Muyan Cai

6.3k total citations
121 papers, 3.3k citations indexed

About

Muyan Cai is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Muyan Cai has authored 121 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 46 papers in Molecular Biology and 28 papers in Cancer Research. Recurrent topics in Muyan Cai's work include Cancer Immunotherapy and Biomarkers (15 papers), RNA modifications and cancer (11 papers) and Gastric Cancer Management and Outcomes (10 papers). Muyan Cai is often cited by papers focused on Cancer Immunotherapy and Biomarkers (15 papers), RNA modifications and cancer (11 papers) and Gastric Cancer Management and Outcomes (10 papers). Muyan Cai collaborates with scholars based in China, United States and Hong Kong. Muyan Cai's co-authors include Dan Xie, Pheng‐Ann Heng, Qi Dou, Xin‐Yuan Guan, Hao Chen, Qitao Huang, Xi Wang, Huangjing Lin, Efstratios Tsougenis and Jing‐Ping Yun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Muyan Cai

115 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muyan Cai China 30 1.7k 892 883 547 317 121 3.3k
Gulisa Turashvili Canada 29 1.9k 1.1× 1.4k 1.6× 1.2k 1.4× 519 0.9× 186 0.6× 109 3.9k
Han Suk Ryu South Korea 26 1.4k 0.8× 1.1k 1.2× 1.2k 1.3× 459 0.8× 300 0.9× 141 3.0k
Anneleen Daemen Belgium 33 1.8k 1.1× 1.2k 1.4× 875 1.0× 530 1.0× 316 1.0× 104 4.0k
Wentao Yang China 34 1.4k 0.8× 1.2k 1.3× 1.7k 2.0× 590 1.1× 310 1.0× 173 3.8k
Stephen Yip Canada 30 1.0k 0.6× 655 0.7× 565 0.6× 757 1.4× 212 0.7× 150 2.8k
Edward Gabrielson United States 31 1.6k 0.9× 1.0k 1.1× 1.0k 1.2× 965 1.8× 246 0.8× 59 3.4k
Lisha Qi China 28 1.4k 0.8× 893 1.0× 585 0.7× 415 0.8× 172 0.5× 71 2.4k
Karin A. Oien United Kingdom 31 1.1k 0.6× 834 0.9× 2.1k 2.3× 496 0.9× 561 1.8× 64 3.6k
Xinjuan Fan China 26 828 0.5× 443 0.5× 781 0.9× 297 0.5× 260 0.8× 100 2.1k
Johan Staaf Sweden 40 2.8k 1.6× 1.7k 1.9× 1.5k 1.7× 885 1.6× 476 1.5× 146 5.1k

Countries citing papers authored by Muyan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Muyan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muyan Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Muyan Cai. A scholar is included among the top collaborators of Muyan Cai 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 Muyan Cai. Muyan Cai 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.
Cai, Muyan, et al.. (2025). Clinical Characteristics and Drug Susceptibility Profiling of Multidrug‐Resistant Pseudomonas aeruginosa Infections. International Journal of Clinical Practice. 2025(1). 1 indexed citations
2.
Li, Ming‐De, Muyan Cai, Wenjuan Tong, et al.. (2025). Addressing data heterogeneity in distributed medical imaging with heterosync learning. Nature Communications. 16(1). 9416–9416. 1 indexed citations
3.
Nie, Run‐Cong, Xiaojiang Chen, Chengcai Liang, et al.. (2025). Safety and efficacy of perioperative dual PD-1 and HER2 blockade in HER2-positive gastric cancer. Cell Reports Medicine. 6(6). 102190–102190. 1 indexed citations
4.
Duan, Jin‐Ling, Ruixuan Wang, Xueyi Zheng, et al.. (2024). Deep learning model with pathological knowledge for detection of colorectal neuroendocrine tumor. Cell Reports Medicine. 5(10). 101785–101785. 3 indexed citations
5.
6.
Fu, Rui, et al.. (2024). OA05.05 Pre-Local Consolidative Therapy Circulating Circulating Tumor DNA Defines Molecular Oligometastatic Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 19(10). S18–S19. 1 indexed citations
7.
Xu, Jiming, et al.. (2024). Development and validation of a hierarchical approach for lymphoma classification using immunohistochemical markers. Cancer Medicine. 13(20). e70120–e70120. 1 indexed citations
8.
Liu, Yuedong, et al.. (2024). Association between dietary vitamin B6 intake and constipation: a population-based study. Frontiers in Nutrition. 11. 1483515–1483515. 2 indexed citations
9.
Nie, Run‐Cong, Ya Ding, Shuqiang Yuan, et al.. (2024). Perioperative PD-1 antibody tislelizumab plus chemotherapy for locally advanced gastro-oesophageal junction cancer: A prospective, nonrandomized, open-label, phase II trial.. Journal of Clinical Oncology. 42(16_suppl). 4083–4083. 1 indexed citations
10.
Huang, Guoheng, et al.. (2024). Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification. Journal of Biomedical Informatics. 158. 104728–104728. 11 indexed citations
11.
Ma, Xiaodan, Li Xu, Jingdun Xie, et al.. (2024). Dual specific phosphatase 4 suppresses ferroptosis and enhances sorafenib resistance in hepatocellular carcinoma. Drug Resistance Updates. 73. 101052–101052. 31 indexed citations
12.
Ding, Guangyu, Weimin Tan, Youpei Lin, et al.. (2024). Mining the interpretable prognostic features from pathological image of intrahepatic cholangiocarcinoma using multi-modal deep learning. BMC Medicine. 22(1). 282–282. 9 indexed citations
13.
Fu, Rui, Ye Xiong, Feng Li, et al.. (2023). EP09.04-02 Preoperative Circulating Tumor DNA Status Predicts Pathological Response in Advanced Non-small Cell Lung Cancer. Journal of Thoracic Oncology. 18(11). S599–S599. 1 indexed citations
14.
Cheng, Lianglun, Guoheng Huang, Xiaochen Yuan, et al.. (2023). Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification. IEEE Transactions on Medical Imaging. 43(2). 625–637. 7 indexed citations
15.
Liu, Ximeng, Xu Li, Shuang Wang, et al.. (2023). ATOH8 binds SMAD3 to induce cellular senescence and prevent Ras-driven malignant transformation. Proceedings of the National Academy of Sciences. 120(3). e2208927120–e2208927120. 12 indexed citations
16.
Chen, Jierong, et al.. (2022). Body mass index, as a novel predictor of hepatocellular carcinoma patients treated with Anti-PD-1 immunotherapy. Frontiers in Medicine. 9. 981001–981001. 6 indexed citations
17.
Chen, Jiewei, et al.. (2018). Overexpression of LBH is associated with poor prognosis in human hepatocellular carcinoma. OncoTargets and Therapy. Volume 11. 441–448. 15 indexed citations
18.
Cheng, Jingjing, Dong Qian, Xiaofeng Ding, et al.. (2018). High PGAM5 expression induces chemoresistance by enhancing Bcl-xL-mediated anti-apoptotic signaling and predicts poor prognosis in hepatocellular carcinoma patients. Cell Death and Disease. 9(10). 991–991. 36 indexed citations
19.
20.
Feng, Yanfen, Jia Fu, Shumei Yan, et al.. (2014). [Analysis of mature T-cell and NK-cell lymphoma with CD30 expression based on latest WHO classification].. PubMed. 43(8). 508–11. 2 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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