Dongjun Lee
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- Thermochemical Biomass Conversion Processes 6
- Robotic Locomotion and Control 6
- Co-authors
- David T. Scadden (11 shared papers)Dae‐Sik Lim (10 shared papers)Mark W. Spong (2 shared papers)Youmna Kfoury (5 shared papers)Ninib Baryawno (6 shared papers)Karin Gustafsson (2 shared papers)Konstantinos D. Kokkaliaris (2 shared papers)Nicolas Sévère (2 shared papers)
- Journals
- International Journal of Molecular Sciences (7 papers)Blood (4 papers)Cell stem cell (3 papers)Marine Drugs (3 papers)IEEE Transactions on Vehicular Technology (3 papers)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Dongjun Lee
129 papers receiving 3.2k citations
Dongjun Lee's Hit Papers
Peers
Comparison fields: 5 of 160
- Hematology 508
- Genetics 360
- Cell Biology 496
- Cancer Research 359
- Immunology 402
Countries citing papers authored by Dongjun Lee
This map shows the geographic impact of Dongjun 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 Dongjun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongjun Lee more than expected).
Fields of papers citing papers by Dongjun Lee
This network shows the impact of papers produced by Dongjun 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 Dongjun Lee. The network helps show where Dongjun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongjun 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemia Hit paper breakdown → | 2019 | 577 |
| 2 | 2008 | 272 | |
| 3 | 2014 | 265 | |
| 4 | 2019 | 146 | |
| 5 | 2007 | 114 | |
| 6 | 2009 | 109 | |
| 7 | 2009 | 95 | |
| 8 | 2019 | 87 | |
| 9 | 2006 | 69 | |
| 10 | 2012 | 69 | |
| 11 | 2014 | 61 | |
| 12 | 2015 | 50 | |
| 13 | 2021 | 50 | |
| 14 | A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges Hit paper breakdown → | 2025 | 43 |
| 15 | 2010 | 41 | |
| 16 | 2021 | 39 | |
| 17 | 2012 | 38 | |
| 18 | 2007 | 36 | |
| 19 | 2016 | 35 | |
| 20 | 2000 | 35 |
About Dongjun Lee
Dongjun Lee is a scholar working on Molecular Biology, Biomedical Engineering, Hematology, Cell Biology and Surgery, having authored 142 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Cholesterol and Lipid Metabolism (9 papers), Wireless Communication Networks Research (8 papers), Advanced Wireless Network Optimization (7 papers), Thermochemical Biomass Conversion Processes (6 papers), Advanced Wireless Communication Techniques (6 papers), Robotic Locomotion and Control (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Hematology (508 citations), Genetics (360 citations), Cell Biology (496 citations), Cancer Research (359 citations) and Immunology (402 citations). Dongjun Lee has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include David T. Scadden, Dae‐Sik Lim, Mark W. Spong, Youmna Kfoury, Ninib Baryawno, Karin Gustafsson, Konstantinos D. Kokkaliaris, Nicolas Sévère, François Mercier and Ani Papazian. Their work appears in journals such as International Journal of Molecular Sciences, Blood, Cell stem cell, Marine Drugs and IEEE Transactions on Vehicular Technology.
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.