Jinhyun Cho

1.2k total citations
37 papers, 775 citations indexed

About

Jinhyun Cho is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Jinhyun Cho has authored 37 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 16 papers in Pulmonary and Respiratory Medicine and 6 papers in Genetics. Recurrent topics in Jinhyun Cho's work include Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (7 papers) and CAR-T cell therapy research (7 papers). Jinhyun Cho is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (7 papers) and CAR-T cell therapy research (7 papers). Jinhyun Cho collaborates with scholars based in South Korea, Japan and United States. Jinhyun Cho's co-authors include Jin Seok Ahn, Se‐Hoon Lee, Keunchil Park, Jong‐Mu Sun, Myung‐Ju Ahn, Bo Mi Ku, Yoon‐La Choi, Răzvan Cristescu, Joungho Han and Jinchul Kim and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.

In The Last Decade

Jinhyun Cho

36 papers receiving 763 citations

Peers

Jinhyun Cho
Hidenori Mizugaki Japan
Alicia Morresi‐Hauf Germany
Alexander Weich Germany
Norihiro Ishii Japan
Fernando C. Santini United States
Nathalie Théou–Anton France
Cristina Ghiotto Italy
Lawrence Garbo United States
Hae Su Kim South Korea
C Mossetti Italy
Hidenori Mizugaki Japan
Jinhyun Cho
Citations per year, relative to Jinhyun Cho Jinhyun Cho (= 1×) peers Hidenori Mizugaki

Countries citing papers authored by Jinhyun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jinhyun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhyun Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhyun Cho. A scholar is included among the top collaborators of Jinhyun 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 Jinhyun Cho. Jinhyun 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.
Kim, Jin‐Chul, Jinhyun Cho, Joo Han Lim, & Moon Hee Lee. (2025). Relative efficacy of systemic treatments for patients with relapsed/refractory chronic lymphocytic leukemia: a network meta-analysis according to 17p deletion/TP53 mutations. Blood Research. 60(1). 1–1. 1 indexed citations
2.
Lee, Se‐Hoon, Nuri Lee, Myung‐Ju Ahn, et al.. (2024). The Risk and Reversibility of Osimertinib-Related Cardiotoxicity in a Real-World Population. Journal of Thoracic Oncology. 20(2). 167–176. 6 indexed citations
3.
Kim, Jinchul, Jinhyun Cho, Sang Eun Yoon, Won Seog Kim, & Seok Jin Kim. (2023). Efficacy of Salvage Treatments in Relapsed or Refractory Diffuse Large B-Cell Lymphoma Including Chimeric Antigen Receptor T-Cell Therapy: A Systematic Review and Meta-Analysis. Cancer Research and Treatment. 55(3). 1031–1047. 6 indexed citations
4.
Jung, Hyun Ae, Miso Kim, Hae Su Kim, et al.. (2022). A Phase 2 Study of Palbociclib for Recurrent or Refractory Advanced Thymic Epithelial Tumors (KCSG LU17-21). Journal of Thoracic Oncology. 18(2). 223–231. 16 indexed citations
5.
6.
Kim, Jinchul, Jinhyun Cho, Seonggyu Byeon, Won Seog Kim, & Seok Jin Kim. (2021). Comparison of first‐line treatments of peripheral T‐cell lymphoma according to regimen: A systematic review and meta‐analysis. Hematological Oncology. 39(5). 664–673. 8 indexed citations
7.
Yoo, Kwai Han, Jinhyun Cho, Boram Han, et al.. (2020). Outcomes of decitabine treatment for newly diagnosed acute myeloid leukemia in older adults. PLoS ONE. 15(8). e0235503–e0235503. 2 indexed citations
8.
Kim, Kyung Hwan, Jinhyun Cho, Bo Mi Ku, et al.. (2019). The First-week Proliferative Response of Peripheral Blood PD-1+CD8+ T Cells Predicts the Response to Anti-PD-1 Therapy in Solid Tumors. Clinical Cancer Research. 25(7). 2144–2154. 132 indexed citations
9.
Kim, Jinchul, et al.. (2019). Effect of study-level factors on treatment-free remission rate in patients with chronic myeloid leukemia: a systematic review and meta-analysis. International Journal of Hematology. 110(6). 683–689. 10 indexed citations
10.
11.
Kim, Jinchul, Jinhyun Cho, Moon Hee Lee, & Joo Han Lim. (2018). Relative Efficacy of Checkpoint Inhibitors for Advanced NSCLC According to Programmed Death-Ligand-1 Expression: A Systematic Review and Network Meta-Analysis. Scientific Reports. 8(1). 11738–11738. 21 indexed citations
12.
Kim, Eun Kyoung, Jinhyun Cho, Ji‐Yeon Kim, et al.. (2018). Early Decline in Left Ventricular Ejection Fraction Can Predict Trastuzumab-Related Cardiotoxicity in Patients with Breast Cancer: A Study Using 13 Years of Registry Data. Cancer Research and Treatment. 51(2). 727–736. 16 indexed citations
13.
Cho, Jinhyun, Seok Jin Kim, Silvia Park, et al.. (2018). Significance of circulating Epstein-Barr virus DNA monitoring after remission in patients with extranodal natural killer T cell lymphoma. Annals of Hematology. 97(8). 1427–1436. 14 indexed citations
14.
Heo, Mi Hwa, Hee Kyung Kim, Hansang Lee, et al.. (2017). P3.02b-078 Non-Small Cell Lung Cancer with De Novo EGFR T790M Mutation: Clinical Features of 22 Cases. Journal of Thoracic Oncology. 12(1). S1237–S1238. 1 indexed citations
15.
Heo, Mi Hwa, et al.. (2017). Overall survival beyond first-line docetaxel in patients with metastatic castrate-resistant prostate cancer treated with abiraterone acetate or enzalutamide.. Journal of Clinical Oncology. 35(6_suppl). e570–e570. 3 indexed citations
16.
Cho, Jinhyun, Jeeyun Lee, Ju-Sun Kim, et al.. (2016). Loss of Tuberous Sclerosis Complex 2 (TSC2) as a Predictive Biomarker of Response to mTOR Inhibitor Treatment in Patients with Hepatocellular Carcinoma. Translational Oncology. 9(5). 466–471. 13 indexed citations
17.
Kim, Hee Kyung, Sunyoung Lee, Kyung Kim, et al.. (2016). Efficacy of BRAF Inhibitors in Asian Metastatic Melanoma Patients: Potential Implications of Genomic Sequencing in BRAF-Mutated Melanoma. Translational Oncology. 9(6). 557–564. 15 indexed citations
18.
Cho, Jinhyun, Soomin Ahn, Kwai Han Yoo, et al.. (2016). Treatment outcome of PD-1 immune checkpoint inhibitor in Asian metastatic melanoma patients: correlative analysis with PD-L1 immunohistochemistry. Investigational New Drugs. 34(6). 677–684. 25 indexed citations
19.
Song, Haa‐Na, Ki Sun Jung, Kwai Han Yoo, et al.. (2015). Acquired C797S Mutation upon Treatment with a T790M-Specific Third-Generation EGFR Inhibitor (HM61713) in Non–Small Cell Lung Cancer. Journal of Thoracic Oncology. 11(4). e45–e47. 92 indexed citations
20.
Park, Silvia, Kihyun Kım, Jun Ho Jang, et al.. (2015). Randomized Trial of Micafungin Versus Fluconazole in Prophylaxis Against Invasive Fungal Infections in Hematopoietic Stem Cell Transplant Recipients. Blood. 126(23). 1904–1904. 1 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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