Young‐Don Joo
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Biological Psychiatry top 5%
Papers in
- Hematology 36
- Acute Myeloid Leukemia Research 19
- Hematopoietic Stem Cell Transplantation 18
- Multiple Myeloma Research and Treatments 9
- Oncology 18
- Neutropenia and Cancer Infections 7
- Co-authors
- Ki-Ho Han (7 shared papers)Song‐I Han (5 shared papers)Inhak Choi (7 shared papers)Won-Sik Lee (16 shared papers)Su‐Kil Seo (10 shared papers)Kyoo‐Hyung Lee (20 shared papers)Je‐Hwan Lee (21 shared papers)Jung‐Hee Lee (18 shared papers)
- Journals
- Blood (8 papers)Annals of Hematology (7 papers)Acta Haematologica (3 papers)European Journal Of Haematology (3 papers)Transfusion (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Young‐Don Joo
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Hematology 518
- Biological Psychiatry 65
- Genetics 155
- Behavioral Neuroscience 42
- Oncology 309
Countries citing papers authored by Young‐Don Joo
This map shows the geographic impact of Young‐Don Joo'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 Young‐Don Joo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Don Joo more than expected).
Fields of papers citing papers by Young‐Don Joo
This network shows the impact of papers produced by Young‐Don Joo. 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 Young‐Don Joo. The network helps show where Young‐Don Joo may publish in the future.
Co-authors
The 25 scholars most cited alongside Young‐Don Joo, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 137 | |
| 2 | 2013 | 116 | |
| 3 | 2011 | 102 | |
| 4 | 2012 | 77 | |
| 5 | 2007 | 77 | |
| 6 | 2010 | 62 | |
| 7 | 2017 | 49 | |
| 8 | 2008 | 48 | |
| 9 | 2013 | 48 | |
| 10 | 2005 | 45 | |
| 11 | 2013 | 41 | |
| 12 | 2009 | 34 | |
| 13 | 2011 | 30 | |
| 14 | 2010 | 25 | |
| 15 | 2013 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2009 | 20 | |
| 18 | 2012 | 18 | |
| 19 | 2017 | 18 | |
| 20 | 2015 | 18 |
About Young‐Don Joo
Young‐Don Joo is a scholar working on Hematology, Oncology, Immunology, Genetics and Epidemiology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Hematopoietic Stem Cell Transplantation (18 papers), Multiple Myeloma Research and Treatments (9 papers), Neutropenia and Cancer Infections (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Microfluidic and Bio-sensing Technologies (6 papers). The work is most often cited by research in Hematology (518 citations), Biological Psychiatry (65 citations), Genetics (155 citations), Behavioral Neuroscience (42 citations) and Oncology (309 citations). Young‐Don Joo has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Ki-Ho Han, Song‐I Han, Inhak Choi, Won-Sik Lee, Su‐Kil Seo, Kyoo‐Hyung Lee, Je‐Hwan Lee, Jung‐Hee Lee, Hawk Kim and Dae‐Young Kim. Their work appears in journals such as Blood, Annals of Hematology, Acta Haematologica, European Journal Of Haematology and Transfusion.
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.