Deqiang Sun

2.7k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

Deqiang Sun is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Deqiang Sun has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Cancer Research. Recurrent topics in Deqiang Sun's work include Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (8 papers) and Acute Myeloid Leukemia Research (4 papers). Deqiang Sun is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (8 papers) and Acute Myeloid Leukemia Research (4 papers). Deqiang Sun collaborates with scholars based in United States, China and Australia. Deqiang Sun's co-authors include Mira Jeong, Margaret A. Goodell, Min Luo, Wei Li, Yun Huang, Blanca Rodríguez, Gretchen J. Darlington, Zheng Xia, Katherine Y. King and Alexander Meissner and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Deqiang Sun

33 papers receiving 1.6k citations

Hit Papers

Epigenomic Profiling of Young and Aged HSCs Reveals Conce... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Epigenomic Profiling of Young and Aged HSCs Reveals Concerted Changes during Aging that Reinforce Self-Renewal
    2014 486 citations Deqiang Sun, Min Luo et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deqiang Sun United States 20 1.0k 446 373 276 184 38 1.6k
Christopher Sears United States 8 989 1.0× 430 1.0× 285 0.8× 216 0.8× 145 0.8× 12 1.6k
Akihide Yoshimi Japan 23 994 1.0× 683 1.5× 229 0.6× 244 0.9× 250 1.4× 64 1.6k
Marina R. Carpinelli Australia 15 855 0.8× 484 1.1× 258 0.7× 144 0.5× 265 1.4× 30 1.5k
Jalila Chagraoui Canada 24 1.2k 1.2× 593 1.3× 310 0.8× 174 0.6× 288 1.6× 53 1.8k
Eric M. Bindels Netherlands 23 984 1.0× 517 1.2× 257 0.7× 199 0.7× 275 1.5× 75 1.7k
Liubin Yang United States 13 917 0.9× 513 1.2× 180 0.5× 273 1.0× 163 0.9× 24 1.4k
Kamil R. Kranc United Kingdom 20 1.2k 1.2× 479 1.1× 446 1.2× 388 1.4× 187 1.0× 41 2.1k
Austin E. Gillen United States 21 1.2k 1.1× 490 1.1× 204 0.5× 493 1.8× 130 0.7× 52 1.9k
Alan G. Rosmarin United States 23 985 1.0× 262 0.6× 414 1.1× 195 0.7× 86 0.5× 47 1.7k
Ladina Di Rago Australia 19 601 0.6× 475 1.1× 523 1.4× 143 0.5× 190 1.0× 38 1.4k

Countries citing papers authored by Deqiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Deqiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deqiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Deqiang Sun. A scholar is included among the top collaborators of Deqiang Sun 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 Deqiang Sun. Deqiang Sun 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
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Sun, Deqiang, et al.. (2025). Ecological evolution in a semi-arid lake: insights from subfossil diatoms and geochemical indicators in Hulun Lake. Frontiers in Microbiology. 16. 1550555–1550555.
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Chen, Xing, Liangqing Dong, Lu Chen, et al.. (2022). Epigenome-wide development and validation of a prognostic methylation score in intrahepatic cholangiocarcinoma based on machine learning strategies. HepatoBiliary Surgery and Nutrition. 12(4). 478–494. 1 indexed citations
6.
Lee, Minjung, Jianfang Li, Jia Li, et al.. (2021). Tet2 Inactivation Enhances the Antitumor Activity of Tumor-Infiltrating Lymphocytes. Cancer Research. 81(8). 1965–1976. 32 indexed citations
7.
Nakayama, Naoki, John Y. Lee, Nadine Matthias, et al.. (2020). Human pluripotent stem cell-derived chondroprogenitors for cartilage tissue engineering. Cellular and Molecular Life Sciences. 77(13). 2543–2563. 27 indexed citations
8.
Li, Jia, Yue Yin, Mutian Zhang, et al.. (2020). GsmPlot: a web server to visualize epigenome data in NCBI. BMC Bioinformatics. 21(1). 55–55. 3 indexed citations
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Li, Jia, Sibo Zhao, Minjung Lee, et al.. (2020). Reliable tumor detection by whole-genome methylation sequencing of cell-free DNA in cerebrospinal fluid of pediatric medulloblastoma. Science Advances. 6(42). 56 indexed citations
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Fang, Shaohai, Jia Li, Yang Xiao, et al.. (2019). Tet inactivation disrupts YY1 binding and long-range chromatin interactions during embryonic heart development. Nature Communications. 10(1). 4297–4297. 59 indexed citations
11.
Zeng, Hongxiang, Hailan He, Lei Guo, et al.. (2019). Antibiotic treatment ameliorates Ten-eleven translocation 2 (TET2) loss-of-function associated hematological malignancies. Cancer Letters. 467. 1–8. 29 indexed citations
12.
Zhang, Jixiang, Peng Tan, Lei Guo, et al.. (2018). p53-dependent autophagic degradation of TET2 modulates cancer therapeutic resistance. Oncogene. 38(11). 1905–1919. 20 indexed citations
13.
Guo, Linan, et al.. (2017). Geomorphology of Northern Tianshan and Its Structural Analysis. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
14.
Cai, Yu‐Dong, Guanqun Huang, Lijie Ma, et al.. (2017). Smurf2, an E3 ubiquitin ligase, interacts with PDE4B and attenuates liver fibrosis through miR-132 mediated CTGF inhibition. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1865(2). 297–308. 41 indexed citations
15.
Zang, Shengbing, Jia Li, Haiyan Yang, et al.. (2017). Mutations in 5-methylcytosine oxidase TET2 and RhoA cooperatively disrupt T cell homeostasis. Journal of Clinical Investigation. 127(8). 2998–3012. 69 indexed citations
16.
Matatall, Katie A., Mira Jeong, Deqiang Sun, et al.. (2016). Chronic Infection Depletes Hematopoietic Stem Cells through Stress-Induced Terminal Differentiation. Cell Reports. 17(10). 2584–2595. 194 indexed citations
17.
Luo, Min, Mira Jeong, Deqiang Sun, et al.. (2015). Long Non-Coding RNAs Control Hematopoietic Stem Cell Function. Cell stem cell. 16(4). 426–438. 126 indexed citations
18.
Sun, Deqiang, Min Luo, Mira Jeong, et al.. (2014). Epigenomic Profiling of Young and Aged HSCs Reveals Concerted Changes during Aging that Reinforce Self-Renewal. Cell stem cell. 14(5). 673–688. 486 indexed citations breakdown →
19.
Wang, Xin, et al.. (2013). A high-resolution multi-proxy record of late Cenozoic environment change from central Taklimakan Desert, China. Climate of the past. 9(6). 2731–2739. 14 indexed citations
20.

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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