Yi Yin

527 total citations
34 papers, 329 citations indexed

About

Yi Yin is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Yi Yin has authored 34 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Oncology. Recurrent topics in Yi Yin's work include Plant Stress Responses and Tolerance (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Marine and coastal plant biology (4 papers). Yi Yin is often cited by papers focused on Plant Stress Responses and Tolerance (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Marine and coastal plant biology (4 papers). Yi Yin collaborates with scholars based in China and United Kingdom. Yi Yin's co-authors include Qian Liu, Huiqiang Liu, Miao Wu, Xiaolong Huang, Zhengting Yang, Bailin Zhang, Fan Yin, Qing Li, Jiayu Wang and Pin Zhang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Yi Yin

26 papers receiving 325 citations

Peers

Yi Yin
Zachary B. Abrams United States
JiaRui Li China
Moritz Hess Germany
Da Yin China
Naresh Prodduturi United States
Zachary B. Abrams United States
Yi Yin
Citations per year, relative to Yi Yin Yi Yin (= 1×) peers Zachary B. Abrams

Countries citing papers authored by Yi Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Yin. A scholar is included among the top collaborators of Yi 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 Yi Yin. Yi 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.
Yin, Yi, Maozu Guo, Peter E. Lipsky, & Xuan Zhang. (2025). Can we cure rheumatoid arthritis?. Current Opinion in Immunology. 94. 102561–102561.
3.
Yang, Zhengting, et al.. (2025). Transcriptome Analysis of ER Stress-related Genes and Validation of Reference Genes in Gene Expression RT-qPCR for Cyclocarya paliurus. International Journal of Agriculture and Biology. 22(6). 1588–1598.
4.
Zhang, Yi, Qianwen Ye, Xu Guo, et al.. (2025). Comprehensive analytical approach identifies a subtype of CTCF+ tumor-associated neutrophils associated with CRC development and as a biomarker for immunotherapy. International Journal of Biological Sciences. 21(12). 5305–5327.
5.
Yin, Yi, Tao Zhang, & Ziming Wang. (2025). An attention-based mRNA transformer network for accurate prediction of melanoma response to immune checkpoint inhibitors. Scientific Reports. 15(1). 31908–31908.
6.
Yu, Heng, Hang Jiang, Xiaofeng Lu, et al.. (2024). Analysis of risk factors for liver metastasis in patients with gastric cancer and construction of prediction model: A multicenter study. Discover Oncology. 15(1). 363–363.
7.
Chen, Meifeng, Xiaorong Xu, Ming Tang, et al.. (2024). Bicarbonate affects the expression of iron acquisition and translocation genes involved in chlorosis in Medicago lupulina. Acta Physiologiae Plantarum. 46(5). 1 indexed citations
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10.
Yin, Yi, et al.. (2024). CXCL8 may serve as a potential biomarker for predicting the prognosis and immune response in cervical cancer. Discover Oncology. 15(1). 601–601. 1 indexed citations
11.
12.
Yin, Yi, Weiming Zhang, Nenghai Yu, & Kejiang Chen. (2022). Steganalysis of neural networks based on parameter statistical bias. JUSTC. 52(1). 1–1.
13.
Ma, Wentao, Min Lu, Huaming An, & Yi Yin. (2022). Comparative transcriptomic analysis of Rosa sterilis inflorescence branches with different trichome types reveals an R3-MYB transcription factor that negatively regulates trichome formation. Journal of Integrative Agriculture. 21(10). 2926–2942. 5 indexed citations
15.
Yin, Yi, Bingjie Tang, Lei Chen, et al.. (2021). CircRNA Microarray Profiling Reveals hsa_circ_0058493 as a Novel Biomarker for Imatinib-Resistant CML. Frontiers in Pharmacology. 12. 728916–728916. 22 indexed citations
17.
Zhang, Ximin, Jing Tang, Zhijun Shen, et al.. (2019). Expression analysis of calcium-dependent protein kinases (CDPKs) superfamily genes in Medicago lupulina in response to high calcium, carbonate and drought. Plant and Soil. 441(1-2). 219–234. 4 indexed citations
18.
Yu, Anyong, S. Jack Hu, Fei Li, et al.. (2014). Characteristics of a rat model of an open craniocerebral injury at simulated high altitude. Neuroreport. 25(16). 1272–1280. 12 indexed citations
19.
Yin, Yi, Pin Zhang, Binghe Xu, et al.. (2013). Unfavorable pathological complete response rate of neoadjuvant chemotherapy epirubicin plus taxanes for locally advanced triple-negative breast cancer. Journal of Huazhong University of Science and Technology [Medical Sciences]. 33(2). 262–265. 7 indexed citations
20.
Lu, Yanhui, et al.. (2004). Advances in the resistance and relevant genetc mechanism of cotton to Aphis gossypii. 41(4). 291–294. 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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