Hee Jin Cho

5.5k total citations
67 papers, 1.5k citations indexed

About

Hee Jin Cho is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Hee Jin Cho has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Hee Jin Cho's work include Glioma Diagnosis and Treatment (13 papers), Sarcoma Diagnosis and Treatment (7 papers) and Cancer Genomics and Diagnostics (6 papers). Hee Jin Cho is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Sarcoma Diagnosis and Treatment (7 papers) and Cancer Genomics and Diagnostics (6 papers). Hee Jin Cho collaborates with scholars based in South Korea, United States and Japan. Hee Jin Cho's co-authors include Hye One Kim, Chun Wook Park, Kyeung Min Joo, Jeongwu Lee, Do‐Hyun Nam, Cheol Heon Lee, Bo Young Chung, K. Jason, Youngjo Kim and Kwang Joong Kim and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Hee Jin Cho

65 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hee Jin Cho 513 421 322 302 256 67 1.5k
Christophe Lebœuf 604 1.2× 443 1.1× 297 0.9× 257 0.9× 295 1.2× 74 1.6k
Francesca Margheri 1.0k 2.0× 492 1.2× 592 1.8× 163 0.5× 303 1.2× 51 1.8k
Normand Pouliot 964 1.9× 653 1.6× 400 1.2× 137 0.5× 253 1.0× 37 2.1k
Simona Serratì 854 1.7× 370 0.9× 500 1.6× 83 0.3× 347 1.4× 57 1.6k
M. Reza Saadatzadeh 956 1.9× 328 0.8× 297 0.9× 400 1.3× 172 0.7× 38 1.6k
Ningjing Lin 457 0.9× 609 1.4× 201 0.6× 362 1.2× 285 1.1× 66 1.4k
Han W. Tun 1.1k 2.1× 518 1.2× 499 1.5× 478 1.6× 329 1.3× 144 2.7k
Yongfeng Xu 572 1.1× 488 1.2× 293 0.9× 169 0.6× 430 1.7× 72 1.7k
Thiennga K. Nguyen 1.1k 2.2× 1.1k 2.7× 268 0.8× 137 0.5× 259 1.0× 7 1.9k
Andreas Menrad 682 1.3× 513 1.2× 206 0.6× 57 0.2× 267 1.0× 30 1.5k

Countries citing papers authored by Hee Jin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Hee Jin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee Jin Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Jin Cho. A scholar is included among the top collaborators of Hee Jin 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 Hee Jin Cho. Hee Jin 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.
Cho, Hee Jin, Desmond Yeo, Hsiu‐Chiung Yang, & JaeHyung Koo. (2024). Comprehensive Transcriptomic Analysis Reveals Cell-Type-Specific Roles of Human Odorant Receptors in Glioblastoma and the Tumor Microenvironment. International Journal of Molecular Sciences. 25(24). 13382–13382.
2.
3.
Cho, Hee Jin, Su‐Jin Shin, Young Han Lee, et al.. (2024). Durvalumab plus pazopanib combination in patients with advanced soft tissue sarcomas: a phase II trial. Nature Communications. 15(1). 685–685. 15 indexed citations
4.
Lee, Dong Hyeon, Jeong‐Hoon Lee, Mi-Sook Kim, et al.. (2024). Extrahepatic malignancies and antiviral drugs for chronic hepatitis B: A nationwide cohort study. Clinical and Molecular Hepatology. 30(3). 500–514. 2 indexed citations
5.
Park, Ji Hyun, Hee Jin Cho, Ki Bum Park, et al.. (2023). Genetic landscape and PD-L1 expression in Epstein–Barr virus-associated gastric cancer according to the histological pattern. Scientific Reports. 13(1). 19487–19487.
6.
Jeon, Hye-Min, Yong Jae Shin, Jaehyun Lee, et al.. (2023). The semaphorin 3A/neuropilin-1 pathway promotes clonogenic growth of glioblastoma via activation of TGF-β signaling. JCI Insight. 8(21). 8 indexed citations
7.
Kim, Hyunho, K. Jason, Jaehoon Kim, et al.. (2022). Recapitulated Crosstalk between Cerebral Metastatic Lung Cancer Cells and Brain Perivascular Tumor Microenvironment in a Microfluidic Co‐Culture Chip. Advanced Science. 9(22). e2201785–e2201785. 25 indexed citations
8.
Choi, Seung Won, Yeri Lee, Harim Koo, et al.. (2021). Mutation-specific non-canonical pathway of PTEN as a distinct therapeutic target for glioblastoma. Cell Death and Disease. 12(4). 374–374. 23 indexed citations
9.
Cho, Hee Jin, Daisuke Yamashita, Qin Chen, et al.. (2020). Tumor edge-to-core transition promotes malignancy in primary-to-recurrent glioblastoma progression in a PLAGL1/CD109-mediated mechanism. Neuro-Oncology Advances. 2(1). vdaa163–vdaa163. 13 indexed citations
10.
Koh, Jiae, Youjin Kim, Joon Young Hur, et al.. (2020). MDSC subtypes and CD39 expression on CD8 + T cells predict the efficacy of anti‐PD‐1 immunotherapy in patients with advanced NSCLC. European Journal of Immunology. 50(11). 1810–1819. 68 indexed citations
11.
Hong, Mannkyu, Yoseph Kim, Yoseph Kim, et al.. (2018). Scorpionate Catalysts for Coupling CO2 and Epoxides to Cyclic Carbonates: A Rational Design Approach for Organocatalysts. The Journal of Organic Chemistry. 83(16). 9370–9380. 69 indexed citations
12.
Oh, Jeong-Woo, Suji Han, Hee Jin Cho, et al.. (2018). Potent effect of the MDM2 inhibitor AMG232 on suppression of glioblastoma stem cells. Cell Death and Disease. 9(8). 792–792. 49 indexed citations
13.
Lee, Yeri, Kang Ho Kim, Hee Jin Cho, et al.. (2015). FoxM1 Promotes Stemness and Radio-Resistance of Glioblastoma by Regulating the Master Stem Cell Regulator Sox2. PLoS ONE. 10(10). e0137703–e0137703. 98 indexed citations
14.
Oh, Young Taek, Hee Jin Cho, Jin‐Kuk Kim, et al.. (2014). Translational Validation of Personalized Treatment Strategy Based on Genetic Characteristics of Glioblastoma. PLoS ONE. 9(8). e103327–e103327. 24 indexed citations
15.
Lee, Hye Won, Kyeung Min Joo, Joung Eun Lim, et al.. (2013). Tpl2 Kinase Impacts Tumor Growth and Metastasis of Clear Cell Renal Cell Carcinoma. Molecular Cancer Research. 11(11). 1375–1386. 17 indexed citations
16.
Park, Eun Joo, et al.. (2011). Four cases of subepidermal calcified nodule on a child’s sole. International Journal of Dermatology. 51(3). 316–320. 5 indexed citations
17.
Cho, Hee Jin, et al.. (2011). Quantitative study of stratum corneum ceramides contents in patients with sensitive skin. The Journal of Dermatology. 39(3). 295–300. 42 indexed citations
18.
Park, Eun Ju, et al.. (2010). Rapidly progressing malignant melanoma influenced by pregnancy. International Journal of Dermatology. 49(11). 1318–1320. 2 indexed citations
19.
Park, Eun Joo, Chul Woo Kim, Kwang Ho Kim, et al.. (2007). Comparison of expression of heat‐shock protein 60, Toll‐like receptors 2 and 4, and T‐cell receptor γδ in plaque and guttate psoriasis. Journal of Cutaneous Pathology. 34(12). 903–911. 62 indexed citations
20.
Cho, Hee Jin, et al.. (2007). Burns caused by accidental overdose of photochemotherapy (PUVA). Burns. 33(3). 372–375. 17 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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