Hyun-Il Cho

2.7k total citations · 1 hit paper
15 papers, 2.2k citations indexed

About

Hyun-Il Cho is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Hyun-Il Cho has authored 15 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Hyun-Il Cho's work include Immunotherapy and Immune Responses (12 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (5 papers). Hyun-Il Cho is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (5 papers). Hyun-Il Cho collaborates with scholars based in United States, South Korea and Belgium. Hyun-Il Cho's co-authors include Esteban Celis, Dmitry I. Gabrilovich, Srinivas Nagaraj, Matthew J. Cotter, Lily Lu, David Quiceno, Judith C. McCaffrey, Je-In Youn, Pingyan Cheng and Tapan Padhya and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Hyun-Il Cho

15 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

HIF-1α regulates function and differentiation of myeloid-derived suppressor cells in the tumor microenvironment

2010 930 citations Cesar A. Corzo, Thomas Condamine et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyun-Il Cho United States	15	1.7k	1.1k	506	312	159	15	2.2k
Katelyn T. Byrne United States	19	1.5k 0.9×	1.5k 1.4×	506 1.0×	234 0.8×	119 0.7×	30	2.4k
Rebekka Weber Germany	15	1.6k 0.9×	1.2k 1.1×	620 1.2×	240 0.8×	82 0.5×	16	2.2k
Christopher Groth Germany	14	1.5k 0.9×	1.1k 1.0×	584 1.2×	240 0.8×	78 0.5×	18	2.1k
Lynne Collins United States	16	1.4k 0.8×	1.1k 1.0×	741 1.5×	199 0.6×	100 0.6×	21	2.4k
Francesco De Sanctis Italy	24	1.0k 0.6×	834 0.8×	510 1.0×	246 0.8×	62 0.4×	66	1.8k
Sydney Gordon United States	8	1.7k 1.0×	1.4k 1.3×	740 1.5×	210 0.7×	99 0.6×	10	2.8k
Robert J. Schmittling United States	18	1.3k 0.8×	1.4k 1.4×	570 1.1×	222 0.7×	325 2.0×	31	2.5k
Jai Rautela Australia	19	1.3k 0.8×	1.0k 1.0×	648 1.3×	226 0.7×	124 0.8×	31	2.1k
Lorenzo Pilla Italy	22	1.6k 0.9×	1.1k 1.1×	1.0k 2.0×	322 1.0×	121 0.8×	48	2.4k
Viktor Fleming Germany	9	1.3k 0.8×	938 0.9×	459 0.9×	179 0.6×	54 0.3×	10	1.8k

Countries citing papers authored by Hyun-Il Cho

Since Specialization

Citations

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

Fields of papers citing papers by Hyun-Il Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyun-Il Cho

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

All Works

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15 of 15 papers shown

Kumai, Takumi, Sujin Lee, Hyun-Il Cho, et al.. (2016). Optimization of Peptide Vaccines to Induce Robust Antitumor CD4 T-cell Responses. Cancer Immunology Research. 5(1). 72–83. 57 indexed citations

Cho, Hyun-Il, et al.. (2015). An optimized peptide vaccine strategy capable of inducing multivalent CD8 ⁺ T cell responses with potent antitumor effects. OncoImmunology. 4(11). e1043504–e1043504. 27 indexed citations

Dougan, Stephanie K., Michael Dougan, Jun Kim, et al.. (2013). Transnuclear TRP1-Specific CD8 T Cells with High or Low Affinity TCRs Show Equivalent Antitumor Activity. Cancer Immunology Research. 1(2). 99–111. 44 indexed citations

Cho, Hyun-Il, Eduardo Reyes‐Vargas, Julio C. Delgado, & Esteban Celis. (2012). A Potent Vaccination Strategy That Circumvents Lymphodepletion for Effective Antitumor Adoptive T-cell Therapy. Cancer Research. 72(8). 1986–1995. 32 indexed citations

Ramakrishnan, Rupal, Chun Huang, Hyun-Il Cho, et al.. (2012). Autophagy Induced by Conventional Chemotherapy Mediates Tumor Cell Sensitivity to Immunotherapy. Cancer Research. 72(21). 5483–5493. 90 indexed citations

Chung, Woo Jin, et al.. (2012). Novel Toll-like Receptor 2 Ligands for Targeted Pancreatic Cancer Imaging and Immunotherapy. Journal of Medicinal Chemistry. 55(22). 9751–9762. 28 indexed citations

Nagaraj, Srinivas, Adam G. Schrum, Hyun-Il Cho, Esteban Celis, & Dmitry I. Gabrilovich. (2010). Mechanism of T Cell Tolerance Induced by Myeloid-Derived Suppressor Cells. The Journal of Immunology. 184(6). 3106–3116. 325 indexed citations

Cho, Hyun-Il, et al.. (2010). Interferon γ limits the effectiveness of melanoma peptide vaccines. Blood. 117(1). 135–144. 50 indexed citations

Ramakrishnan, Rupal, Deepak Assudani, Srinivas Nagaraj, et al.. (2010). Chemotherapy enhances tumor cell susceptibility to CTL-mediated killing during cancer immunotherapy in mice. Journal of Clinical Investigation. 120(4). 1111–1124. 382 indexed citations

10.

Corzo, Cesar A., Thomas Condamine, Lily Lu, et al.. (2010). HIF-1α regulates function and differentiation of myeloid-derived suppressor cells in the tumor microenvironment. The Journal of Experimental Medicine. 207(11). 2439–2453. 930 indexed citations breakdown →

11.

Cho, Hyun-Il & Esteban Celis. (2009). Optimized Peptide Vaccines Eliciting Extensive CD8 T-Cell Responses with Therapeutic Antitumor Effects. Cancer Research. 69(23). 9012–9019. 114 indexed citations

12.

Kim, Eun‐Kyung, et al.. (2009). Selective addition of CXCR3+CCR4-CD4+ Th1 cells enhances generation of cytotoxic T cells by dendritic cells in vitro. Experimental & Molecular Medicine. 41(3). 161–161. 20 indexed citations

13.

Cho, Hyun-Il, et al.. (2008). Optimized DNA vaccines to specifically induce therapeutic CD8 T cell responses against autochthonous breast tumors. Cancer Immunology Immunotherapy. 57(11). 1695–1703. 15 indexed citations

14.

Assudani, Deepak, et al.. (2008). In vivo Expansion, Persistence, and Function of Peptide Vaccine–Induced CD8 T Cells Occur Independently of CD4 T Cells. Cancer Research. 68(23). 9892–9899. 44 indexed citations

15.

Cheong, Hee Jin, et al.. (2005). Humoral and cellular immune responses to influenza vaccine in patients with advanced cirrhosis. Vaccine. 24(13). 2417–2422. 44 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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