Youngil Koh
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Lung Cancer Research Studies
- CAR-T cell therapy research
Papers in
- Hematology 73
- Multiple Myeloma Research and Treatments 49
- Acute Myeloid Leukemia Research 16
- Oncology 56
- Peptidase Inhibition and Analysis 19
- Cancer Treatment and Pharmacology 9
- CAR-T cell therapy research 9
- Co-authors
- Sung‐Soo Yoon (38 shared papers)Kyongsu Yi (5 shared papers)Eunhyek Joa (4 shared papers)Dae Seog Heo (8 shared papers)Se‐Hoon Lee (9 shared papers)Doo Hyun Chung (5 shared papers)Ja Min Byun (33 shared papers)Kil‐Soo Kim (4 shared papers)
- Journals
- Blood (10 papers)Scientific Reports (6 papers)Journal of Clinical Oncology (6 papers)Cancer Research (5 papers)International Journal of Hematology (4 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Youngil Koh
131 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Hematology 353
- Oncology 729
- Pulmonary and Respiratory Medicine 546
- Nephrology 115
- Cancer Research 211
Countries citing papers authored by Youngil Koh
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
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-authors
The 25 scholars most cited alongside Youngil Koh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2013 | 104 | |
| 3 | 2012 | 78 | |
| 4 | 2015 | 69 | |
| 5 | 2012 | 68 | |
| 6 | 2012 | 57 | |
| 7 | 2011 | 56 | |
| 8 | 2021 | 55 | |
| 9 | 2009 | 52 | |
| 10 | 2010 | 50 | |
| 11 | 2011 | 45 | |
| 12 | 2018 | 44 | |
| 13 | 2020 | 42 | |
| 14 | 2016 | 35 | |
| 15 | 2020 | 35 | |
| 16 | 2017 | 34 | |
| 17 | 2017 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2018 | 23 | |
| 20 | 2022 | 22 |
About Youngil Koh
Youngil Koh is a scholar working on Hematology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 143 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (49 papers), Peptidase Inhibition and Analysis (19 papers), Protein Degradation and Inhibitors (18 papers), Acute Myeloid Leukemia Research (16 papers), Cancer Genomics and Diagnostics (12 papers), Lymphoma Diagnosis and Treatment (11 papers), Cancer Treatment and Pharmacology (9 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Hematology (353 citations), Oncology (729 citations), Pulmonary and Respiratory Medicine (546 citations), Nephrology (115 citations) and Cancer Research (211 citations). Youngil Koh has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sung‐Soo Yoon, Kyongsu Yi, Eunhyek Joa, Dae Seog Heo, Se‐Hoon Lee, Doo Hyun Chung, Ja Min Byun, Kil‐Soo Kim, Seung‐Hoon Lee and Tae Min Kim. Their work appears in journals such as Blood, Scientific Reports, Journal of Clinical Oncology, Cancer Research and International Journal of Hematology.
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.