Tae Sung Park
- Hematology top 2%
- Acute Myeloid Leukemia Research 40
- Chronic Myeloid Leukemia Treatments 16
- Blood groups and transfusion 8
- Multiple Myeloma Research and Treatments 6
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
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- Retinoids in leukemia and cellular processes 10
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- Acute Lymphoblastic Leukemia research 16
- Co-authors
- Jong Rak ChoiSun Young ChoJohn YangHee Joo LeeJaewoo SongMin Jin KimWooin LeeSeung Hwan Oh
- Cited by
- HematologyGeneticsMolecular Medicine
- Journals
- Clinical Cancer Research (1 paper)Biochemical and Biophysical Research Communications (2 papers)Journal of Clinical Microbiology (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Tae Sung Park
85 papers receiving 889 citations
Peers
Comparison fields: 5 of 95
- Hematology 368
- Genetics 142
- Molecular Medicine 28
- Molecular Biology 334
- Public Health, Environmental and Occupational Health 128
Countries citing papers authored by Tae Sung Park
This map shows the geographic impact of Tae Sung Park'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 Tae Sung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Sung Park more than expected).
Fields of papers citing papers by Tae Sung Park
This network shows the impact of papers produced by Tae Sung Park. 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 Tae Sung Park. The network helps show where Tae Sung Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tae Sung Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2020 | 1 | |
| 3 | 2013 | 2 | |
| 4 | 2013 | 1 | |
| 5 | 2012 | 2 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 1 | |
| 8 | 2011 | 6 | |
| 9 | 2010 | 10 | |
| 10 | 2010 | 7 | |
| 11 | 2010 | 11 | |
| 12 | 2010 | 18 | |
| 13 | 2010 | 14 | |
| 14 | 2009 | 12 | |
| 15 | 2008 | 16 | |
| 16 | 2007 | 89 | |
| 17 | 2006 | 21 | |
| 18 | T-cell acute lymphoblastic leukemia associated with complex karyotype and SET-NUP214 rearrangement: a case study and review of the literature. | 2005 | 15 |
| 19 | Transfusion Therapy in a Patient with Hemolytic Transfusion Reaction due to Anti-Jka | 2003 | 2 |
| 20 | 2003 | 17 |
About Tae Sung Park
Tae Sung Park is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 90 papers that have together received 914 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (40 papers), Chronic Myeloid Leukemia Treatments (16 papers), Acute Lymphoblastic Leukemia research (16 papers), Chronic Lymphocytic Leukemia Research (13 papers), Retinoids in leukemia and cellular processes (10 papers), Blood groups and transfusion (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Hematology (368 citations), Genetics (142 citations) and Molecular Medicine (28 citations). Tae Sung Park has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jong Rak Choi, Sun Young Cho, John Yang, Hee Joo Lee, Jaewoo Song, Min Jin Kim, Wooin Lee, Seung Hwan Oh, Sang‐Guk Lee and Kyung‐A Lee. Their work appears in journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.
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.