Deyou Zheng

23.4k total citations · 3 hit papers
199 papers, 10.5k citations indexed

About

Deyou Zheng is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Deyou Zheng has authored 199 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Molecular Biology, 39 papers in Genetics and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Deyou Zheng's work include Epigenetics and DNA Methylation (32 papers), Genomics and Chromatin Dynamics (27 papers) and Congenital heart defects research (21 papers). Deyou Zheng is often cited by papers focused on Epigenetics and DNA Methylation (32 papers), Genomics and Chromatin Dynamics (27 papers) and Congenital heart defects research (21 papers). Deyou Zheng collaborates with scholars based in United States, China and Canada. Deyou Zheng's co-authors include Mingyan Lin, Mark Gerstein, Herbert M. Lachman, Erika Pedrosa, Elaine Fuchs, Xingyi Guo, Shira Rockowitz, Lisa Polak, Phillip M. Galbo and Ling Cai and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Deyou Zheng

193 papers receiving 10.3k citations

Hit Papers

Glucocorticoid Receptor C... 2013 2026 2017 2021 2013 2021 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deyou Zheng United States 54 7.5k 1.8k 1.5k 1.4k 1.0k 199 10.5k
Manfred Gessler Germany 53 8.6k 1.1× 1.1k 0.6× 1.7k 1.1× 1.4k 1.0× 675 0.7× 165 10.8k
S. Steven Potter United States 60 9.2k 1.2× 898 0.5× 3.0k 1.9× 1.3k 0.9× 569 0.6× 166 12.4k
Nicholas D. Hastie United Kingdom 54 9.7k 1.3× 652 0.4× 3.0k 1.9× 1.4k 1.0× 591 0.6× 128 12.1k
Jason D. Buenrostro United States 39 11.4k 1.5× 2.4k 1.3× 1.5k 1.0× 364 0.3× 1.1k 1.0× 67 14.2k
Adriaan B. Houtsmuller Netherlands 56 6.1k 0.8× 745 0.4× 1.2k 0.8× 1.2k 0.8× 1.2k 1.2× 158 8.9k
Caroline S. Hill United Kingdom 56 12.2k 1.6× 1.7k 0.9× 1.1k 0.7× 815 0.6× 3.4k 3.3× 106 15.6k
John K. Heath United Kingdom 51 8.4k 1.1× 1.2k 0.7× 2.2k 1.4× 1.1k 0.7× 1.8k 1.8× 153 13.2k
Andreas Kispert Germany 62 13.4k 1.8× 788 0.4× 4.0k 2.6× 1.5k 1.1× 740 0.7× 178 16.4k
Lu Wen China 43 5.8k 0.8× 1.9k 1.0× 850 0.6× 432 0.3× 855 0.8× 193 8.1k
Sebastian Brandner United Kingdom 61 10.6k 1.4× 1.6k 0.9× 752 0.5× 1.3k 0.9× 685 0.7× 325 17.0k

Countries citing papers authored by Deyou Zheng

Since Specialization
Citations

This map shows the geographic impact of Deyou Zheng'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 Deyou Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyou Zheng more than expected).

Fields of papers citing papers by Deyou Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deyou Zheng. 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 Deyou Zheng. The network helps show where Deyou Zheng may publish in the future.

Co-authorship network of co-authors of Deyou Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Deyou Zheng. A scholar is included among the top collaborators of Deyou Zheng 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 Deyou Zheng. Deyou Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Deyou, Christopher M. Black, Behzad Bidadi, et al.. (2024). Sequential Treatment Use in Clinical Practice for U.S. Patients with Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma (R/M HNSCC). International Journal of Radiation Oncology*Biology*Physics. 118(5). e34–e34.
3.
Lü, Jinhui, Qian Zhao, Danni Li, et al.. (2023). Regulation of ERα-dependent breast cancer metastasis by a miR-29a signaling. Journal of Experimental & Clinical Cancer Research. 42(1). 93–93. 13 indexed citations
5.
Nomaru, Hiroko, David M. Reynolds, Robert Dubin, et al.. (2023). An optimized approach for multiplexing single-nuclear ATAC-seq using oligonucleotide-conjugated antibodies. Epigenetics & Chromatin. 16(1). 14–14. 2 indexed citations
6.
Wang, Ping, et al.. (2023). CHARGE syndrome-associated CHD7 acts at ISL1-regulated enhancers to modulate second heart field gene expression. Cardiovascular Research. 119(11). 2089–2105. 6 indexed citations
7.
Liu, Yang, Pamela Stanley, Amit Verma, et al.. (2022). A glycan-based approach to cell characterization and isolation: Hematopoiesis as a paradigm. The Journal of Experimental Medicine. 219(11). 3 indexed citations
8.
Akhmetzyanova, Ilseyar, Phillip M. Galbo, Anastasia N. Tikhonova, et al.. (2021). Tissue-resident macrophages promote early dissemination of multiple myeloma via IL-6 and TNFα. Blood Advances. 5(18). 3592–3608. 25 indexed citations
9.
Nomaru, Hiroko, Yang Liu, Christopher De Bono, et al.. (2021). Single cell multi-omic analysis identifies a Tbx1-dependent multilineage primed population in murine cardiopharyngeal mesoderm. Nature Communications. 12(1). 6645–6645. 32 indexed citations
10.
Gong, Yubao, Daniel J. Leong, Konrad I. Gruson, et al.. (2020). Advances in the development of gene therapy, noncoding RNA, and exosome‐based treatments for tendinopathy. Annals of the New York Academy of Sciences. 1490(1). 3–12. 27 indexed citations
11.
Ito, Kyoko, Joun Lee, Stephanie Chrysanthou, et al.. (2019). Non-catalytic Roles of Tet2 Are Essential to Regulate Hematopoietic Stem and Progenitor Cell Homeostasis. Cell Reports. 28(10). 2480–2490.e4. 79 indexed citations
12.
Liu, Yang, Pengfei Lu, Yidong Wang, et al.. (2019). Spatiotemporal Gene Coexpression and Regulation in Mouse Cardiomyocytes of Early Cardiac Morphogenesis. Journal of the American Heart Association. 8(15). e012941–e012941. 10 indexed citations
13.
Wang, Ping, Dejian Zhao, Herbert M. Lachman, & Deyou Zheng. (2018). Enriched expression of genes associated with autism spectrum disorders in human inhibitory neurons. Translational Psychiatry. 8(1). 57–92. 42 indexed citations
14.
Cohen, Idan, Dejian Zhao, Víctor Julián Valdés, et al.. (2018). PRC1 Fine-tunes Gene Repression and Activation to Safeguard Skin Development and Stem Cell Specification. Cell stem cell. 22(5). 726–739.e7. 92 indexed citations
15.
Mi, Shijun, Mingyan Lin, Jurriaan Brouwer‐Visser, et al.. (2016). RNA-seq Identification of RACGAP1 as a Metastatic Driver in Uterine Carcinosarcoma. Clinical Cancer Research. 22(18). 4676–4686. 40 indexed citations
16.
Lien, Wen‐Hui, Lisa Polak, Mingyan Lin, et al.. (2014). In vivo transcriptional governance of hair follicle stem cells by canonical Wnt regulators. Nature Cell Biology. 16(2). 179–190. 174 indexed citations
17.
Keyes, Brice E., Jeremy P. Segal, Evan Heller, et al.. (2013). Nfatc1 orchestrates aging in hair follicle stem cells. Proceedings of the National Academy of Sciences. 110(51). E4950–9. 133 indexed citations
18.
Ko, Yi-An, Davoud Mohtat, Masako Suzuki, et al.. (2013). Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development. Genome biology. 14(10). R108–R108. 180 indexed citations
19.
Wontakal, Sandeep N., Xingyi Guo, Cameron Smith, et al.. (2012). A core erythroid transcriptional network is repressed by a master regulator of myelo-lymphoid differentiation. Proceedings of the National Academy of Sciences. 109(10). 3832–3837. 59 indexed citations
20.
Karro, John, Deyou Zheng, Zhaolei Zhang, et al.. (2006). Pseudogene.org: a comprehensive database and comparison platform for pseudogene annotation. Nucleic Acids Research. 35(suppl_1). D55–D60. 137 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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