Ying Ying

2.0k total citations
75 papers, 1.5k citations indexed

About

Ying Ying is a scholar working on Molecular Biology, Oncology and Strategy and Management. According to data from OpenAlex, Ying Ying has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Oncology and 10 papers in Strategy and Management. Recurrent topics in Ying Ying's work include Metabolism, Diabetes, and Cancer (10 papers), Innovation and Knowledge Management (9 papers) and TGF-β signaling in diseases (7 papers). Ying Ying is often cited by papers focused on Metabolism, Diabetes, and Cancer (10 papers), Innovation and Knowledge Management (9 papers) and TGF-β signaling in diseases (7 papers). Ying Ying collaborates with scholars based in China, United States and United Kingdom. Ying Ying's co-authors include Zhijun Luo, Hui Lin, Lingyu Luo, Deqiang Huang, Yang Liu, Wei Jiang, Ruipu Sun, Junrong Zou, Fuli Shi and Huan He and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Communications.

In The Last Decade

Ying Ying

70 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Ying China 22 530 179 174 167 143 75 1.5k
Lian Liu China 21 400 0.8× 345 1.9× 275 1.6× 126 0.8× 64 0.4× 84 1.9k
Wing Lam United States 29 1.3k 2.4× 193 1.1× 167 1.0× 411 2.5× 161 1.1× 80 3.1k
Cinzia Parolini Italy 27 927 1.7× 149 0.8× 196 1.1× 91 0.5× 84 0.6× 59 2.2k
Daniel S. Mytelka United States 9 1.0k 2.0× 59 0.3× 59 0.3× 258 1.5× 71 0.5× 18 2.6k
Dae‐Ki Kim South Korea 29 906 1.7× 89 0.5× 229 1.3× 186 1.1× 45 0.3× 110 2.8k
Wei Chi China 29 816 1.5× 104 0.6× 261 1.5× 76 0.5× 30 0.2× 144 3.4k
Ronald W. Hansen United States 8 1.3k 2.4× 298 1.7× 108 0.6× 223 1.3× 166 1.2× 9 5.2k
Paul D. Crowe United States 29 887 1.7× 152 0.8× 173 1.0× 376 2.3× 61 0.4× 53 3.2k
Aaron L. Schacht United States 7 987 1.9× 64 0.4× 47 0.3× 175 1.0× 65 0.5× 8 2.5k
Lu Li China 20 472 0.9× 78 0.4× 230 1.3× 185 1.1× 264 1.8× 108 1.9k

Countries citing papers authored by Ying Ying

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Ying. A scholar is included among the top collaborators of Ying Ying 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 Ying. Ying Ying 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.
Xu, Yaolin, Ying Ying, Huaxiang Xu, et al.. (2025). Deciphering molecular crosstalk mechanisms between skeletal muscle atrophy and KRAS-mutant pancreatic cancer: a literature review. HepatoBiliary Surgery and Nutrition. 14(1). 78–95. 1 indexed citations
2.
Liu, Yang, et al.. (2024). Artificial intelligence orientation and internationalization speed: A knowledge management perspective. Technological Forecasting and Social Change. 205. 123517–123517. 17 indexed citations
3.
Lu, Mingyang, et al.. (2024). Curcumin suppresses colorectal tumorigenesis through restoring the gut microbiota and metabolites. BMC Cancer. 24(1). 1141–1141. 15 indexed citations
4.
Lin, Yuli, Shaofeng Pu, Jun Wang, et al.. (2024). Pancreatic STAT5 activation promotes KrasG12D-induced and inflammation-induced acinar-to-ductal metaplasia and pancreatic cancer. Gut. 73(11). 1831–1843. 6 indexed citations
5.
Xiong, Zhijuan, et al.. (2023). Identification of a Novel Protein-Based Prognostic Model in Gastric Cancers. Biomedicines. 11(3). 983–983. 1 indexed citations
6.
7.
Ying, Ying & Shanyue Jin. (2023). Digital Transformation and Corporate Sustainability: The Moderating Effect of Ambidextrous Innovation. Systems. 11(7). 344–344. 12 indexed citations
8.
Zhou, Min, Ying Ying, Hui Huang, et al.. (2021). Photoelectrochemical immunoassay of interleukin-6 based on covalent reaction-triggered photocurrent polarity switching of ZnO@fullerenol. Chemical Communications. 57(83). 10903–10906. 17 indexed citations
9.
Jiang, Shanshan, Yunfei Luo, Zhan Zhan, et al.. (2021). AMP-activated protein kinase re-sensitizes A549 to paclitaxel via up-regulating solute carrier organic anion transporter family member 1B3 expression. Cellular Signalling. 91. 110215–110215. 6 indexed citations
10.
Li, Yuanjun, et al.. (2021). Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors. BMC Infectious Diseases. 21(1). 200–200. 58 indexed citations
11.
Lin, Hui, Xiaoping Zeng, Zhenzhen Hu, et al.. (2021). Application of the Inverted Classroom Model for Teaching Pathophysiology to Chinese Undergraduate Medical Students: Usability Study. JMIR Medical Education. 7(2). e24358–e24358. 2 indexed citations
12.
Ying, Ying, et al.. (2020). The Inhibitory Effect of Curcumin on Virus-Induced Cytokine Storm and Its Potential Use in the Associated Severe Pneumonia. Frontiers in Cell and Developmental Biology. 8. 479–479. 116 indexed citations
13.
Ying, Ying, et al.. (2020). New insights into BMP9 signaling in organ fibrosis. European Journal of Pharmacology. 882. 173291–173291. 15 indexed citations
14.
Wang, Guobao, Yan‐Qun Qiu, Ying Ying, et al.. (2019). Simple Grading for Motor Function in Spastic Arm Paralysis: Hua-Shan Grading of Upper Extremity. Journal of Stroke and Cerebrovascular Diseases. 28(8). 2140–2147. 4 indexed citations
15.
Jiang, Shuping, Fuli Shi, Hui Lin, et al.. (2019). Inonotus obliquus polysaccharides induces apoptosis of lung cancer cells and alters energy metabolism via the LKB1/AMPK axis. International Journal of Biological Macromolecules. 151. 1277–1286. 54 indexed citations
16.
Zhu, Na, Ruipu Sun, Wangdi Liao, et al.. (2018). Metformin Inhibits Chemokine Expression Through the AMPK/NF-κB Signaling Pathway. Journal of Interferon & Cytokine Research. 38(9). 363–369. 40 indexed citations
17.
Lin, Hui, Ying Ying, Yuanyuan Wang, et al.. (2017). AMPK downregulates ALK2 via increasing the interaction between Smurf1 and Smad6, leading to inhibition of osteogenic differentiation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(12). 2369–2377. 29 indexed citations
18.
He, Huan, Dan Liu, Hui Lin, et al.. (2016). Phosphatidylethanolamine binding protein 4 (PEBP4) is a secreted protein and has multiple functions. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(7). 1682–1689. 26 indexed citations
19.
Li, Xiuzhen, Shengping Huang, Ying Ying, et al.. (2015). Identification of the interaction of VP1 with GM130 which may implicate in the pathogenesis of CVB3-induced acute pancreatitis. Scientific Reports. 5(1). 13324–13324. 11 indexed citations
20.
Ying, Ying. (2002). A Research on Emotion Tagging of Chinese Understanding by Designing an Experiment System. Zhongwen xinxi xuebao. 1 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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