David Seong
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 11
- Chronic Myeloid Leukemia Treatments 9
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 5
- Immunology top 5%
- Immunotherapy and Immune Responses 3
- Oncology top 10%
- Polyomavirus and related diseases 3
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments 5
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- Eosinophilic Disorders and Syndromes 4
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- Machine Learning in Healthcare 3
- Co-authors
- Sergio GiraltDonna PrzepiorkaKoen van BesienM KörblingBörje S. AnderssonAB DeisserothH.-D. KleineYO Huh
- Cited by
- HematologyGeneticsImmunology
- Journals
- British Journal of Haematology (5 papers)Blood (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
David Seong
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Hematology 1.0k
- Genetics 308
- Immunology 483
- Oncology 378
- Transplantation 37
Countries citing papers authored by David Seong
This map shows the geographic impact of David Seong'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 David Seong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Seong more than expected).
Fields of papers citing papers by David Seong
This network shows the impact of papers produced by David Seong. 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 David Seong. The network helps show where David Seong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Seong, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 41 | |
| 7 | 2019 | 7 | |
| 8 | 1997 | 28 | |
| 9 | 1997 | 18 | |
| 10 | 1997 | 29 | |
| 11 | 1997 | 50 | |
| 12 | 1996 | 20 | |
| 13 | 1996 | 19 | |
| 14 | 1996 | 34 | |
| 15 | 1993 | 8 | |
| 16 | 1993 | 14 | |
| 17 | 1991 | 3 | |
| 18 | Future directions in molecular and genetic therapy for Leukemias and solid tumors | 1990 | 0 |
| 19 | 1990 | 3 | |
| 20 | 1990 | 5 |
About David Seong
David Seong is a scholar working on Transplantation, Hematology, Genetics, Oncology and Immunology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Chronic Myeloid Leukemia Treatments (9 papers), Renal Transplantation Outcomes and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Machine Learning in Healthcare (3 papers), Polyomavirus and related diseases (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (308 citations), Immunology (483 citations), Oncology (378 citations) and Transplantation (37 citations). David Seong has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Sergio Giralt, Donna Przepiorka, Koen van Besien, M Körbling, Börje S. Andersson, AB Deisseroth, H.-D. Kleine, YO Huh, Heike Engel and Paolo Anderlini. Their work appears in journals such as British Journal of Haematology, Blood, Journal of Biological Chemistry, Clinical Infectious Diseases 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.