Jae-Ho Cho

1.3k total citations
31 papers, 1.0k citations indexed

About

Jae-Ho Cho is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jae-Ho Cho has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 13 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Jae-Ho Cho's work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (16 papers). Jae-Ho Cho is often cited by papers focused on Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (16 papers). Jae-Ho Cho collaborates with scholars based in South Korea, Australia and United States. Jae-Ho Cho's co-authors include Jonathan Sprent, Charles D. Surh, Onur Boyman, Mark P. Rubinstein, Hee‐Ok Kim, Jared F. Purton, Marek Kovář, Chris Ramsey, Cheol‐Heui Yun and Young‐Chul Sung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Jae-Ho Cho

30 papers receiving 1.0k citations

Peers

Jae-Ho Cho

IMMUN

ONCOL

EPIDE

GENET

Luigia Pace Italy

Dong‐Mei Zhao China

Kito Nzingha United States

Vibhuti P. Davé United States

Alvin Pratama Australia

Il‐Kyu Kim South Korea

Heiyoun Jung United States

Maura Crowley United States

Silvia Lorenzi Italy

So Matsui United States

Luigia Pace Italy

Jae-Ho Cho

729 ×0.9

IMMUN

254 ×0.7

ONCOL

238 ×1.4

62 ×0.8

EPIDE

61 ×1.1

GENET

Citations per year, relative to Jae-Ho Cho Jae-Ho Cho (= 1×) peers Luigia Pace

Countries citing papers authored by Jae-Ho Cho

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Ho Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae-Ho Cho

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yun, Ju Sik, Ji Yeon Noh, Hee‐Ok Kim, et al.. (2025). Progressive accumulation of circulating CD27−CD28− effector/memory CD8+ T cells in patients with lung cancer blunts responses to immune checkpoint inhibitor therapy. Experimental & Molecular Medicine. 57(5). 1005–1016.

Lee, Sung‐Woo, Ji Yeon Noh, Hee‐Ok Kim, et al.. (2025). Enhanced thrombopoiesis supplies PD-L1 to circulating immune cells via the generation of PD-L1-expressing platelets in patients with lung cancer. Journal for ImmunoTherapy of Cancer. 13(2). e010193–e010193. 1 indexed citations

Yoon, Jaewon, Kyung Min Kim, Soo‐Kyung Cho, et al.. (2025). Th1-poised naive CD4 T cell subpopulation reflects anti-tumor immunity and autoimmune disease. Nature Communications. 16(1). 1962–1962. 1 indexed citations

Kim, Young Ju, Sungwoo Lee, Hee‐Ok Kim, et al.. (2024). Developmental self-reactivity determines pathogenic Tc17 differentiation potential of naive CD8+ T cells in murine models of inflammation. Nature Communications. 15(1). 2919–2919. 2 indexed citations

Cho, Jae-Ho, et al.. (2023). Shaping Heterogeneity of Naive CD8⁺ T Cell Pools. Immune Network. 23(1). e2–e2. 11 indexed citations

Cho, Hyun-Ju, et al.. (2023). CD5 Expression Dynamically Changes During the Differentiation of Human CD8⁺T Cells Predicting Clinical Response to Immunotherapy. Immune Network. 23(4). e35–e35. 3 indexed citations

Park, Cheol‐Kyu, Sung‐Woo Lee, Hyun-Ju Cho, et al.. (2023). Blood-Based Biomarker Analysis for Predicting Efficacy of Chemoradiotherapy and Durvalumab in Patients with Unresectable Stage III Non-Small Cell Lung Cancer. Cancers. 15(4). 1151–1151. 4 indexed citations

Lee, Sungwoo, et al.. (2021). Self-reactivity controls functional diversity of naive CD8+ T cells by co-opting tonic type I interferon. Nature Communications. 12(1). 6059–6059. 29 indexed citations

Noh, Myung‐Giun, Sung Sun Kim, Yeong Jin Kim, et al.. (2021). Evolution of the Tumor Microenvironment toward Immune-Suppressive Seclusion during Brain Metastasis of Breast Cancer: Implications for Targeted Therapy. Cancers. 13(19). 4895–4895. 17 indexed citations

10.

Lee, Sungwoo, et al.. (2021). Supraphysiological Levels of IL-2 in Jak3-Deficient Mice Promote Strong Proliferative Responses of Adoptively Transferred Naive CD8+ T Cells. Frontiers in Immunology. 11. 616898–616898. 3 indexed citations

11.

Cho, Jae-Ho, et al.. (2020). Deletion Timing of Cic Alleles during Hematopoiesis Determines the Degree of Peripheral CD4⁺ T Cell Activation and Proliferation. Immune Network. 20(5). e43–e43. 6 indexed citations

12.

Kim, Juhee, Jun Young Lee, Kyungjin Cho, et al.. (2018). Spontaneous Proliferation of CD4+ T Cells in RAG-Deficient Hosts Promotes Antigen-Independent but IL-2-Dependent Strong Proliferative Response of Naïve CD8+ T Cells. Frontiers in Immunology. 9. 1907–1907. 8 indexed citations

13.

Lee, Jun Young, Juhee Kim, Jaeu Yi, et al.. (2018). Phenotypic and Functional Changes of Peripheral Ly6C+ T Regulatory Cells Driven by Conventional Effector T Cells. Frontiers in Immunology. 9. 437–437. 15 indexed citations

14.

Kim, Girak, Min Gu, Soo Ji Kim, et al.. (2018). Transcription Factor KLF10 Constrains IL-17-Committed Vγ4+ γδ T Cells. Frontiers in Immunology. 9. 196–196. 8 indexed citations

15.

Song, Sang Yun, Sung‐Hoon Jung, Jae‐Sook Ahn, et al.. (2016). Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as a potential remedy for overcoming TGF-β immunosuppression in the tumor microenvironment. Scientific Reports. 6(1). 28208–28208. 35 indexed citations

16.

Cho, Jae-Ho, Hee‐Ok Kim, Yoon-Chul Kye, et al.. (2016). CD45-mediated control of TCR tuning in naïve and memory CD8+ T cells. Nature Communications. 7(1). 13373–13373. 41 indexed citations

17.

Boyman, Onur, Jae-Ho Cho, & Jonathan Sprent. (2010). The Role of Interleukin-2 in Memory CD8 Cell Differentiation. Advances in experimental medicine and biology. 684. 28–41. 53 indexed citations

18.

Cho, Jae-Ho, Hee‐Ok Kim, Charles D. Surh, & Jonathan Sprent. (2010). T Cell Receptor-Dependent Regulation of Lipid Rafts Controls Naive CD8+ T Cell Homeostasis. Immunity. 32(2). 214–226. 118 indexed citations

19.

Ramsey, Chris, et al.. (2008). The Lymphopenic Environment of CD132 (Common γ-Chain)-Deficient Hosts Elicits Rapid Homeostatic Proliferation of Naive T Cells via IL-15. The Journal of Immunology. 180(8). 5320–5326. 30 indexed citations

20.

Rubinstein, Mark P., Marek Kovář, Jared F. Purton, et al.. (2006). Converting IL-15 to a superagonist by binding to soluble IL-15Rα. Proceedings of the National Academy of Sciences. 103(24). 9166–9171. 329 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.

Explore authors with similar magnitude of impact