S. J. Lee
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Transplantation top 5%
Papers in
- Hematology 16
- Hematopoietic Stem Cell Transplantation 12
- Acute Myeloid Leukemia Research 2
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- Childhood Cancer Survivors' Quality of Life 7
- Co-authors
- X. Chai (6 shared papers)Daniel Wolff (3 shared papers)Ánita Lawitschka (2 shared papers)S.Ž. Pavletić (2 shared papers)Steven Z. Pavletic (6 shared papers)Joseph Pidala (6 shared papers)H Bertz (1 shared paper)J. Kühl (1 shared paper)
- Journals
- Bone Marrow Transplantation (7 papers)Haematologica (6 papers)Blood (2 papers)Journal of Clinical Oncology (2 papers)Scandinavian Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
S. J. Lee
22 papers receiving 784 citations
Peers
Comparison fields: 5 of 78
- Hematology 517
- Transplantation 54
- Genetics 170
- Oncology 192
- Pediatrics, Perinatology and Child Health 136
Countries citing papers authored by S. J. Lee
This map shows the geographic impact of S. J. 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 S. J. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. J. Lee more than expected).
Fields of papers citing papers by S. J. Lee
This network shows the impact of papers produced by S. J. 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 S. J. Lee. The network helps show where S. J. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside S. J. 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 142 | |
| 2 | 2006 | 64 | |
| 3 | 2011 | 63 | |
| 4 | 2011 | 62 | |
| 5 | 2010 | 53 | |
| 6 | 2004 | 51 | |
| 7 | 2016 | 45 | |
| 8 | 2018 | 44 | |
| 9 | 2011 | 42 | |
| 10 | 2016 | 30 | |
| 11 | 2000 | 29 | |
| 12 | 2011 | 28 | |
| 13 | 2001 | 23 | |
| 14 | 2015 | 22 | |
| 15 | 2014 | 22 | |
| 16 | 2013 | 20 | |
| 17 | 2012 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 1990 | 10 | |
| 20 | 2016 | 7 |
About S. J. Lee
S. J. Lee is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Genetics and Oncology, having authored 22 papers that have together received 794 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Acute Lymphoblastic Leukemia research (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Mesenchymal stem cell research (2 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (517 citations), Transplantation (54 citations), Genetics (170 citations), Oncology (192 citations) and Pediatrics, Perinatology and Child Health (136 citations). S. J. Lee has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include X. Chai, Daniel Wolff, Ánita Lawitschka, S.Ž. Pavletić, Steven Z. Pavletic, Joseph Pidala, H Bertz, J. Kühl, Ingo Kleiter and Oliver Grauer. Their work appears in journals such as Bone Marrow Transplantation, Haematologica, Blood, Journal of Clinical Oncology and Scandinavian Journal of Immunology.
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.