitro and in vivo. Immunobiology. 218(7). 952–959. 11 indexed citations
9.
Song, Hyunkeun, Jiyoung Kim, Hyun-Kyung Lee, et al.. (2011). Selenium inhibits migration of murine melanoma cells via down-modulation of IL-18 expression. International Immunopharmacology. 11(12). 2208–2213. 25 indexed citations
10.
Kim, Kyung Eun, Jung Kyu Park, Sunyoung Park, et al.. (2011). Heat-killed Lactobacillus acidophilus La205 enhances NK cell cytotoxicity through increased granule exocytosis. Immunology Letters. 136(2). 171–176. 21 indexed citations
11.
Kue, Chin Siang, Mi Young Jung, Daeho Cho, & Tae Sung Kim. (2011). C6-ceramide enhances Interleukin-12-mediated T helper type 1 cell responses through a cyclooxygenase-2-dependent pathway. Immunobiology. 217(6). 601–609. 13 indexed citations
12.
Hong, Hye-Jin, Eugene S. Kim, Daeho Cho, & Tae Sung Kim. (2010). Differential Suppression of Heat-Killed Lactobacilli Isolated from kimchi, a Korean Traditional Food, on Airway Hyper-responsiveness in Mice. Journal of Clinical Immunology. 30(3). 449–458. 32 indexed citations
13.
Lee, Ha‐Reum, Sun Young Yoon, Sunyoung Park, et al.. (2009). Thymosin beta 4 enhances NK cell cytotoxicity mediated by ICAM-1. Immunology Letters. 123(1). 72–76. 17 indexed citations
14.
Lee, Byung Cheon, InSug O‐Sullivan, Eugene Kim, et al.. (2008). A DNA adjuvant encoding a fusion protein between anti‐CD3 single‐chain Fv and AIMP1 enhances T helper type 1 cell‐mediated immune responses in antigen‐sensitized mice. Immunology. 126(1). 84–91. 4 indexed citations
15.
Cho, Daeho, Jae Seung Kang, Eunsil Hahm, et al.. (2004). Resistance to Cytotoxic Chemotherapy Is Induced by NK Cells in Non-Hodgkin's Lymphoma Cells. Journal of Clinical Immunology. 24(5). 553–560. 4 indexed citations
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Cho, Daeho, Tai‐Gyu Kim, Young-il Hwang, et al.. (2000). Interleukin-18 and the Costimulatory Molecule B7-1 Have a Synergistic Anti-Tumor Effect on Murine Melanoma; Implication of Combined Immunotherapy for Poorly Immunogenic Malignancy. Journal of Investigative Dermatology. 114(5). 928–934. 24 indexed citations
20.
Hur, Dae Young, Seonghan Kim, H Y Min, et al.. (2000). CM1, a possible novel activation molecule on human lymphocytes. Immunology Letters. 74(2). 95–102. 8 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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