Dong Il Won
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Epidemiology 22
- Mycobacterium research and diagnosis 8
- Cytomegalovirus and herpesvirus research 7
- Immunology 22
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 14
- Co-authors
- Jang Soo Suh (23 shared papers)K B Lee (1 shared paper)S.K. Sohn (1 shared paper)D H Kim (1 shared paper)Yong-Lim Kim (15 shared papers)Sang Kyun Sohn (6 shared papers)Kyu Bo Lee (6 shared papers)Chan‐Duck Kim (17 shared papers)
- Journals
- Cytometry Part B Clinical Cytometry (13 papers)Annals of Laboratory Medicine (8 papers)Journal of Korean Medical Science (6 papers)HLA (6 papers)Transplantation (3 papers)
- Partner nations
- South KoreaEgypt
In The Last Decade
Dong Il Won
69 papers receiving 739 citations
Peers
Comparison fields: 5 of 83
- Transplantation 143
- Hematology 232
- Immunology 226
- Genetics 74
- Epidemiology 186
Countries citing papers authored by Dong Il Won
This map shows the geographic impact of Dong Il Won'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 Dong Il Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Il Won more than expected).
Fields of papers citing papers by Dong Il Won
This network shows the impact of papers produced by Dong Il Won. 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 Dong Il Won. The network helps show where Dong Il Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Il Won, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 108 | |
| 2 | 2008 | 46 | |
| 3 | 2010 | 44 | |
| 4 | 2005 | 35 | |
| 5 | 2014 | 34 | |
| 6 | 2006 | 29 | |
| 7 | 2015 | 25 | |
| 8 | 2008 | 24 | |
| 9 | 2010 | 22 | |
| 10 | 2006 | 21 | |
| 11 | 2006 | 20 | |
| 12 | 2008 | 20 | |
| 13 | 2019 | 19 | |
| 14 | 2012 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2009 | 15 | |
| 17 | 2013 | 15 | |
| 18 | 2018 | 13 | |
| 19 | 2011 | 13 | |
| 20 | 2022 | 13 |
About Dong Il Won
Dong Il Won is a scholar working on Epidemiology, Immunology, Transplantation, Hematology and Surgery, having authored 78 papers that have together received 755 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (21 papers), T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (14 papers), Tuberculosis Research and Epidemiology (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Mycobacterium research and diagnosis (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Cytomegalovirus and herpesvirus research (7 papers). The work is most often cited by research in Transplantation (143 citations), Hematology (232 citations), Immunology (226 citations), Genetics (74 citations) and Epidemiology (186 citations). Dong Il Won has collaborated with scholars based in South Korea and Egypt. Frequent co-authors include Jang Soo Suh, K B Lee, S.K. Sohn, D H Kim, Yong-Lim Kim, Sang Kyun Sohn, Kyu Bo Lee, Chan‐Duck Kim, Ye Jee Shim and Sun-Hee Park. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Annals of Laboratory Medicine, Journal of Korean Medical Science, HLA and Transplantation.
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.