Ying Shi

2.0k total citations
78 papers, 1.6k citations indexed

About

Ying Shi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Ying Shi has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 26 papers in Cellular and Molecular Neuroscience and 12 papers in Immunology. Recurrent topics in Ying Shi's work include Receptor Mechanisms and Signaling (22 papers), Neurobiology and Insect Physiology Research (12 papers) and Neuropeptides and Animal Physiology (10 papers). Ying Shi is often cited by papers focused on Receptor Mechanisms and Signaling (22 papers), Neurobiology and Insect Physiology Research (12 papers) and Neuropeptides and Animal Physiology (10 papers). Ying Shi collaborates with scholars based in China, United States and United Kingdom. Ying Shi's co-authors include Naiming Zhou, John A. Gatehouse, V. A. Hilder, Angharad M. R. Gatehouse, K.S. Powell, C. A. Stace, John Draper, D. Boulter, Els J. M. Van Damme and Wannian Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Ying Shi

75 papers receiving 1.5k citations

Peers

Ying Shi

CMN

IMMUN

José C. Novello Brazil

Jian Xu China

Sue H. Kadwell United States

Yaroslav A. Andreev Russia

Laura Sturla Italy

Guus van Zadelhoff Netherlands

O‐Yu Kwon South Korea

Gaiping Wen Germany

Hui Sun China

Jinkyu Lim South Korea

José C. Novello Brazil

Ying Shi

1.3k ×1.4

419 ×1.3

109 ×0.4

CMN

240 ×1.3

165 ×1.0

IMMUN

Citations per year, relative to Ying Shi Ying Shi (= 1×) peers José C. Novello

Countries citing papers authored by Ying Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ying Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Shi. A scholar is included among the top collaborators of Ying Shi 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 Ying Shi. Ying Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Bin, et al.. (2025). Discovery of a novel quinoline RIP1 inhibitor and its treatment of acute liver injury in mice. Bioorganic Chemistry. 159. 108365–108365. 1 indexed citations

Tie, Xin, et al.. (2025). 5-(3-(N-(Carboxymethyl)naphthalene-2-sulfonamido)phenyl)-1-ethyl-1H-pyrrole-2-carboxylic acid as a Keap1–Nrf2 inhibitor for cerebral ischemia/reperfusion injury treatment. RSC Advances. 15(2). 1052–1059.

Li, Lixia, Ying Shi, Zhengde Lu, et al.. (2024). High-mobility group box 1 and its related receptors: potential therapeutic targets for contrast-induced acute kidney injury. International Urology and Nephrology. 56(7). 2291–2299. 5 indexed citations

Yan, Zhibin, et al.. (2024). ELABELA-derived peptide ELA13 attenuates kidney fibrosis by inhibiting the Smad and ERK signaling pathways. Journal of Zhejiang University SCIENCE B. 25(4). 341–353. 1 indexed citations

Shi, Ying, et al.. (2023). Discovery of novel 5-phenylpyrazol receptor interacting protein 1(RIP1) kinase inhibitors as anti-necroptosis agents by combining virtual screening and in vitro and in vivo experimental evaluations. Bioorganic Chemistry. 142. 106964–106964. 1 indexed citations

Zhao, Wenli, et al.. (2023). Scaffold hopping derived novel benzoxazepinone RIPK1 inhibitors as anti-necroptosis agents. Bioorganic & Medicinal Chemistry. 91. 117385–117385. 6 indexed citations

Shi, Ying, et al.. (2023). Incidence and Risk Factors of Falls Among Older People in Nursing Homes: Systematic Review and Meta-Analysis. Journal of the American Medical Directors Association. 24(11). 1708–1717. 52 indexed citations

Zhou, Cong, Ying Shi, Jie Feng, et al.. (2023). Genome-wide identification, structural and evolutionary characteristics, and expression analysis of aquaporin gene family members in Mercenaria mercenaria. Frontiers in Marine Science. 10. 5 indexed citations

Zhao, Wenli, Ying Shi, Jianqiang Yu, et al.. (2023). Diallyl disulfide blocks cigarette carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone-induced lung tumorigenesis via activation of Nrf2 antioxidant system and suppression of NF-κB inflammatory response. SSRN Electronic Journal. 1 indexed citations

10.

Wang, Weiwei, et al.. (2020). Functional characterization of neuropeptide 26RFa receptors GPR103A and GPR103B in zebrafish, Danio rerio. Cellular Signalling. 73. 109677–109677. 1 indexed citations

11.

Shi, Ying, et al.. (2018). Effects of gibberellins and uniconazole on morphology, photosynthetic physiology and yield of soybean. Zhongguo youliao zuowu xuebao. 40(6). 820. 1 indexed citations

12.

Shi, Ying, et al.. (2018). Development and Validation of Molecular Marker for Protein Content in Tetraploid Potato Tuber. ACTA AGRONOMICA SINICA. 44(7). 1095–1102. 1 indexed citations

13.

Shi, Ying, et al.. (2015). Gamma Irradiation as a Phytosanitary Treatment of Bactrocera tau (Diptera: Tephritidae) in Pumpkin Fruits. Journal of Economic Entomology. 108(1). 88–94. 13 indexed citations

14.

Li, Guo, Wenjuan Zhang, Qi Zhou, et al.. (2014). Niacin Activates the PI3K/Akt Cascade via PKC- and EGFR-Transactivation-Dependent Pathways through Hydroxyl-Carboxylic Acid Receptor 2. PLoS ONE. 9(11). e112310–e112310. 14 indexed citations

15.

Yang, Huipeng, Xiaobai He, Jingwen Yang, et al.. (2013). Activation of cAMP-response element-binding protein is positively regulated by PKA and calcium-sensitive calcineurin and negatively by PKC in insect. Insect Biochemistry and Molecular Biology. 43(11). 1028–1036. 27 indexed citations

16.

Shi, Ying, Jiaofei Cao, Liang Zheng, et al.. (2012). Retinoic Acid–related Orphan Receptor-α Is Induced in the Setting of DNA Damage and Promotes Pulmonary Emphysema. American Journal of Respiratory and Critical Care Medicine. 186(5). 412–419. 35 indexed citations

17.

Huang, Guomin, et al.. (2012). Med19 promotes gastric cancer progression and cellular growth. Gene. 504(2). 262–267. 19 indexed citations

18.

Huang, Haishan, Xiaoyan Deng, Xiaobai He, et al.. (2011). Identification of distinct c-terminal domains of the Bombyx adipokinetic hormone receptor that are essential for receptor export, phosphorylation and internalization. Cellular Signalling. 23(9). 1455–1465. 10 indexed citations

19.

Lin, Ding, Lili Li, H. J. Yang, et al.. (2007). Latent membrane protein 1 encoded by Epstein–Barr virus induces telomerase activity via p16^INK4A/Rb/E2F1 and JNK signaling pathways. Journal of Medical Virology. 79(8). 1153–1163. 32 indexed citations

20.

Gatehouse, Angharad M. R., Ying Shi, K.S. Powell, et al.. (1993). Approaches to insect resistance using transgenic plants. Philosophical Transactions of the Royal Society B Biological Sciences. 342(1301). 279–286. 56 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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