Hyewon Lee
- Hematology top 5%
- Multiple Myeloma Research and Treatments 14
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 6
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 5
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- Lymphoma Diagnosis and Treatment 6
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- Protein Degradation and Inhibitors 6
- Co-authors
- Hyeon‐Seok EomSun‐Young KongIgor Novitzky‐BassoDennis Dong Hwan KimEunyoung LeeHyun-Joo KongYoung‐Joo WonHyeon Jin Park
- Cited by
- HematologyGeneticsOncology
- Journals
- Annals of Laboratory Medicine (4 papers)Annals of Hematology (3 papers)Leukemia Research (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Hyewon Lee
36 papers receiving 420 citations
Peers
Comparison fields: 5 of 70
- Hematology 220
- Genetics 88
- Oncology 150
- Pathology and Forensic Medicine 62
- Immunology 46
Countries citing papers authored by Hyewon Lee
This map shows the geographic impact of Hyewon Lee'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 Hyewon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyewon Lee more than expected).
Fields of papers citing papers by Hyewon Lee
This network shows the impact of papers produced by Hyewon Lee. 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 Hyewon Lee. The network helps show where Hyewon Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyewon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 6 | |
| 5 | 2018 | 3 | |
| 6 | 2018 | 20 | |
| 7 | 2018 | 9 | |
| 8 | 2017 | 9 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 21 | |
| 11 | 2016 | 7 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 6 | |
| 14 | 2015 | 43 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 3 | |
| 18 | Assessment of Effects of Phlebotomy in Patients with Polycythemia Vera and Secondary Polycythemia | 2013 | 3 |
| 19 | 2012 | 63 | |
| 20 | 2011 | 45 |
About Hyewon Lee
Hyewon Lee is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Emergency Medicine, having authored 38 papers that have together received 424 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Protein Degradation and Inhibitors (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (220 citations), Genetics (88 citations), Oncology (150 citations), Pathology and Forensic Medicine (62 citations) and Immunology (46 citations). Hyewon Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyeon‐Seok Eom, Sun‐Young Kong, Igor Novitzky‐Basso, Dennis Dong Hwan Kim, Eunyoung Lee, Hyun-Joo Kong, Young‐Joo Won, Hyeon Jin Park, Eunhye Park and Byung-Kiu Park. Their work appears in journals such as Annals of Laboratory Medicine, Annals of Hematology, Leukemia Research, BioMed Research International and Oncotarget.
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.