Diyu Chen

1.5k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Diyu Chen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Diyu Chen has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Diyu Chen's work include Hemoglobinopathies and Related Disorders (6 papers), Cancer-related molecular mechanisms research (5 papers) and CRISPR and Genetic Engineering (4 papers). Diyu Chen is often cited by papers focused on Hemoglobinopathies and Related Disorders (6 papers), Cancer-related molecular mechanisms research (5 papers) and CRISPR and Genetic Engineering (4 papers). Diyu Chen collaborates with scholars based in China, Madagascar and United States. Diyu Chen's co-authors include Yuhong Jiang, Shusen Zheng, Jian Wu, Haiyang Xie, Lin Zhou, Yanpeng Zhang, Longfei Dai, Chuanhui Peng, Yunhao Chen and Beng Yang and has published in prestigious journals such as Cellular and Molecular Life Sciences, Frontiers in Immunology and Molecular Cancer.

In The Last Decade

Diyu Chen

26 papers receiving 1.0k citations

Hit Papers

WTAP facilitates progression of hepatocellular carcinoma ... 2019 2026 2021 2023 2019 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. WTAP facilitates progression of hepatocellular carcinoma via m6A-HuR-dependent epigenetic silencing of ETS1
    2019 479 citations Yunhao Chen, Chuanhui Peng et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diyu Chen China 12 653 341 194 91 90 29 1.0k
Yitao Mao China 18 351 0.5× 238 0.7× 103 0.5× 84 0.9× 110 1.2× 44 764
Minoru Terashima Japan 21 1.1k 1.6× 471 1.4× 36 0.2× 79 0.9× 125 1.4× 40 1.3k
Steven J. Laken United States 16 541 0.8× 262 0.8× 224 1.2× 69 0.8× 670 7.4× 18 1.8k
Felipe J. Núñez United States 18 378 0.6× 134 0.4× 26 0.1× 104 1.1× 159 1.8× 45 888
Sachin Sah United States 10 483 0.7× 208 0.6× 417 2.1× 80 0.9× 97 1.1× 10 937
Jorge Villanúa Spain 15 295 0.5× 186 0.5× 115 0.6× 48 0.5× 81 0.9× 28 739
Keiko Horiuchi Japan 11 790 1.2× 267 0.8× 41 0.2× 22 0.2× 86 1.0× 20 954
Liwei Liao China 11 244 0.4× 112 0.3× 25 0.1× 76 0.8× 120 1.3× 31 454
Darienne R. Myers United States 12 749 1.1× 91 0.3× 94 0.5× 18 0.2× 178 2.0× 15 1.3k
Ayushi Jain India 15 267 0.4× 83 0.2× 22 0.1× 117 1.3× 137 1.5× 55 878

Countries citing papers authored by Diyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Diyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diyu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Diyu Chen. A scholar is included among the top collaborators of Diyu Chen 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 Diyu Chen. Diyu Chen 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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Wang, Zhongju, et al.. (2024). Activation of γ-globin expression by LncRNA-mediated ERF promoter hypermethylation in β-thalassemia. Clinical Epigenetics. 16(1). 12–12. 1 indexed citations
4.
Zeng, Juan, Shiwei Wang, Min Gao, et al.. (2023). PAK2 is essential for chromosome alignment in metaphase I oocytes. Cell Death and Disease. 14(2). 150–150. 7 indexed citations
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Chen, Diyu, et al.. (2022). AUF1 protects against ferroptosis to alleviate sepsis-induced acute lung injury by regulating NRF2 and ATF3. Cellular and Molecular Life Sciences. 79(5). 228–228. 73 indexed citations
8.
Xu, Zhiliang, Zhiyong Peng, Yinghong Yang, et al.. (2022). Induction of Fetal Hemoglobin by Introducing Natural Hereditary Persistence of Fetal Hemoglobin Mutations in the γ-Globin Gene Promoters for Genome Editing Therapies for β-Thalassemia. Frontiers in Genetics. 13. 881937–881937. 7 indexed citations
9.
Tu, Zhenhua, Diyu Chen, Zhiyun Chen, et al.. (2022). Evaluating the Response and Safety of Inactivated COVID-19 Vaccines in Liver Transplant Recipients. Infection and Drug Resistance. Volume 15. 2469–2474. 13 indexed citations
10.
Wu, Tong, et al.. (2022). The Role of NLRP3 Inflammasome Activation Pathway of Hepatic Macrophages in Liver Ischemia–Reperfusion Injury. Frontiers in Immunology. 13. 905423–905423. 21 indexed citations
11.
Xie, Yingjun, Yi Cheng, Lina He, et al.. (2020). Generation of induced pluripotent stem cell GZHMCi001-A and GZHMCi001-B derived from peripheral blood mononuclear cells of epileptic patients with KCNC1 mutation. Stem Cell Research. 47. 101897–101897. 4 indexed citations
12.
Chen, Diyu, et al.. (2020). DNA methylation patterns of β-globin cluster in β-thalassemia patients. Clinical Epigenetics. 12(1). 187–187. 8 indexed citations
13.
Xue, Yanting, Bing Song, Yingjun Xie, et al.. (2020). Generation of induced pluripotent stem cell GZLSL-i001-A derived from urine-derived cells of Hemophilia A patient with Inv22 mutation. Stem Cell Research. 49. 102053–102053. 7 indexed citations
14.
Chen, Yunhao, Chuanhui Peng, Junru Chen, et al.. (2019). WTAP facilitates progression of hepatocellular carcinoma via m6A-HuR-dependent epigenetic silencing of ETS1. Molecular Cancer. 18(1). 127–127. 479 indexed citations breakdown →
15.
Xie, Yingjun, Yuhuan Xie, Ding Wang, et al.. (2019). CRISPR/Cas9 gene correction of HbH-CS thalassemia-induced pluripotent stem cells. Annals of Hematology. 98(12). 2661–2671. 8 indexed citations
16.
Li, Wei‐Guang, Wei Chen, Yi‐Ching Yang, et al.. (2019). Elevated Prevalence of Abnormal Glucose Metabolism and Other Endocrine Disorders in Patients withβ-Thalassemia Major: A Meta-Analysis. BioMed Research International. 2019. 1–13. 35 indexed citations
17.
Chen, Diyu, Linping Cao, Xiaode Feng, et al.. (2019). Spontaneous rupture of solid pseudopapillary tumor of pancreas. Medicine. 98(44). e17554–e17554. 11 indexed citations
18.
He, Bin, Longfei Dai, Xiaoqian Zhang, et al.. (2018). The HDAC Inhibitor Quisinostat (JNJ-26481585) Supresses Hepatocellular Carcinoma alone and Synergistically in Combination with Sorafenib by G0/G1 phase arrest and Apoptosis induction. International Journal of Biological Sciences. 14(13). 1845–1858. 38 indexed citations
19.
Chen, Diyu. (2018). Application of Web Socket in Dynamic Face Recognition System. DEStech Transactions on Computer Science and Engineering.
20.
Chen, Diyu, et al.. (2005). Visual working memory for simple and complex visual stimuli. Psychonomic Bulletin & Review. 12(6). 1127–1133. 226 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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