Deling Yin

3.0k total citations
63 papers, 2.4k citations indexed

About

Deling Yin is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Deling Yin has authored 63 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Deling Yin's work include Receptor Mechanisms and Signaling (13 papers), Cancer, Stress, Anesthesia, and Immune Response (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Deling Yin is often cited by papers focused on Receptor Mechanisms and Signaling (13 papers), Cancer, Stress, Anesthesia, and Immune Response (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Deling Yin collaborates with scholars based in United States, China and Hong Kong. Deling Yin's co-authors include Yufang Shi, Charles Stuart, R. Allan Mufson, Mary E. A. Howell, Jing Zhao, Gene LeSage, Jun‐Ying Miao, David Tuthill, Yi Zhang and Shangli Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Deling Yin

61 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deling Yin United States 29 1.3k 383 381 326 247 63 2.4k
Lin Sun China 28 833 0.7× 304 0.8× 239 0.6× 202 0.6× 164 0.7× 113 2.2k
Ilona I. Concha Chile 31 1.2k 0.9× 231 0.6× 264 0.7× 319 1.0× 437 1.8× 70 2.8k
Min Jia China 28 1.1k 0.9× 205 0.5× 173 0.5× 238 0.7× 393 1.6× 78 2.5k
Wan Huang China 30 1.2k 0.9× 382 1.0× 267 0.7× 298 0.9× 668 2.7× 95 3.0k
Vasileia Ismini Alexaki Germany 35 1.6k 1.3× 806 2.1× 330 0.9× 294 0.9× 512 2.1× 70 3.8k
Yueming Tang China 24 1.0k 0.8× 237 0.6× 252 0.7× 175 0.5× 514 2.1× 57 2.5k
Yi Shen China 32 1.0k 0.8× 770 2.0× 236 0.6× 260 0.8× 277 1.1× 91 3.1k
Hiroshi Nomoto Japan 33 1.3k 1.0× 212 0.6× 152 0.4× 635 1.9× 337 1.4× 175 3.3k
Shinichi Honda Japan 15 1.6k 1.3× 572 1.5× 349 0.9× 133 0.4× 208 0.8× 29 2.9k

Countries citing papers authored by Deling Yin

Since Specialization
Citations

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

Fields of papers citing papers by Deling Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deling Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Deling Yin. A scholar is included among the top collaborators of Deling Yin 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 Deling Yin. Deling Yin 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.
Zhong, Lingfeng, Shanshan Dai, Fan Yu, et al.. (2025). Cardiomyocyte‐Enriched USP20 Ameliorates Pathological Cardiac Hypertrophy by Targeting STAT3 Deubiquitination. Advanced Science. 12(23). e2416478–e2416478.
2.
Yu, Fan, Guo‐Ping Shi, Lingfeng Zhong, et al.. (2025). Cardiomyocyte lncRNA Cpat maintains cardiac homeostasis and mitochondria function by targeting citrate synthase acetylation. Nature Communications. 16(1). 9022–9022.
3.
Ma, Yeshuo, et al.. (2020). MicroRNA-128-1-5p attenuates myocardial ischemia/reperfusion injury by suppressing Gadd45g-mediated apoptotic signaling. Biochemical and Biophysical Research Communications. 530(1). 314–321. 16 indexed citations
4.
Shi, Yun‐Bo & Deling Yin. (2017). A good sugar, d-mannose, suppresses autoimmune diabetes. Cell & Bioscience. 7(1). 48–48. 15 indexed citations
5.
Liu, Jing, Hui Fu, Fen Chang, et al.. (2016). Sodium orthovanadate suppresses palmitate-induced cardiomyocyte apoptosis by regulation of the JAK2/STAT3 signaling pathway. APOPTOSIS. 21(5). 546–557. 11 indexed citations
6.
Chang, Fen, Jing Liu, Hui Fu, et al.. (2016). GSK-3β promotes PA-induced apoptosis through changing β-arrestin 2 nucleus location in H9c2 cardiomyocytes. APOPTOSIS. 21(9). 1045–1055. 5 indexed citations
7.
Liu, Jing, Fen Chang, Fang Li, et al.. (2015). Palmitate promotes autophagy and apoptosis through ROS-dependent JNK and p38 MAPK. Biochemical and Biophysical Research Communications. 463(3). 262–267. 142 indexed citations
8.
Zhang, Yuhua, et al.. (2014). Targeting of the β6 gene to suppress degradation of ECM via inactivation of the MAPK pathway in breast adenocarcinoma cells. Oncology Reports. 32(5). 1787–1795. 11 indexed citations
9.
Li, Chi Han, Feiyue Xu, Feng Lu, et al.. (2014). Hepatitis B virus X protein promotes hepatocellular carcinoma transformation through interleukin-6 activation of microRNA-21 expression. European Journal of Cancer. 50(15). 2560–2569. 63 indexed citations
10.
Li, Hui, Dan Hu, Huimin Fan, et al.. (2014). β-Arrestin 2 Negatively Regulates Toll-like Receptor 4 (TLR4)-triggered Inflammatory Signaling via Targeting p38 MAPK and Interleukin 10. Journal of Biological Chemistry. 289(33). 23075–23085. 46 indexed citations
11.
Qiu, Shuwei, Deling Yin, Fangcheng Li, et al.. (2013). Suppression of tumorigenicity by MicroRNA-138 through inhibition of EZH2-CDK4/6-pRb-E2F1 signal loop in glioblastoma multiforme. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(10). 1697–1707. 91 indexed citations
12.
Jiang, Yu, Deling Yin, Jing Zhao, et al.. (2012). A specific molecular beacon probe for the detection of human prostate cancer cells. Bioorganic & Medicinal Chemistry Letters. 22(11). 3632–3638. 5 indexed citations
13.
Li, Haiying, et al.. (2010). Targeting Phosphatidylcholine-Specific Phospholipase C for Atherogenesis Therapy. Trends in Cardiovascular Medicine. 20(5). 172–176. 26 indexed citations
14.
Zhang, Yi, Hui Li, Yi Li, et al.. (2010). Essential role of toll-like receptor 2 in morphine-induced microglia activation in mice. Neuroscience Letters. 489(1). 43–47. 67 indexed citations
15.
Xie, Nanchang, Hui Li, Gene LeSage, et al.. (2010). Glycogen synthase kinase-3 and p38 MAPK are required for opioid-induced microglia apoptosis. Neuropharmacology. 59(6). 444–451. 46 indexed citations
16.
Li, Hui, Xiuli Sun, Gene LeSage, et al.. (2010). β‐Arrestin 2 regulates toll‐like receptor 4‐mediated apoptotic signalling through glycogen synthase kinase‐3β. Immunology. 130(4). 556–563. 30 indexed citations
17.
18.
Li, Yi, Xiuli Sun, Yi Zhang, et al.. (2008). Morphine promotes apoptosis via TLR2, and this is negatively regulated by β-arrestin 2. Biochemical and Biophysical Research Communications. 378(4). 857–861. 43 indexed citations
19.
Lv, Xin, Le Su, Deling Yin, et al.. (2007). Knockdown of integrin β4 in primary cultured mouse neurons blocks survival and induces apoptosis by elevating NADPH oxidase activity and reactive oxygen species level. The International Journal of Biochemistry & Cell Biology. 40(4). 689–699. 18 indexed citations
20.
Yin, Deling, Michael L. Woodruff, Ying Zhang, et al.. (2006). Morphine promotes Jurkat cell apoptosis through pro-apoptotic FADD/P53 and anti-apoptotic PI3K/Akt/NF-κB pathways. Journal of Neuroimmunology. 174(1-2). 101–107. 78 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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