Su Yao

3.9k total citations · 1 hit paper
122 papers, 2.5k citations indexed

About

Su Yao is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Su Yao has authored 122 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 24 papers in Oncology and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Su Yao's work include Landfill Environmental Impact Studies (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Su Yao is often cited by papers focused on Landfill Environmental Impact Studies (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Su Yao collaborates with scholars based in China, United States and Hong Kong. Su Yao's co-authors include Ruo He, Yuanyuan Liu, Yunxia Zhou, Wen Ni, Aijun Zhou, Liheng Che, Jianming Li, Piao Huang, Jingwen Liu and Zaiyi Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Su Yao

115 papers receiving 2.5k citations

Hit Papers

Long noncoding RNA GAS5 inhibits progression of colorecta... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Yao China 26 1.2k 583 414 339 253 122 2.5k
Xi Zhong China 27 794 0.7× 196 0.3× 254 0.6× 103 0.3× 83 0.3× 121 2.6k
Zhizhong Li China 26 2.5k 2.1× 1.1k 1.9× 630 1.5× 64 0.2× 62 0.2× 93 4.1k
Ping Wu China 28 999 0.9× 276 0.5× 433 1.0× 79 0.2× 79 0.3× 108 2.7k
Han Yu China 29 1.0k 0.9× 418 0.7× 313 0.8× 77 0.2× 53 0.2× 145 2.4k
Tingting Ren China 39 2.6k 2.2× 1.2k 2.1× 812 2.0× 108 0.3× 58 0.2× 134 4.4k
Yongjian Chen China 32 1.0k 0.9× 432 0.7× 445 1.1× 92 0.3× 25 0.1× 137 3.3k
Yamei Chen China 25 799 0.7× 267 0.5× 441 1.1× 79 0.2× 13 0.1× 86 2.3k
Ting Wang China 30 881 0.8× 322 0.6× 217 0.5× 636 1.9× 18 0.1× 214 3.1k
Yasushi Hashimoto Japan 43 361 0.3× 266 0.5× 2.4k 5.9× 83 0.2× 146 0.6× 331 5.5k
Zhigang Yao China 24 665 0.6× 183 0.3× 199 0.5× 95 0.3× 75 0.3× 107 1.7k

Countries citing papers authored by Su Yao

Since Specialization
Citations

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

Fields of papers citing papers by Su Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Su Yao. A scholar is included among the top collaborators of Su Yao 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 Su Yao. Su Yao 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.
Jia, Shihai, et al.. (2025). The role and mechanisms of matrix metalloproteinase-9 in peripheral neuropathic pain. Frontiers in Molecular Neuroscience. 18. 1647316–1647316.
2.
Yao, Su, et al.. (2024). Exploring the sensory acceptance, physicochemical properties, and phenolamide leaching characteristics of rose tea. Food Chemistry. 463(Pt 2). 141164–141164. 4 indexed citations
4.
Liu, Xuedong, Linlin Song, Wenwen Liu, et al.. (2024). Solamargine inhibits gastric cancer progression via inactivation of STAT3/PD‑L1 signaling. Molecular Medicine Reports. 31(2).
5.
Guo, Lizheng, Xiaolei Ze, Chengyu Song, et al.. (2024). Development and validation of a PMA-qPCR method for accurate quantification of viable Lacticaseibacillus paracasei in probiotics. Frontiers in Microbiology. 15. 1456274–1456274. 3 indexed citations
6.
Ye, Huifen, Yi‐Ting Wang, Tong Tong, et al.. (2023). Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence‐based digital pathology analysis. SHILAP Revista de lepidopterología. 1(1). 30–43. 10 indexed citations
7.
Guo, Lizheng, Xinyan Xiao, Yiting Zhang, et al.. (2023). Occurrence of viable but non-culturable (VBNC) pathogenic bacteria in tap water of public places. Frontiers of Environmental Science & Engineering. 18(3). 7 indexed citations
8.
Hu, Feifei, et al.. (2023). The Dynamic Changes in the Composition and Diversity of Vaginal Microbiota in Women of Different Pregnancy Periods. Microorganisms. 11(11). 2686–2686. 6 indexed citations
9.
Yao, Su, et al.. (2023). Establishment and Optimization of an in vitro Regeneration System in Shredded Pineapple. Horticultural Science and Technology. 41(2). 224–235. 2 indexed citations
10.
Yang, Jing, Lingling Hou, Jinfeng Wang, et al.. (2022). Unfavourable intrauterine environment contributes to abnormal gut microbiome and metabolome in twins. Gut. 71(12). 2451–2462. 40 indexed citations
11.
Qi, Liang, Jiayun Zhang, Ying Gao, et al.. (2022). Peptide-RNA complexation-induced fluorescence “turn on” displacement assay for the recognition of small ligands targeting HIV-1 RNA. Journal of Pharmaceutical Analysis. 12(6). 923–928. 8 indexed citations
12.
Han, Chu, Jiatai Lin, Yi Wang, et al.. (2022). Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Analysis. 80. 102487–102487. 68 indexed citations
13.
Chang, Xiangna, Xuefeng Chen, Pin Gong, et al.. (2021). Anti‐oxidant and anti‐fatigue properties of apple pomace polysaccharides by acid or alkali extraction. International Journal of Food Science & Technology. 57(1). 78–91. 11 indexed citations
14.
Xu, Zeyan, Yong Li, Yingyi Wang, et al.. (2021). A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer. Cancer Cell International. 21(1). 585–585. 24 indexed citations
15.
Zhao, Ke, Xiaomei Wu, Zhenhui Li, et al.. (2021). Prognostic value of a modified Immunosocre in patients with stage I−III resectable colon cancer. Chinese Journal of Cancer Research. 33(3). 379–390. 7 indexed citations
16.
Yao, Su, Xueying Wang, Zhen Guo, & Jun Wang. (2020). Aberrant JmjC domain-containing protein 8 (JMJD8) expression promotes activation of AKT and tumor epithelial–mesenchymal transition. Oncogene. 39(41). 6451–6467. 8 indexed citations
17.
Yao, Su & Jun Wang. (2019). JmjC domain-containing protein 8 (JMJD8) represses Ku70/Ku80 expression via attenuating AKT/NF-κB/COX-2 signaling. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(12). 118541–118541. 12 indexed citations
18.
Yao, Su, et al.. (2017). Purification of (S)-2-methyl-1,4,5, 6-tetrahydropyrimidine-4 carboxylic acid from Halophiles. Biomedical Research-tokyo. 28(12). 5511–5518. 1 indexed citations
19.
Lei, Hongxing, Su Yao, Lian Jin, & Yong Duan. (2010). Folding Network of Villin Headpiece Subdomain. Biophysical Journal. 99(10). 3374–3384. 14 indexed citations
20.
Chen, Zifang, et al.. (2006). Research on Assessment of Model-Generated Sounding and Application in Forecasting Strong Convective Weather. Chinese Journal of Atmospheric Sciences. 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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