Dae‐Hyun Ko
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
- Hematology top 10%
- Blood groups and transfusion
Papers in
- Hematology 31
- Blood groups and transfusion 27
- Physiology 18
- Erythrocyte Function and Pathophysiology 11
- Clinical Laboratory Practices and Quality Control 7
- Co-authors
- Sail Chun (23 shared papers)Jungwon Hyun (12 shared papers)Sang‐Hyun Hwang (42 shared papers)Hyungsuk Kim (36 shared papers)Junghan Song (13 shared papers)Won‐Ki Min (17 shared papers)Heung‐Bum Oh (38 shared papers)Woochang Lee (16 shared papers)
- Journals
- Annals of Laboratory Medicine (14 papers)Clinica Chimica Acta (4 papers)American Journal of Clinical Pathology (4 papers)Scandinavian Journal of Clinical and Laboratory Investigation (4 papers)BioMed Research International (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Dae‐Hyun Ko
108 papers receiving 769 citations
Peers
Comparison fields: 5 of 92
- Transplantation 38
- Hematology 117
- Clinical Biochemistry 35
- Immunology 107
- Biochemistry 31
Countries citing papers authored by Dae‐Hyun Ko
This map shows the geographic impact of Dae‐Hyun Ko'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 Dae‐Hyun Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Hyun Ko more than expected).
Fields of papers citing papers by Dae‐Hyun Ko
This network shows the impact of papers produced by Dae‐Hyun Ko. 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 Dae‐Hyun Ko. The network helps show where Dae‐Hyun Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae‐Hyun Ko, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 61 | |
| 2 | 2019 | 44 | |
| 3 | 2017 | 30 | |
| 4 | 2019 | 29 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2010 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2009 | 13 | |
| 19 | 2011 | 12 | |
| 20 | 2023 | 12 |
About Dae‐Hyun Ko
Dae‐Hyun Ko is a scholar working on Hematology, Physiology, Epidemiology, Biochemistry and Immunology, having authored 119 papers that have together received 780 indexed citations. Recurring topics across this work include Blood groups and transfusion (27 papers), Blood transfusion and management (15 papers), Erythrocyte Function and Pathophysiology (11 papers), Renal Transplantation Outcomes and Treatments (10 papers), Clinical Laboratory Practices and Quality Control (7 papers), Hepatitis B Virus Studies (6 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Blood donation and transfusion practices (5 papers). The work is most often cited by research in Transplantation (38 citations), Hematology (117 citations), Clinical Biochemistry (35 citations), Immunology (107 citations) and Biochemistry (31 citations). Dae‐Hyun Ko has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sail Chun, Jungwon Hyun, Sang‐Hyun Hwang, Hyungsuk Kim, Junghan Song, Won‐Ki Min, Heung‐Bum Oh, Woochang Lee, Hyun Soo Kim and Jae‐Seok Kim. Their work appears in journals such as Annals of Laboratory Medicine, Clinica Chimica Acta, American Journal of Clinical Pathology, Scandinavian Journal of Clinical and Laboratory Investigation and BioMed Research International.
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.