Young‐Uk Cho

1.7k total citations
108 papers, 916 citations indexed

About

Young‐Uk Cho is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Young‐Uk Cho has authored 108 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Hematology, 28 papers in Genetics and 27 papers in Oncology. Recurrent topics in Young‐Uk Cho's work include Acute Myeloid Leukemia Research (35 papers), Chronic Myeloid Leukemia Treatments (17 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Young‐Uk Cho is often cited by papers focused on Acute Myeloid Leukemia Research (35 papers), Chronic Myeloid Leukemia Treatments (17 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Young‐Uk Cho collaborates with scholars based in South Korea, United States and India. Young‐Uk Cho's co-authors include Seongsoo Jang, Chan‐Jeoung Park, Sang Hyuk Park, Hyun‐Sook Chi, Eul‐Ju Seo, Je‐Hwan Lee, Jung‐Hee Lee, Bora Lee, Kyoo‐Hyung Lee and Ho Joon Im and has published in prestigious journals such as Blood, British Journal of Haematology and Clinica Chimica Acta.

In The Last Decade

Young‐Uk Cho

97 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Uk Cho South Korea 17 375 209 188 178 157 108 916
Jihyang Lim South Korea 19 503 1.3× 244 1.2× 175 0.9× 264 1.5× 269 1.7× 114 1.3k
Steven R. Sloan United States 19 468 1.2× 200 1.0× 254 1.4× 183 1.0× 129 0.8× 58 1.4k
D. Kyriakou Greece 21 368 1.0× 234 1.1× 133 0.7× 190 1.1× 166 1.1× 44 872
Naohito Fujishima Japan 19 598 1.6× 326 1.6× 232 1.2× 167 0.9× 393 2.5× 63 1.4k
Angela R. Smith United States 19 425 1.1× 208 1.0× 134 0.7× 371 2.1× 262 1.7× 50 1.1k
Münci Yağcı Türkiye 15 391 1.0× 279 1.3× 179 1.0× 163 0.9× 105 0.7× 86 779
Jean‐François Lesesve France 18 422 1.1× 120 0.6× 319 1.7× 90 0.5× 328 2.1× 98 960
Akiyoshi Miwa Japan 14 517 1.4× 402 1.9× 175 0.9× 319 1.8× 147 0.9× 79 1.1k
Hyun‐Sook Chi South Korea 22 722 1.9× 355 1.7× 263 1.4× 282 1.6× 229 1.5× 100 1.4k
Franck Geneviève France 16 600 1.6× 377 1.8× 254 1.4× 378 2.1× 134 0.9× 57 1.2k

Countries citing papers authored by Young‐Uk Cho

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Uk Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Uk Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Uk Cho. A scholar is included among the top collaborators of Young‐Uk 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 Young‐Uk Cho. Young‐Uk 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.
2.
Cho, Young‐Uk. (2024). The role of next-generation sequencing in hematologic malignancies. Blood Research. 59(1). 11–11. 10 indexed citations
3.
4.
Park, Chan‐Jeoung, Young‐Uk Cho, Seongsoo Jang, et al.. (2023). Increased PD-1 expression of bone marrow T-cells in acute myeloid leukaemia patients after stem cell transplantation, and its association with overall survival. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 61(2). 79–89. 3 indexed citations
5.
Kim, Hyunji & Young‐Uk Cho. (2023). Diagnostic spectrum of hypereosinophilia based on bone marrow pathology: 10 years' experience at a tertiary care hospital. International Journal of Laboratory Hematology. 45(3). 328–336.
6.
Choi, Eun‐Ji, Young‐Uk Cho, Eun‐Hye Hur, et al.. (2022). Clinical implications and genetic features of clonal cytopenia of undetermined significance compared to lower‐risk myelodysplastic syndrome. British Journal of Haematology. 198(4). 703–712. 8 indexed citations
7.
Kim, Hyeri, Kyung‐Nam Koh, Ho Joon Im, et al.. (2021). Bone Marrow Findings in Patients With Ewing Sarcoma/Primitive Neuroectodermal Tumor. Annals of Laboratory Medicine. 41(5). 499–501. 1 indexed citations
8.
Park, Chan‐Jeoung, Min‐Sun Kim, Young‐Uk Cho, et al.. (2021). Granulocytic and Monocytic Myeloid-Derived Suppressor Cells are Functionally and Prognostically Different in Patients with Chronic Myeloid Leukemia. Annals of Laboratory Medicine. 41(5). 479–484. 5 indexed citations
9.
Yang, John, Su Jin Lee, Dae‐Hyun Ko, et al.. (2021). Simple Cryopreserved Whole Blood Is Comparable to Peripheral Blood Mononuclear Cells for Quantification of Human Regulatory T Cells. Biopreservation and Biobanking. 20(2). 201–203.
10.
Lee, Min Young, Chan‐Jeoung Park, Young‐Uk Cho, et al.. (2020). Immune Checkpoint Programmed Cell Death Protein-1 (PD-1) Expression on Bone Marrow T Cell Subsets in Patients With Plasma Cell Myeloma. Annals of Laboratory Medicine. 41(3). 259–267. 3 indexed citations
11.
Park, Chan‐Jeoung, Young‐Uk Cho, Seongsoo Jang, et al.. (2019). Clinical, Laboratory, and Bone Marrow Findings of 31 Patients With Waldenström Macroglobulinemia. Annals of Laboratory Medicine. 40(3). 193–200. 4 indexed citations
12.
Lee, Min Young, Chan‐Jeoung Park, Young‐Uk Cho, et al.. (2017). Expression Levels of PD-1 on CD8+ T Cells in Chronic Myeloid Leukemia with and without BCR-ABL1 kinase Mutation. Blood. 130. 4178–4178. 2 indexed citations
13.
Lee, Min Young, Chan‐Jeoung Park, Young‐Uk Cho, et al.. (2017). Immune Checkpoint (PD-1, PD-L1, PD-L2, and CTLA-4) Expression in Plasma Cell Myeloma. Blood. 130. 4400–4400. 2 indexed citations
14.
Kim, Kyoung Ha, Dae‐Young Kim, Sung‐Hyun Kim, et al.. (2015). Survey of Qol (quality of life) on Patients Receiving Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia: Korean CML Working Party Group. Blood. 126(23). 5166–5166. 1 indexed citations
15.
Cho, Young‐Uk, Mi Hyun Bae, Seongsoo Jang, et al.. (2015). JAK2 V617F, MPL, and CALR Mutations in Korean Patients with Essential Thrombocythemia and Primary Myelofibrosis. Journal of Korean Medical Science. 30(7). 882–882. 15 indexed citations
16.
Jeong, Tae‐Dong, Young‐Uk Cho, Woochang Lee, Sail Chun, & Won‐Ki Min. (2014). An efficient genomic DNA extraction from whole blood using Nextractor. Clinica Chimica Acta. 435. 14–17. 4 indexed citations
17.
Park, Sang Hyuk, Hyun‐Sook Chi, Young‐Uk Cho, Seongsoo Jang, & Chan‐Jeoung Park. (2013). Evaluation of prognostic factors in patients with therapy-related acute myeloid leukemia. Blood Research. 48(3). 185–185. 15 indexed citations
18.
Song, Eun Ju, et al.. (2011). A Case of Delftia acidovorans Peritonitis in a Peritoneal Dialysis Patient Managed with Preserving the Dialysis Catheter. Kidney Research and Clinical Practice. 30(3). 343–345.
19.
Cho, Young‐Uk, Seongsoo Jang, Chan‐Jeoung Park, & Hyun‐Sook Chi. (2008). Variables that affect platelet function analyzer-100 (PFA-100) closure times and establishment of reference intervals in Korean adults.. PubMed. 38(3). 247–53. 18 indexed citations
20.
Cho, Young‐Uk, et al.. (2002). The 46C/T Polymorphism of Coagulation Factor XII in Healthy Korean Population and in Patients with Ischemic Cerebrovascular Disease. The Korean Journal of Laboratory Medicine. 22(4). 224–231. 4 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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2026