Won-Sik Lee
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 27
- Acute Myeloid Leukemia Research 12
- Multiple Myeloma Research and Treatments 9
- Hematopoietic Stem Cell Transplantation 7
- Chronic Myeloid Leukemia Treatments 4
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- Lymphoma Diagnosis and Treatment 16
- Co-authors
- Joon‐Phil Choi (5 shared papers)Jai‐Sung Lee (5 shared papers)Young‐Don Joo (16 shared papers)Sae-Gwang Park (7 shared papers)Su‐Kil Seo (7 shared papers)Inhak Choi (5 shared papers)Il‐Whan Choi (6 shared papers)Je‐Hwan Lee (14 shared papers)
- Journals
- Blood (14 papers)Annals of Hematology (7 papers)Powder Technology (5 papers)Cancer Chemotherapy and Pharmacology (2 papers)Cytokine (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Won-Sik Lee
68 papers receiving 865 citations
Peers
Comparison fields: 5 of 104
- Biological Psychiatry 92
- Hematology 246
- Behavioral Neuroscience 45
- Pathology and Forensic Medicine 170
- Immunology 155
Countries citing papers authored by Won-Sik Lee
This map shows the geographic impact of Won-Sik 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 Won-Sik Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won-Sik Lee more than expected).
Fields of papers citing papers by Won-Sik Lee
This network shows the impact of papers produced by Won-Sik 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 Won-Sik Lee. The network helps show where Won-Sik Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Won-Sik 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
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 103 | |
| 2 | 2007 | 77 | |
| 3 | 2010 | 63 | |
| 4 | 2017 | 61 | |
| 5 | 2013 | 50 | |
| 6 | 2015 | 50 | |
| 7 | 2017 | 49 | |
| 8 | 2005 | 45 | |
| 9 | 2013 | 43 | |
| 10 | 2014 | 37 | |
| 11 | 2017 | 22 | |
| 12 | 2012 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2010 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2011 | 9 |
About Won-Sik Lee
Won-Sik Lee is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Immunology, having authored 77 papers that have together received 883 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Acute Myeloid Leukemia Research (12 papers), Multiple Myeloma Research and Treatments (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Injection Molding Process and Properties (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Biological Psychiatry (92 citations), Hematology (246 citations), Behavioral Neuroscience (45 citations), Pathology and Forensic Medicine (170 citations) and Immunology (155 citations). Won-Sik Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Joon‐Phil Choi, Jai‐Sung Lee, Young‐Don Joo, Sae-Gwang Park, Su‐Kil Seo, Inhak Choi, Il‐Whan Choi, Je‐Hwan Lee, Hawk Kim and Kyoo‐Hyung Lee. Their work appears in journals such as Blood, Annals of Hematology, Powder Technology, Cancer Chemotherapy and Pharmacology and Cytokine.
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.