De-Hui Ku
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Hematopoietic Stem Cell Transplantation 2
- Acute Myeloid Leukemia Research 1
-
- DNA Repair Mechanisms 3
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Nuclear Structure and Function 1
- Co-authors
- Bruno CalabrettaRenato BasergaKenneth E. LipsonSalvatore TravaliPaola MelottiLuigi OttavioMaria Giulia RizzoNicholas C. Nicolaides
- Journals
- The Journal of Experimental Medicine (3 papers)Journal of Biological Chemistry (3 papers)Experimental Cell Research (2 papers)Proceedings of the National Academy of Sciences (1 paper)Somatic Cell and Molecular Genetics (2 papers)
- Partner nations
- United States
In The Last Decade
De-Hui Ku
12 papers receiving 681 citations
Peers
Comparison fields: 5 of 63
- Hematology 121
- Genetics 82
- Molecular Biology 510
- Oncology 159
- Immunology 87
Countries citing papers authored by De-Hui Ku
This map shows the geographic impact of De-Hui Ku'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 De-Hui Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De-Hui Ku more than expected).
Fields of papers citing papers by De-Hui Ku
This network shows the impact of papers produced by De-Hui Ku. 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 De-Hui Ku. The network helps show where De-Hui Ku may publish in the future.
Co-authorship network
The 25 scholars most cited alongside De-Hui Ku, 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 | 1995 | 27 | |
| 2 | 1994 | 72 | |
| 3 | 1994 | 95 | |
| 4 | 1993 | 22 | |
| 5 | 1993 | 110 | |
| 6 | 1991 | 15 | |
| 7 | A new growth-regulated complementary DNA with the sequence of a putative trans-activating factor. | 1991 | 31 |
| 8 | 1990 | 19 | |
| 9 | 1990 | 64 | |
| 10 | 1989 | 35 | |
| 11 | 1989 | 72 | |
| 12 | 1989 | 127 |
About De-Hui Ku
De-Hui Ku is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Genetics, having authored 12 papers that have together received 689 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Virus-based gene therapy research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Genomics and Chromatin Dynamics (2 papers), Nuclear Structure and Function (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (121 citations), Genetics (82 citations), Molecular Biology (510 citations), Oncology (159 citations) and Immunology (87 citations). De-Hui Ku has collaborated with scholars based in United States. Frequent co-authors include Bruno Calabretta, Renato Baserga, Kenneth E. Lipson, Salvatore Travali, Paola Melotti, Luigi Ottavio, Maria Giulia Rizzo, Nicholas C. Nicolaides, Thomas A. Marino and T Skórski. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Biological Chemistry, Experimental Cell Research, Proceedings of the National Academy of Sciences and Somatic Cell and Molecular Genetics.
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.