June‐Won Cheong

4.6k total citations
182 papers, 2.7k citations indexed

About

June‐Won Cheong is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, June‐Won Cheong has authored 182 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Hematology, 51 papers in Genetics and 50 papers in Molecular Biology. Recurrent topics in June‐Won Cheong's work include Acute Myeloid Leukemia Research (63 papers), Lymphoma Diagnosis and Treatment (37 papers) and Hematopoietic Stem Cell Transplantation (24 papers). June‐Won Cheong is often cited by papers focused on Acute Myeloid Leukemia Research (63 papers), Lymphoma Diagnosis and Treatment (37 papers) and Hematopoietic Stem Cell Transplantation (24 papers). June‐Won Cheong collaborates with scholars based in South Korea, United States and Japan. June‐Won Cheong's co-authors include Yoo Hong Min, Jin Seok Kim, Ji Eun Jang, Seung‐Tae Lee, Soo‐Jeong Kim, Ju In Eom, Jee Sook Hahn, Yun Woong Ko, Woo Ick Yang and Yu Ri Kim and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

June‐Won Cheong

166 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
June‐Won Cheong South Korea 29 1.0k 994 625 581 417 182 2.7k
E. Thiel Germany 28 698 0.7× 625 0.6× 646 1.0× 352 0.6× 442 1.1× 121 2.5k
Hyeoung‐Joon Kim South Korea 29 1.0k 1.0× 1.4k 1.4× 909 1.5× 524 0.9× 436 1.0× 213 3.0k
Ugo Ramenghi Italy 39 2.0k 1.9× 1.4k 1.4× 648 1.0× 587 1.0× 216 0.5× 153 4.4k
Josep Nomdedéu Spain 32 1.4k 1.4× 1.6k 1.6× 736 1.2× 707 1.2× 570 1.4× 131 3.5k
Eugenio Gallo Italy 27 687 0.7× 711 0.7× 548 0.9× 393 0.7× 428 1.0× 94 2.3k
Gregor Hoermann Austria 31 770 0.7× 1.0k 1.0× 525 0.8× 763 1.3× 286 0.7× 145 3.0k
Martin Champagne Canada 25 832 0.8× 855 0.9× 365 0.6× 613 1.1× 85 0.2× 59 2.5k
Mathias Schmid Germany 24 704 0.7× 807 0.8× 383 0.6× 638 1.1× 216 0.5× 86 2.0k
Gerwin Huls Netherlands 30 1.9k 1.8× 1.3k 1.3× 1.1k 1.8× 435 0.7× 296 0.7× 115 3.9k
Wolfgang Oster Germany 28 674 0.6× 666 0.7× 760 1.2× 408 0.7× 211 0.5× 101 3.0k

Countries citing papers authored by June‐Won Cheong

Since Specialization
Citations

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

Fields of papers citing papers by June‐Won Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June‐Won Cheong. 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 June‐Won Cheong. The network helps show where June‐Won Cheong may publish in the future.

Co-authorship network of co-authors of June‐Won Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of June‐Won Cheong. A scholar is included among the top collaborators of June‐Won Cheong 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 June‐Won Cheong. June‐Won Cheong 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.
Lee, Ji Yun, Sung‐Soo Yoon, Deok‐Hwan Yang, et al.. (2025). Efficacy and Safety of Ropeginterferon Alfa-2b in Low-Risk Polycythemia Vera. Cancer Research and Treatment. 1 indexed citations
2.
Hyun, Shin Young, et al.. (2025). Na+/H+ Exchanger 1 Inhibition Overcomes Venetoclax Resistance in Acute Myeloid Leukemia. Cells. 14(22). 1759–1759.
3.
Lee, Jong Wook, Jun Ho Jang, Shigeru Chiba, et al.. (2025). Romiplostim with ciclosporin A in patients with aplastic anaemia naïve to immunosuppressive therapy: A phase 2/3 study. British Journal of Haematology. 207(2). 582–590.
4.
Kim, Sojeong, Haerim Chung, Jeong-Eun Kwak, et al.. (2024). Clearing soluble MIC reverses the impaired function of natural killer cells from patients with multiple myeloma. Journal for ImmunoTherapy of Cancer. 12(1). e007886–e007886. 5 indexed citations
5.
Perl, Alexander E., Mark J. Levis, Andrew H. Wei, et al.. (2024). Timing of Response with Gilteritinib Monotherapy in Relapsed or Refractory FLT3-Mutated Acute Myeloid Leukemia. Blood. 144(Supplement 1). 2889–2889.
6.
Miyamoto, Toshihiro, Hee‐Je Kim, Yasushi Hiramatsu, et al.. (2024). A phase 1/2 study of gilteritinib in combination with chemotherapy in newly diagnosed patients with AML in Asia. International Journal of Hematology. 121(1). 56–67.
7.
Cho, Hyunsoo, Ji Eun Jang, Seung‐Tae Lee, et al.. (2024). NUP98 is rearranged in 5.0% of adult East Asian patients with AML. Blood Advances. 8(19). 5122–5125. 3 indexed citations
8.
Lee, Sung‐Eun, Sung-Soo Yoon, Deok‐Hwan Yang, et al.. (2023). A Single-Arm, Open-Label, Multicenter Study to Assess Molecular Response of P1101 Therapy in Patients with Polycythemia Vera and Elevated Hematocrit: Results from 12-Month Core Study. Blood. 142(Supplement 1). 4575–4575. 3 indexed citations
9.
Cheong, June‐Won & Yoo Hong Min. (2023). Changing the strategic paradigm for the treatment of adult acute myeloid leukemia. Journal of Korean Medical Association. 66(4). 234–244. 1 indexed citations
10.
Lee, Sung‐Eun, Sung-Soo Yoon, Deok‐Hwan Yang, et al.. (2023). P1042: COMPARISON OF THE RESPONSE TO ROPEGINTERFERON ALFA-2B IN HYDROXYUREA NAÏVE VERSUS RESISTANCE/INTOLERANCE POLYCYTHEMIA VERA: THE KOREAN SINGLE-ARM, OPEN-LABEL MULTICENTER STUDY. HemaSphere. 7(S3). e86929d8–e86929d8. 1 indexed citations
11.
Cho, Hyunsoo, Kyung Hwan Kim, Hoyoung Lee, et al.. (2021). Adaptive Natural Killer Cells Facilitate Effector Functions of Daratumumab in Multiple Myeloma. Clinical Cancer Research. 27(10). 2947–2958. 31 indexed citations
12.
An, Ki‐Yong, et al.. (2020). Exercise barriers and facilitators during hematopoietic stem cell transplantation: a qualitative study. BMJ Open. 10(9). e037460–e037460. 10 indexed citations
13.
Kim, Borahm, Ji Eun Jang, Soo‐Jeong Kim, et al.. (2019). Targeted next generation sequencing can serve as an alternative to conventional tests in myeloid neoplasms. PLoS ONE. 14(3). e0212228–e0212228. 9 indexed citations
14.
Choi, Jae-Ki, Sung‐Yeon Cho, Sung‐Soo Yoon, et al.. (2017). Epidemiology and Risk Factors for Invasive Fungal Diseases among Allogeneic Hematopoietic Stem Cell Transplant Recipients in Korea: Results of “RISK” Study. Biology of Blood and Marrow Transplantation. 23(10). 1773–1779. 32 indexed citations
15.
Jang, Ji Eun, Hoi-Kyung Jeung, June‐Won Cheong, et al.. (2016). AMPK–ULK1-Mediated Autophagy Confers Resistance to BET Inhibitor JQ1 in Acute Myeloid Leukemia Stem Cells. Clinical Cancer Research. 23(11). 2781–2794. 107 indexed citations
16.
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
17.
18.
19.
Kim, Soo‐Jeong, Ji Eun Jang, June‐Won Cheong, et al.. (2012). Aurora A kinase expression is increased in leukemia stem cells, and a selective Aurora A kinase inhibitor enhances Ara-C-induced apoptosis in acute myeloid leukemia stem cells. The Korean Journal of Hematology. 47(3). 178–178. 16 indexed citations
20.
Lee, Jaehoon, Y T Ko, Hoyoung Maeng, et al.. (2002). A Case of Serum Amino Acid Disturbance with Hyperammonemia in a Patient with Multiple Myeloma. Blood Research. 37(1). 14–87.

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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