Ying Yan

1.3k total citations
38 papers, 923 citations indexed

About

Ying Yan is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Ying Yan has authored 38 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Epidemiology and 7 papers in Oncology. Recurrent topics in Ying Yan's work include Wnt/β-catenin signaling in development and cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Bone Metabolism and Diseases (4 papers). Ying Yan is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Bone Metabolism and Diseases (4 papers). Ying Yan collaborates with scholars based in China, United States and United Kingdom. Ying Yan's co-authors include John P. Lydon, Atish Mukherjee, Francesco J. DeMayo, Rodrigo Fernandez‐Valdivia, Di Chen, Selma M. Soyal, Marilène Paquet, Jie Li, Hao Ying and Stephen E. Harris and has published in prestigious journals such as The Journal of Immunology, Diabetes and The FASEB Journal.

In The Last Decade

Ying Yan

34 papers receiving 916 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 Yan China 18 458 238 161 156 123 38 923
Shuqin Liu China 17 549 1.2× 257 1.1× 177 1.1× 79 0.5× 188 1.5× 76 1.2k
Jianfei Chen China 19 869 1.9× 252 1.1× 160 1.0× 162 1.0× 186 1.5× 74 1.5k
Shoshana M. Bartell United States 11 737 1.6× 265 1.1× 87 0.5× 173 1.1× 146 1.2× 12 1.3k
Winston Thomas United States 10 350 0.8× 153 0.6× 179 1.1× 143 0.9× 63 0.5× 15 789
Caixia Sun China 21 492 1.1× 195 0.8× 193 1.2× 72 0.5× 240 2.0× 78 1.1k
Eun‐Jeong Kwon South Korea 15 389 0.8× 213 0.9× 180 1.1× 63 0.4× 76 0.6× 47 796
Kun Dong China 17 360 0.8× 100 0.4× 97 0.6× 136 0.9× 158 1.3× 56 825
Zhaoyang Wang China 18 562 1.2× 262 1.1× 140 0.9× 53 0.3× 140 1.1× 61 1.1k
Emma Smith United Kingdom 11 350 0.8× 111 0.5× 315 2.0× 107 0.7× 174 1.4× 15 911

Countries citing papers authored by Ying Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yan. A scholar is included among the top collaborators of Ying Yan 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 Yan. Ying Yan 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.
Lü, Hui, Yiqun Xia, Ying Yan, et al.. (2025). Panobinostat potentiates adagrasib-induced cell death by triggering autophagy in human non-small cell lung cancer. Cell Death Discovery. 11(1). 360–360.
2.
Zhang, Chengyu, J. H. Zou, Zongmei Zhou, et al.. (2025). Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives. Pharmacological Research. 216. 107742–107742. 6 indexed citations
3.
Yan, Ying, Jun Huang, Yini Chen, et al.. (2025). Mitochondrial-targeted injectable hydrogel for periodontitis therapy via oral immunity and flora regulation. Bioactive Materials. 58. 348–369.
4.
Yan, Ying, Chenyu Qiu, Junqi Wang, et al.. (2025). The glutamyl-prolyl-tRNA synthetase 1 inhibitor halofuginone exerts synergistic antitumor effects with bortezomib in colon cancer cells. Toxicology and Applied Pharmacology. 506. 117606–117606. 1 indexed citations
5.
Yan, Ying, et al.. (2024). Advancements in screening systems for active ingredients in traditional Chinese medicines using ligand fishing technique. TrAC Trends in Analytical Chemistry. 180. 117983–117983. 6 indexed citations
6.
Yan, Ying, et al.. (2024). A Mouse Model for Conditional Expression of Activated β-Catenin in Epidermal Keratinocytes. Transgenic Research. 33(5). 513–525.
7.
Li, Rui, et al.. (2024). Treatment of chronic obstructive pulmonary disease by traditional Chinese medicine Morin monomer regulated by autophagy. Journal of Thoracic Disease. 16(9). 6052–6063. 2 indexed citations
8.
Zhang, Tong, Ying Yan, Feng Gao, et al.. (2024). Integrating network pharmacology and transcriptomics to study the potential mechanism of Jingzhi Niuhuang Jiedu tablet in rats with accumulation of heat in the lungs and stomach. Journal of Ethnopharmacology. 337(Pt 2). 118890–118890. 1 indexed citations
9.
Yan, Ying, et al.. (2023). A CRISPR/Cas9‐engineered mouse carrying a conditional knockout allele for the early growth response‐1 transcription factor. genesis. 61(3-4). e23515–e23515. 1 indexed citations
10.
Wang, Hui, Mei Ma, Yuying Li, et al.. (2021). miR‐183 and miR‐96 orchestrate both glucose and fat utilization in skeletal muscle. EMBO Reports. 22(9). e52247–e52247. 8 indexed citations
11.
Hamburg‐Shields, Emily, John P. Lydon, Ying Yan, et al.. (2021). Skin Fibrosis and Recovery Is Dependent on Wnt Activation via DPP4. Journal of Investigative Dermatology. 142(6). 1597–1606.e9. 25 indexed citations
12.
Sun, Chao, Wei Liu, Zhiqiang Lu, et al.. (2021). Hepatic miR-378 modulates serum cholesterol levels by regulating hepatic bile acid synthesis. Theranostics. 11(9). 4363–4380. 10 indexed citations
13.
Li, Yan, Jinxin Liu, Shengnan Liu, et al.. (2021). Geniposide suppresses thermogenesis via regulating PKA catalytic subunit in adipocytes. Toxicology. 464. 153014–153014. 3 indexed citations
14.
Liu, Jinxin, Yan Li, Chao Sun, et al.. (2020). Geniposide reduces cholesterol accumulation and increases its excretion by regulating the FXR-mediated liver-gut crosstalk of bile acids. Pharmacological Research. 152. 104631–104631. 54 indexed citations
15.
Zhao, Yongmei, Ying Yan, Zhiwei Zhao, Sen Li, & Jie Yin. (2014). The dynamic changes of endoplasmic reticulum stress pathway markers GRP78 and CHOP in the hippocampus of diabetic mice. Brain Research Bulletin. 111. 27–35. 46 indexed citations
17.
Mukherjee, Atish, Selma M. Soyal, Jie Li, et al.. (2010). A mouse transgenic approach to induce β-catenin signaling in a temporally controlled manner. Transgenic Research. 20(4). 827–840. 10 indexed citations
18.
Zhang, Ming, Ying Yan, Dezhi Tang, et al.. (2009). BMP‐2 modulates β‐catenin signaling through stimulation of Lrp5 expression and inhibition of β‐TrCP expression in osteoblasts. Journal of Cellular Biochemistry. 108(4). 896–905. 68 indexed citations
19.
Fernandez‐Valdivia, Rodrigo, Jae‐Wook Jeong, Atish Mukherjee, et al.. (2009). A mouse model to dissect progesterone signaling in the female reproductive tract and mammary gland. genesis. 48(2). 106–113. 54 indexed citations
20.
Young, Nathan M., Natallia Mikhalkevich, Ying Yan, Di Chen, & Wei-ping Zheng. (2005). Differential Regulation of Osteoblast Activity by Th Cell Subsets Mediated by Parathyroid Hormone and IFN-γ. The Journal of Immunology. 175(12). 8287–8295. 28 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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