Dongyin Guan

1.8k total citations
33 papers, 1.3k citations indexed

About

Dongyin Guan is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Dongyin Guan has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Endocrine and Autonomic Systems and 11 papers in Physiology. Recurrent topics in Dongyin Guan's work include Circadian rhythm and melatonin (13 papers), Dietary Effects on Health (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Dongyin Guan is often cited by papers focused on Circadian rhythm and melatonin (13 papers), Dietary Effects on Health (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Dongyin Guan collaborates with scholars based in United States, China and Australia. Dongyin Guan's co-authors include Mitchell A. Lazar, Hung‐Ying Kao, Chunjie Jiang, Wenxiang Hu, Bin Fang, Yuxiang Zhang, Cholsoon Jang, Joshua D. Rabinowitz, Ying Xiong and Yang Xiao and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Dongyin Guan

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongyin Guan United States 20 586 366 358 189 156 33 1.3k
Min‐Dian Li China 19 901 1.5× 463 1.3× 401 1.1× 75 0.4× 92 0.6× 33 1.6k
Cristina Cadenas Germany 20 636 1.1× 136 0.4× 170 0.5× 280 1.5× 195 1.3× 33 1.3k
Srilatha Raghuram United States 8 1.2k 2.0× 507 1.4× 218 0.6× 109 0.6× 244 1.6× 8 1.8k
M. N. Yurova Russia 12 862 1.5× 570 1.6× 233 0.7× 173 0.9× 116 0.7× 32 1.6k
Sonnet S. Davis United States 12 651 1.1× 783 2.1× 153 0.4× 62 0.3× 129 0.8× 16 1.6k
Tatiana S. Piskunova Russia 12 1.2k 2.0× 608 1.7× 229 0.6× 300 1.6× 209 1.3× 17 1.9k
Kristine Griffett United States 15 417 0.7× 122 0.3× 122 0.3× 166 0.9× 148 0.9× 25 926
De‐Long Hao China 19 702 1.2× 302 0.8× 58 0.2× 104 0.6× 221 1.4× 37 1.4k
Heather Towery United States 9 1.6k 2.6× 498 1.4× 247 0.7× 100 0.5× 92 0.6× 10 2.5k
Shawn Jeffries United States 9 1.4k 2.4× 276 0.8× 58 0.2× 134 0.7× 159 1.0× 11 1.9k

Countries citing papers authored by Dongyin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Dongyin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyin Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyin Guan. A scholar is included among the top collaborators of Dongyin Guan 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 Dongyin Guan. Dongyin Guan 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.
Chen, Ying, Panpan Liu, Aniko Sabo, & Dongyin Guan. (2025). Human genetic variation determines 24-hour rhythmic gene expression and disease risk. Nature Communications. 16(1). 4270–4270.
2.
Xiao, Yang, Kirill Batmanov, Wenxiang Hu, et al.. (2023). Hepatocytes demarcated by EphB2 contribute to the progression of nonalcoholic steatohepatitis. Science Translational Medicine. 15(682). eadc9653–eadc9653. 33 indexed citations
3.
Guan, Dongyin, Hosung Bae, Ying Chen, et al.. (2023). Hepatocyte SREBP signaling mediates clock communication within the liver. Journal of Clinical Investigation. 133(8). 15 indexed citations
4.
Mukhi, Dhanunjay, Lingzhi Li, Hongbo Liu, et al.. (2023). ACSS2 gene variants determine kidney disease risk by controlling de novo lipogenesis in kidney tubules. Journal of Clinical Investigation. 134(4). 22 indexed citations
5.
Zhu, Kun, Dongyin Guan, Xiao Yang, et al.. (2023). An intrinsically disordered region controlling condensation of a circadian clock component and rhythmic transcription in the liver. Molecular Cell. 83(19). 3457–3469.e7. 19 indexed citations
6.
Jiang, Chunjie, et al.. (2022). In silico integrative analysis of multi-omics reveals regulatory layers for diurnal gene expression in mouse liver. Frontiers in Endocrinology. 13. 955070–955070. 1 indexed citations
7.
Guan, Dongyin, Ying Xiong, Yang Xiao, et al.. (2020). The hepatocyte clock and feeding control chronophysiology of multiple liver cell types. Science. 369(6509). 1388–1394. 111 indexed citations
8.
Fang, Bin, Dongyin Guan, & Mitchell A. Lazar. (2020). Using GRO-Seq to Measure Circadian Transcription and Discover Circadian Enhancers. Methods in molecular biology. 2130. 127–148. 5 indexed citations
9.
Hu, Wenxiang, Chunjie Jiang, Dongyin Guan, et al.. (2019). Patient Adipose Stem Cell-Derived Adipocytes Reveal Genetic Variation that Predicts Antidiabetic Drug Response. Cell stem cell. 24(2). 299–308.e6. 26 indexed citations
10.
Borck, Patrícia Cristine, Thiago M. Batista, Jean Franciesco Vettorazzi, et al.. (2018). Nighttime light exposure enhances Rev-erbα-targeting microRNAs and contributes to hepatic steatosis. Metabolism. 85. 250–258. 18 indexed citations
11.
Zhao, Xuan, Xiwen Cheng, Dongyin Guan, et al.. (2017). Dual regulation of Stat1 and Stat3 by the tumor suppressor protein PML contributes to interferon α-mediated inhibition of angiogenesis. Journal of Biological Chemistry. 292(24). 10048–10060. 27 indexed citations
12.
Adorno-Cruz, Valery, Golam Kibria, Xia Liu, et al.. (2015). Cancer Stem Cells: Targeting the Roots of Cancer, Seeds of Metastasis, and Sources of Therapy Resistance. Cancer Research. 75(6). 924–929. 200 indexed citations
13.
Guan, Dongyin & Hung‐Ying Kao. (2015). The function, regulation and therapeutic implications of the tumor suppressor protein, PML. Cell & Bioscience. 5(1). 60–60. 77 indexed citations
14.
Guan, Dongyin, et al.. (2014). Deacetylation of the tumor suppressor protein PML regulates hydrogen peroxide-induced cell death. Cell Death and Disease. 5(7). e1340–e1340. 35 indexed citations
15.
16.
Li, Guangfu, et al.. (2011). HSP70 Protein Promotes Survival of C6 and U87 Glioma Cells by Inhibition of ATF5 Degradation. Journal of Biological Chemistry. 286(23). 20251–20259. 53 indexed citations
17.
Yang, Min, Mingcan Yu, Dongyin Guan, et al.. (2010). ASK1–JNK signaling cascade mediates Ad‐ST13‐induced apoptosis in colorectal HCT116 cells. Journal of Cellular Biochemistry. 110(3). 581–588. 7 indexed citations
18.
Guan, Dongyin, et al.. (2009). N‐glycosylation of ATF6β is essential for its proteolytic cleavage and transcriptional repressor function to ATF6α. Journal of Cellular Biochemistry. 108(4). 825–831. 15 indexed citations
19.
Guan, Dongyin, Yingying Xu, Min Yang, et al.. (2009). N-acetyl cysteine and penicillamine induce apoptosis via the ER stress response-signaling pathway. Molecular Carcinogenesis. 49(1). 68–74. 19 indexed citations
20.
Wang, Xiaoming, et al.. (2008). Involvement of the role of Chk1 in lithium‐induced G2/M phase cell cycle arrest in hepatocellular carcinoma cells. Journal of Cellular Biochemistry. 104(4). 1181–1191. 23 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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