Joonbeom Bae

856 total citations
24 papers, 611 citations indexed

About

Joonbeom Bae is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Joonbeom Bae has authored 24 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 7 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Joonbeom Bae's work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (5 papers). Joonbeom Bae is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (5 papers). Joonbeom Bae collaborates with scholars based in South Korea, United States and China. Joonbeom Bae's co-authors include Taehoon Chun, Chung‐Gyu Park, Ji‐Hye Han, Young Sik Lee, Suk Jun Lee, Yang‐Xin Fu, Zhichen Sun, Eric J. Hsu, Sang Hoon Kim and Sang Joon Kim and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Nature Cell Biology.

In The Last Decade

Joonbeom Bae

21 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joonbeom Bae South Korea 11 323 210 197 141 43 24 611
Zhenyuan Dong United States 12 236 0.7× 162 0.8× 176 0.9× 216 1.5× 46 1.1× 25 660
Xiang Mao China 13 273 0.8× 359 1.7× 272 1.4× 119 0.8× 80 1.9× 20 752
Hairong Chen China 14 309 1.0× 112 0.5× 233 1.2× 75 0.5× 43 1.0× 28 692
Huaping Xiao China 13 433 1.3× 369 1.8× 208 1.1× 69 0.5× 43 1.0× 27 869
Kathryn Smart United Kingdom 15 552 1.7× 480 2.3× 259 1.3× 103 0.7× 40 0.9× 23 1.1k
Ian Daniels United Kingdom 15 255 0.8× 130 0.6× 204 1.0× 59 0.4× 36 0.8× 35 544
Murugabaskar Balan United States 16 374 1.2× 324 1.5× 322 1.6× 156 1.1× 50 1.2× 24 1.0k
Michael P. Bell United States 13 382 1.2× 130 0.6× 200 1.0× 70 0.5× 110 2.6× 22 648
Takashi Ohkawa Japan 11 513 1.6× 103 0.5× 134 0.7× 179 1.3× 35 0.8× 13 893

Countries citing papers authored by Joonbeom Bae

Since Specialization
Citations

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

Fields of papers citing papers by Joonbeom Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonbeom Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Joonbeom Bae. A scholar is included among the top collaborators of Joonbeom Bae 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 Joonbeom Bae. Joonbeom Bae 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.
2.
Yoon, Jeong Ho, Ho-Jae Lee, Seok Jin Kang, et al.. (2025). Tumor-targeted delivery of CXCL10 by mesenchymal stromal cells potentiates adoptive T cell therapy to treat solid tumors. Biomedicine & Pharmacotherapy. 192. 118579–118579. 1 indexed citations
3.
Park, Young-Hoon, et al.. (2025). Novel oligomerization state of DinJ–YafQ complex from Vibrio cholerae—Structural and biochemical insights. International Journal of Biological Macromolecules. 320(Pt 2). 145865–145865.
4.
Lee, Hyeon‐Seong, et al.. (2025). Chemical constituents from the Korean endemic plant Pseudolysimachion pusanensis inhibit diffuse-type gastric cancer cells. Biomedicine & Pharmacotherapy. 186. 118005–118005.
5.
Guo, Meixia, Xiong Jin, Xinyu Li, et al.. (2025). Inhibition of ICAM1 diminishes stemness and enhances antitumor immunity in glioblastoma via β-catenin/PD-L1 signaling. Nature Communications. 16(1). 8642–8642. 1 indexed citations
6.
Kang, S, et al.. (2023). Interaction between host cell proteins and open reading frames of porcine circovirus type 2. Journal of Animal Science and Technology. 65(4). 698–719. 5 indexed citations
7.
Moore, Casey, Joonbeom Bae, Longchao Liu, et al.. (2022). Exogenous signaling repairs defective T cell signaling inside the tumor microenvironment for better immunity. JCI Insight. 7(17). 4 indexed citations
8.
Bae, Joonbeom, Longchao Liu, Casey Moore, et al.. (2022). IL-2 delivery by engineered mesenchymal stem cells re-invigorates CD8+ T cells to overcome immunotherapy resistance in cancer. Nature Cell Biology. 24(12). 1754–1765. 51 indexed citations
9.
Hsu, Eric J., Xuezhi Cao, Joonbeom Bae, et al.. (2021). A cytokine receptor-masked IL2 prodrug selectively activates tumor-infiltrating lymphocytes for potent antitumor therapy. Nature Communications. 12(1). 2768–2768. 85 indexed citations
10.
Liu, Longchao, Jiahui Chen, Joonbeom Bae, et al.. (2021). Rejuvenation of tumour-specific T cells through bispecific antibodies targeting PD-L1 on dendritic cells. Nature Biomedical Engineering. 5(11). 1261–1273. 57 indexed citations
11.
Bae, Joonbeom, Kyoichi Isono, Ji Yoon Lee, et al.. (2019). Phc2 controls hematopoietic stem and progenitor cell mobilization from bone marrow by repressing Vcam1 expression. Nature Communications. 10(1). 3496–3496. 12 indexed citations
12.
Choi, Chang‐Yong, Joonbeom Bae, Suk Jun Lee, et al.. (2017). Pig tissue factor pathway inhibitor α fusion immunoglobulin inhibits pig tissue factor activity in human plasma moderately more efficiently than the human counterpart. Biotechnology Letters. 39(11). 1631–1638. 1 indexed citations
13.
Park, Kyungmin, Jonggun Kim, Chang‐Yong Choi, et al.. (2016). Molecular Cloning and Expression Analysis of Pig Cd90. Animal Biotechnology. 27(2). 133–139. 2 indexed citations
14.
Lee, Ju‐Yeon, Joonbeom Bae, Inho Choi, Chung‐Gyu Park, & Taehoon Chun. (2014). Molecular cloning and expression analysis of pig CD7. Veterinary Research Communications. 38(3). 257–263. 1 indexed citations
15.
Cho, Kyu-Won, et al.. (2013). Expression pattern and functional role of Phc2 during activation of helper T cells after antigenic stimulation. In Vitro Cellular & Developmental Biology - Animal. 49(5). 360–370. 6 indexed citations
16.
Han, Ji‐Hye, Seung Bae Rho, Joonbeom Bae, et al.. (2013). Human Cytomegalovirus (HCMV) US2 Protein Interacts with Human CD1d (hCD1d) and Down-Regulates Invariant NKT (iNKT) Cell Activity. Molecules and Cells. 36(5). 455–464. 16 indexed citations
17.
Kim, Jung-Sik, Suk Jun Lee, Sang Hoon Kim, et al.. (2012). Generation and evaluation of the efficacy of rhesus monkey soluble cytotoxic T lymphocyte-associated antigen-4 in the allogeneic mixed lymphocyte reaction. Biotechnology Letters. 34(12). 2191–2197. 4 indexed citations
18.
Lee, Suk Jun, Joonbeom Bae, Sun‐Hee Kim, et al.. (2012). Saponins from soy bean and mung bean inhibit the antigen specific activation of helper T cells by blocking cell cycle progression. Biotechnology Letters. 35(2). 165–173. 13 indexed citations
19.
20.
Kim, Sang Hoon, Ji‐Hye Han, Joonbeom Bae, et al.. (2010). IL-10 inhibits the starvation induced autophagy in macrophages via class I phosphatidylinositol 3-kinase (PI3K) pathway. Molecular Immunology. 48(4). 720–727. 117 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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