Youngil Koh

5.2k total citations
108 papers, 1.1k citations indexed

About

Youngil Koh is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Youngil Koh has authored 108 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Hematology, 36 papers in Molecular Biology and 31 papers in Genetics. Recurrent topics in Youngil Koh's work include Acute Myeloid Leukemia Research (45 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers) and Hematopoietic Stem Cell Transplantation (12 papers). Youngil Koh is often cited by papers focused on Acute Myeloid Leukemia Research (45 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers) and Hematopoietic Stem Cell Transplantation (12 papers). Youngil Koh collaborates with scholars based in South Korea, United States and Ethiopia. Youngil Koh's co-authors include Sung‐Soo Yoon, Inho Kim, Dong‐Yeop Shin, Junshik Hong, Ja Min Byun, Soo‐Mee Bang, Seonyang Park, Hyomin Lee, Sung Jae Kim and Sang Woo Seo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

Youngil Koh

105 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngil Koh South Korea 19 344 334 228 144 130 108 1.1k
Chirayu Auewarakul Thailand 18 343 1.0× 237 0.7× 151 0.7× 210 1.5× 110 0.8× 63 1.0k
Mi Kwon Spain 19 547 1.6× 158 0.5× 376 1.6× 98 0.7× 101 0.8× 113 1.1k
Andreas Rank Germany 23 676 2.0× 523 1.6× 482 2.1× 124 0.9× 262 2.0× 86 2.2k
Mariusz Wysocki Poland 15 239 0.7× 188 0.6× 210 0.9× 101 0.7× 93 0.7× 151 913
Sonali Chaudhury United States 17 573 1.7× 228 0.7× 230 1.0× 528 3.7× 96 0.7× 64 1.2k
Véronique Saada France 17 165 0.5× 190 0.6× 153 0.7× 112 0.8× 113 0.9× 53 942
Mark Stevens Australia 16 537 1.6× 163 0.5× 338 1.5× 117 0.8× 238 1.8× 38 1.2k
Susana Rives Spain 20 274 0.8× 231 0.7× 712 3.1× 329 2.3× 90 0.7× 70 1.4k
Jong Jin Seo South Korea 24 655 1.9× 212 0.6× 291 1.3× 213 1.5× 144 1.1× 110 1.5k
Netanel A. Horowitz Israel 17 215 0.6× 176 0.5× 429 1.9× 154 1.1× 108 0.8× 77 1.0k

Countries citing papers authored by Youngil Koh

Since Specialization
Citations

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

Fields of papers citing papers by Youngil Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngil Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Youngil Koh. A scholar is included among the top collaborators of Youngil Koh 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 Youngil Koh. Youngil Koh 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.
Koh, Youngil, Dong‐Yeop Shin, Sung‐Soo Yoon, et al.. (2025). Incidence and Characteristics of Infectious Complications in Multiple Myeloma Patients Treated With Bispecific Antibodies. Journal of Korean Medical Science. 40(20). e86–e86. 2 indexed citations
2.
Lee, Sang Mi, Sungyoung Lee, Chang Wook Jeong, et al.. (2024). Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data. Genome biology. 25(1). 66–66. 2 indexed citations
3.
Youk, Jeonghwan, Ja Min Byun, Youngil Koh, et al.. (2023). Effects of tertiary palliative care on the pattern of end‐of‐life care in patients with hematologic malignancies in Korea. European Journal Of Haematology. 112(5). 743–755. 6 indexed citations
4.
Liu, Jun, Dong Chan Kim, Jihyun Park, et al.. (2023). Pharmacological GLUT3 salvage augments the efficacy of vitamin C-induced TET2 restoration in acute myeloid leukemia. Leukemia. 37(8). 1638–1648. 4 indexed citations
5.
Koh, Youngil, Seokhyeon Kim, Sang Mi Lee, et al.. (2023). Systematic analysis of Mendelian disease-associated gene variants reveals new classes of cancer-predisposing genes. Genome Medicine. 15(1). 107–107. 3 indexed citations
6.
Menon, A Vipin, Yeon Jeong Kim, Junehawk Lee, et al.. (2022). Ultrafast prediction of somatic structural variations by filtering out reads matched to pan-genome k-mer sets. Nature Biomedical Engineering. 7(7). 853–866. 5 indexed citations
7.
Ahn, Hyun Jin, Ja Min Byun, Inho Kim, et al.. (2022). Eltrombopag for Post-Transplant Poor Graft Function in East Asian Patients. Journal of Korean Medical Science. 37(6). e48–e48. 3 indexed citations
8.
Park, Ji‐Ho, Hyungmin Kim, Siyoung Choi, et al.. (2021). Loss of BubR1 acetylation provokes replication stress and leads to complex chromosomal rearrangements. FEBS Journal. 288(20). 5925–5942. 1 indexed citations
9.
Son, Su Young, Jae Sang Oh, Ja Min Byun, et al.. (2021). Metabolic Profiling during Acute Myeloid Leukemia Progression Using Paired Clinical Bone Marrow Serum Samples. Metabolites. 11(9). 586–586. 5 indexed citations
10.
Lee, Eunyoung, Youngil Koh, Junshik Hong, Hyeon‐Seok Eom, & Sung‐Soo Yoon. (2021). Recent Clinical Update of Acute Myeloid Leukemia: Focus on Epigenetic Therapies. Journal of Korean Medical Science. 36(13). e85–e85. 7 indexed citations
11.
Kim, Min A, Soo Young Byun, Jun Liu, et al.. (2021). Noncanonical immune response to the inhibition of DNA methylation by Staufen1 via stabilization of endogenous retrovirus RNAs. Proceedings of the National Academy of Sciences. 118(13). 29 indexed citations
12.
13.
Byun, Ja Min, Young Nam Kwon, Youngil Koh, et al.. (2019). Distinctive patterns of peripheral neuropathy across the spectrum of plasma cell disorders. Scientific Reports. 9(1). 16769–16769. 4 indexed citations
14.
15.
Hong, Junshik, Woo Chan Park, Dong‐Yeop Shin, et al.. (2018). Better treatment outcomes in patients with actively treated therapy-related myeloid neoplasms harboring a normal karyotype. PLoS ONE. 13(12). e0209800–e0209800. 3 indexed citations
16.
Park, Hyunkyung, Jeonghwan Youk, Wan Beom Park, et al.. (2017). Mycafungin Prophylaxis for Adult Acute Leukemia Patients Undergoing Induction Chemotherapy. Blood. 130. 5033–5033.
17.
Lee, Min Kyung, Hyun Sub Cheong, Youngil Koh, et al.. (2016). Genetic Association of PARP15 Polymorphisms with Clinical Outcome of Acute Myeloid Leukemia in a Korean Population. Genetic Testing and Molecular Biomarkers. 20(11). 696–701. 14 indexed citations
18.
Park, Hyunkyung, Jeonghwan Youk, Inho Kim, et al.. (2016). Comparison of cladribine- and fludarabine-based induction chemotherapy in relapsed or refractory acute myeloid leukaemia. Annals of Hematology. 95(11). 1777–1786. 23 indexed citations
19.
Kwon, Ji Hyun, Inho Kim, Youngil Koh, et al.. (2010). Clinical course of non-severe aplastic anemia in adults. International Journal of Hematology. 91(5). 770–775. 30 indexed citations
20.
Lee, Kuhn‐Uk, Soo‐Mee Bang, Sun Young Kim, et al.. (2009). The incidence, risk factors and prognostic implications of venous thromboembolism in patients with gastric cancer. Journal of Thrombosis and Haemostasis. 8(3). 540–547. 80 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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