D E Zhang

2.0k total citations
9 papers, 1.7k citations indexed

About

D E Zhang is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, D E Zhang has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Immunology. Recurrent topics in D E Zhang's work include Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related gene regulation (3 papers). D E Zhang is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related gene regulation (3 papers). D E Zhang collaborates with scholars based in United States. D E Zhang's co-authors include Daniel G. Tenen, Christopher J. Hetherington, Wolfgang Hiddemann, Beatrice U. Mueller, Claudia Schoch, Torsten Haferlach, Thomas Pabst, Gerhard Behre, Nari Harakawa and Débora A. González and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

D E Zhang

9 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D E Zhang United States 9 1.2k 942 466 228 151 9 1.7k
Nari Harakawa Japan 12 853 0.7× 834 0.9× 275 0.6× 193 0.8× 125 0.8× 15 1.3k
Shari Meyers United States 19 1.6k 1.4× 1.0k 1.1× 312 0.7× 368 1.6× 187 1.2× 23 2.2k
D Mathieu-Mahul France 20 742 0.6× 369 0.4× 519 1.1× 241 1.1× 99 0.7× 47 1.5k
Patricia M. Rosten Canada 14 915 0.8× 310 0.3× 387 0.8× 247 1.1× 74 0.5× 17 1.4k
P C Nowell United States 18 630 0.5× 284 0.3× 363 0.8× 240 1.1× 110 0.7× 26 1.2k
Juli P. Miller United States 17 645 0.6× 781 0.8× 1.4k 2.9× 352 1.5× 146 1.0× 19 2.4k
Claudia Benz Canada 11 634 0.5× 584 0.6× 757 1.6× 273 1.2× 134 0.9× 14 1.5k
Gregory W. Henkel United States 7 885 0.8× 254 0.3× 778 1.7× 273 1.2× 207 1.4× 8 1.7k
Sidinh Luc United Kingdom 20 1.4k 1.2× 725 0.8× 515 1.1× 154 0.7× 128 0.8× 29 2.1k
Arati Khanna‐Gupta United States 19 802 0.7× 321 0.3× 309 0.7× 181 0.8× 111 0.7× 41 1.2k

Countries citing papers authored by D E Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D E Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of D E Zhang. A scholar is included among the top collaborators of D E Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D E Zhang. D E Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Pabst, Thomas, Beatrice U. Mueller, Nari Harakawa, et al.. (2001). AML1–ETO downregulates the granulocytic differentiation factor C/EBPα in t(8;21) myeloid leukemia. Nature Medicine. 7(4). 444–451. 375 indexed citations
2.
Yergeau, Donald, Christopher J. Hetherington, Qing Wang, et al.. (1997). Embryonic lethality and impairment of haematopoiesis in mice heterozygous for an AML1-ETO fusion gene. Nature Genetics. 15(3). 303–306. 296 indexed citations
3.
Mathieu, Chantal, David F. Claxton, D E Zhang, et al.. (1996). The chimeric genes AML1/MDS1 and AML1/EAP inhibit AML1B activation at the CSF1R promoter, but only AML1/MDS1 has tumor-promoter properties.. Proceedings of the National Academy of Sciences. 93(3). 1044–1048. 41 indexed citations
4.
Rhoades, Kristina, Christopher J. Hetherington, Janet D. Rowley, et al.. (1996). Synergistic up-regulation of the myeloid-specific promoter for the macrophage colony-stimulating factor receptor by AML1 and the t(8;21) fusion protein may contribute to leukemogenesis.. Proceedings of the National Academy of Sciences. 93(21). 11895–11900. 114 indexed citations
5.
Chen, Huimin, Dominique Ray-Gallet, Peng Zhang, et al.. (1995). PU.1 (Spi-1) autoregulates its expression in myeloid cells.. PubMed. 11(8). 1549–60. 179 indexed citations
6.
Zhang, D E, et al.. (1994). Regulation of CD14 expression during monocytic differentiation induced with 1 alpha ,25-dihydroxyvitamin D3.. The Journal of Immunology. 153(7). 3276–3284. 92 indexed citations
8.
Zhang, D E, et al.. (1994). The macrophage transcription factor PU.1 directs tissue-specific expression of the macrophage colony-stimulating factor receptor.. Molecular and Cellular Biology. 14(1). 373–381. 351 indexed citations
9.
Zhang, D E, Peter R. Hoyt, & John Papaconstantinou. (1990). Localization of DNA protein-binding sites in the proximal and distal promoter regions of the mouse alpha-fetoprotein gene.. Journal of Biological Chemistry. 265(6). 3382–3391. 86 indexed citations

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.

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