Yuannyu Zhang

2.7k total citations
29 papers, 1.5k citations indexed

About

Yuannyu Zhang is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Yuannyu Zhang has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Hematology. Recurrent topics in Yuannyu Zhang's work include Genomics and Chromatin Dynamics (11 papers), Acute Myeloid Leukemia Research (6 papers) and Epigenetics and DNA Methylation (5 papers). Yuannyu Zhang is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Acute Myeloid Leukemia Research (6 papers) and Epigenetics and DNA Methylation (5 papers). Yuannyu Zhang collaborates with scholars based in United States, China and France. Yuannyu Zhang's co-authors include Jian Xu, Xin Liu, Zhen Shao, Hui Cao, Kailong Li, Zhimin Gu, Kathryn E. Dickerson, Stuart H. Orkin, Min Ni and Guo‐Cheng Yuan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yuannyu Zhang

28 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuannyu Zhang United States 17 1.2k 201 185 148 140 29 1.5k
Emery H. Bresnick United States 22 1.5k 1.2× 114 0.6× 276 1.5× 119 0.8× 165 1.2× 26 1.7k
Roberta Fiume Italy 28 1.1k 0.9× 102 0.5× 160 0.9× 130 0.9× 102 0.7× 54 1.4k
Madeleine Carreau Canada 18 1.6k 1.3× 487 2.4× 219 1.2× 154 1.0× 109 0.8× 44 1.9k
Ivana Magnani Italy 20 800 0.7× 183 0.9× 131 0.7× 61 0.4× 45 0.3× 43 1.2k
Edison Liu United States 15 730 0.6× 200 1.0× 52 0.3× 223 1.5× 157 1.1× 25 1.2k
Marco Cirò Italy 10 859 0.7× 225 1.1× 77 0.4× 70 0.5× 83 0.6× 11 1.1k
Jaira F. de Vasconcellos United States 14 549 0.5× 167 0.8× 125 0.7× 64 0.4× 162 1.2× 33 910
Van S. Tompkins United States 18 724 0.6× 160 0.8× 129 0.7× 59 0.4× 116 0.8× 35 1.1k
Aiwen Jin United States 15 2.0k 1.6× 308 1.5× 88 0.5× 68 0.5× 122 0.9× 24 2.3k

Countries citing papers authored by Yuannyu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yuannyu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuannyu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuannyu Zhang. A scholar is included among the top collaborators of Yuannyu 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 Yuannyu Zhang. Yuannyu Zhang 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.
Feng, Ruopeng, Yoon Jung Kim, Michael Lee, et al.. (2025). Silencing of BCL11A by disrupting enhancer-dependent epigenetic insulation. Blood. 147(13). 1470–1484.
2.
Lyu, Junhua, Ningning Liu, Feng Cai, et al.. (2025). CD44-mediated metabolic rewiring is a targetable dependency of IDH-mutant leukemia. Blood. 145(14). 1553–1567. 1 indexed citations
3.
Botten, Giovanni A., Yuannyu Zhang, Yoon Jung Kim, et al.. (2023). Structural Variation Cooperates with Permissive Chromatin to Control Enhancer Hijacking-Mediated Oncogenic Transcription. Blood. 142(4). 336–351. 11 indexed citations
4.
Kim, Yoon Jung, Jing Ji, Jacob T. Sanders, et al.. (2023). Light-activated macromolecular phase separation modulates transcription by reconfiguring chromatin interactions. Science Advances. 9(13). eadg1123–eadg1123. 37 indexed citations
5.
Yao, Huiyu, Yue Ma, Yuannyu Zhang, et al.. (2022). Epo-IGF1R cross talk expands stress-specific progenitors in regenerative erythropoiesis and myeloproliferative neoplasm. Blood. 140(22). 2371–2384. 8 indexed citations
6.
Gu, Zhimin, Gen Zhang, Richard Wynn, et al.. (2022). Metabolon formation regulates branched-chain amino acid oxidation and homeostasis. Nature Metabolism. 4(12). 1775–1791. 22 indexed citations
7.
Shen, Yong, Jeffrey M. Verboon, Yuannyu Zhang, et al.. (2021). A unified model of human hemoglobin switching through single-cell genome editing. Nature Communications. 12(1). 4991–4991. 15 indexed citations
8.
Liu, Yuxuan, Zhimin Gu, Hui Cao, et al.. (2021). Convergence of oncogenic cooperation at single-cell and single-gene levels drives leukemic transformation. Nature Communications. 12(1). 6323–6323. 8 indexed citations
9.
Li, Kailong, Yuannyu Zhang, Xin Liu, et al.. (2020). Noncoding Variants Connect Enhancer Dysregulation with Nuclear Receptor Signaling in Hematopoietic Malignancies. Cancer Discovery. 10(5). 724–745. 30 indexed citations
10.
Liu, Xin, Yong Chen, Yuannyu Zhang, et al.. (2020). Multiplexed capture of spatial configuration and temporal dynamics of locus-specific 3D chromatin by biotinylated dCas9. Genome biology. 21(1). 59–59. 28 indexed citations
11.
Zheng, Ye, Xin Liu, Yuannyu Zhang, et al.. (2020). Discovering How Heme Controls Genome Function Through Heme-omics. Cell Reports. 31(13). 107832–107832. 20 indexed citations
12.
Dai, Chongshan, Qinfeng Li, Herman I. May, et al.. (2020). Lactate Dehydrogenase A Governs Cardiac Hypertrophic Growth in Response to Hemodynamic Stress. Cell Reports. 32(9). 108087–108087. 65 indexed citations
13.
Li, Mushan, Jian Liu, Qian Wang, et al.. (2019). MAP: model-based analysis of proteomic data to detect proteins with significant abundance changes. Cell Discovery. 5(1). 40–40. 14 indexed citations
14.
Tanimura, Nobuyuki, Gary M. Wilson, Judith N. Burstyn, et al.. (2018). GATA/Heme Multi-omics Reveals a Trace Metal-Dependent Cellular Differentiation Mechanism. Developmental Cell. 46(5). 581–594.e4. 31 indexed citations
15.
Huang, Jialiang, Kailong Li, Wenqing Cai, et al.. (2018). Dissecting super-enhancer hierarchy based on chromatin interactions. Nature Communications. 9(1). 943–943. 146 indexed citations
16.
Zhang, Li-Shu, Xunlei Kang, Jianming Lü, et al.. (2018). Installation of a cancer promoting WNT/SIX1 signaling axis by the oncofusion protein MLL-AF9. EBioMedicine. 39. 145–158. 19 indexed citations
17.
Liu, Xin, Yuannyu Zhang, Yong Chen, et al.. (2017). In Situ Capture of Chromatin Interactions by Biotinylated dCas9. Cell. 170(5). 1028–1043.e19. 208 indexed citations
18.
Ansó, Elena, Samuel E. Weinberg, Lauren Diebold, et al.. (2017). The mitochondrial respiratory chain is essential for haematopoietic stem cell function. Nature Cell Biology. 19(6). 614–625. 221 indexed citations
19.
Liu, Xin, Yuannyu Zhang, Min Ni, et al.. (2017). Regulation of mitochondrial biogenesis in erythropoiesis by mTORC1-mediated protein translation. Nature Cell Biology. 19(6). 626–638. 121 indexed citations
20.
Huang, Jialiang, Xin Liu, Dan Li, et al.. (2016). Dynamic Control of Enhancer Repertoires Drives Lineage and Stage-Specific Transcription during Hematopoiesis. Developmental Cell. 36(1). 9–23. 174 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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