Deok‐Hwan Yang
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
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- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 63
- Acute Myeloid Leukemia Research 25
- Multiple Myeloma Research and Treatments 16
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- Lymphoma Diagnosis and Treatment 55
- Co-authors
- Je‐Jung Lee (79 shared papers)Hyeoung‐Joon Kim (68 shared papers)Jae‐Sook Ahn (54 shared papers)Yeo‐Kyeoung Kim (44 shared papers)Sung‐Hoon Jung (35 shared papers)Sang Kyun Sohn (19 shared papers)Yee Soo Chae (11 shared papers)Ik‐Joo Chung (12 shared papers)
- Journals
- Blood (33 papers)Cancer Research and Treatment (8 papers)Annals of Hematology (7 papers)American Journal of Hematology (7 papers)Bone Marrow Transplantation (6 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Deok‐Hwan Yang
146 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 87
- Hematology 708
- Pathology and Forensic Medicine 569
- Genetics 267
- Oncology 552
- Immunology 379
Countries citing papers authored by Deok‐Hwan Yang
This map shows the geographic impact of Deok‐Hwan Yang'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 Deok‐Hwan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deok‐Hwan Yang more than expected).
Fields of papers citing papers by Deok‐Hwan Yang
This network shows the impact of papers produced by Deok‐Hwan Yang. 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 Deok‐Hwan Yang. The network helps show where Deok‐Hwan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Deok‐Hwan Yang, 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 90 | |
| 2 | 2018 | 90 | |
| 3 | 2011 | 77 | |
| 4 | 2008 | 67 | |
| 5 | 2007 | 63 | |
| 6 | 2008 | 56 | |
| 7 | 2016 | 54 | |
| 8 | 2005 | 51 | |
| 9 | 2010 | 49 | |
| 10 | 2013 | 49 | |
| 11 | 2016 | 47 | |
| 12 | 2022 | 47 | |
| 13 | 2011 | 45 | |
| 14 | 2006 | 42 | |
| 15 | 2008 | 40 | |
| 16 | 2008 | 39 | |
| 17 | 2013 | 36 | |
| 18 | 2015 | 35 | |
| 19 | 2018 | 34 | |
| 20 | 2008 | 30 |
About Deok‐Hwan Yang
Deok‐Hwan Yang is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Immunology, having authored 160 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (55 papers), Acute Myeloid Leukemia Research (25 papers), Multiple Myeloma Research and Treatments (16 papers), Viral-associated cancers and disorders (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers), Immune Cell Function and Interaction (14 papers), Immunotherapy and Immune Responses (13 papers) and Chronic Lymphocytic Leukemia Research (12 papers). The work is most often cited by research in Hematology (708 citations), Pathology and Forensic Medicine (569 citations), Genetics (267 citations), Oncology (552 citations) and Immunology (379 citations). Deok‐Hwan Yang has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Je‐Jung Lee, Hyeoung‐Joon Kim, Jae‐Sook Ahn, Yeo‐Kyeoung Kim, Sung‐Hoon Jung, Sang Kyun Sohn, Yee Soo Chae, Ik‐Joo Chung, Myung‐Geun Shin and Jae‐Yong Kwak. Their work appears in journals such as Blood, Cancer Research and Treatment, Annals of Hematology, American Journal of Hematology and Bone Marrow 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.