D E Zhang
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Daniel G. Tenen (8 shared papers)Christopher J. Hetherington (6 shared papers)Claudia Schoch (1 shared paper)Gerhard Behre (1 shared paper)Thomas Pabst (1 shared paper)Wolfgang Hiddemann (1 shared paper)Beatrice U. Mueller (1 shared paper)Torsten Haferlach (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)Nature Medicine (1 paper)Nature Genetics (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
D E Zhang
9 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 72
- Hematology 926
- Immunology 452
- Molecular Biology 1.1k
- Immunology and Allergy 68
- Genetics 115
Countries citing papers authored by D E Zhang
This map shows the geographic impact of D E Zhang'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 D E Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D E Zhang more than expected).
Fields of papers citing papers by D E Zhang
This network shows the impact of papers produced by D E Zhang. 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 D E Zhang. The network helps show where D E Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside D E Zhang, 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 | 2001 | 376 | |
| 2 | 1994 | 351 | |
| 3 | 1997 | 296 | |
| 4 | 1994 | 180 | |
| 5 | PU.1 (Spi-1) autoregulates its expression in myeloid cells. | 1995 | 179 |
| 6 | 1996 | 114 | |
| 7 | 1994 | 92 | |
| 8 | 1990 | 86 | |
| 9 | 1996 | 41 |
About D E Zhang
D E Zhang is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers), Folate and B Vitamins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Protein Degradation and Inhibitors (1 paper), Polyomavirus and related diseases (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Hematology (926 citations), Immunology (452 citations), Molecular Biology (1.1k citations), Immunology and Allergy (68 citations) and Genetics (115 citations). D E Zhang has collaborated with scholars based in United States. Frequent co-authors include Daniel G. Tenen, Christopher J. Hetherington, Claudia Schoch, Gerhard Behre, Thomas Pabst, Wolfgang Hiddemann, Beatrice U. Mueller, Torsten Haferlach, Nari Harakawa and Débora A. González. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Nature Medicine, Nature Genetics and The Journal of Immunology.
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.