Dae-Chul Jeong
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
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- Mesenchymal stem cell research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 17
- Hematopoietic Stem Cell Transplantation 12
- Autoimmune and Inflammatory Disorders Research 3
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- T-cell and B-cell Immunology 2
- Co-authors
- Bin Cho (20 shared papers)Sun‐Hee Kim (1 shared paper)Hyun‐Woo Jeong (1 shared paper)Young‐Yun Kong (1 shared paper)Ran Song (1 shared paper)Jae Wook Lee (15 shared papers)Bon‐Kyoung Koo (1 shared paper)Juhee Shin (1 shared paper)
- Journals
- Blood (5 papers)Korean Journal of Pediatrics (5 papers)Journal of Korean Medical Science (2 papers)Cancer Research and Treatment (1 paper)Experimental Hematology and Oncology (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Dae-Chul Jeong
32 papers receiving 355 citations
Peers
Comparison fields: 5 of 63
- Hematology 191
- Genetics 65
- Immunology 92
- Oncology 42
- Clinical Biochemistry 10
Countries citing papers authored by Dae-Chul Jeong
This map shows the geographic impact of Dae-Chul Jeong'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-Chul Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae-Chul Jeong more than expected).
Fields of papers citing papers by Dae-Chul Jeong
This network shows the impact of papers produced by Dae-Chul Jeong. 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-Chul Jeong. The network helps show where Dae-Chul Jeong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae-Chul Jeong, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 135 | |
| 2 | 2013 | 21 | |
| 3 | 2017 | 15 | |
| 4 | 2010 | 15 | |
| 5 | 2015 | 14 | |
| 6 | 2009 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2015 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2007 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2010 | 9 | |
| 13 | 2011 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2012 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2003 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2003 | 5 |
About Dae-Chul Jeong
Dae-Chul Jeong is a scholar working on Hematology, Immunology, Surgery, Genetics and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 358 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Mesenchymal stem cell research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Polyomavirus and related diseases (2 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers), Pediatric Urology and Nephrology Studies (2 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Hematology (191 citations), Genetics (65 citations), Immunology (92 citations), Oncology (42 citations) and Clinical Biochemistry (10 citations). Dae-Chul Jeong has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Bin Cho, Sun‐Hee Kim, Hyun‐Woo Jeong, Young‐Yun Kong, Ran Song, Jae Wook Lee, Bon‐Kyoung Koo, Juhee Shin, Mi-Jeong Yoon and Pil‐Sang Jang. Their work appears in journals such as Blood, Korean Journal of Pediatrics, Journal of Korean Medical Science, Cancer Research and Treatment and Experimental Hematology and Oncology.
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.