Pei Shu

2.4k total citations · 1 hit paper
37 papers, 1.4k citations indexed

About

Pei Shu is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pei Shu has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 10 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pei Shu's work include Cancer Immunotherapy and Biomarkers (10 papers), Lung Cancer Treatments and Mutations (5 papers) and CAR-T cell therapy research (5 papers). Pei Shu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Lung Cancer Treatments and Mutations (5 papers) and CAR-T cell therapy research (5 papers). Pei Shu collaborates with scholars based in China, United States and Singapore. Pei Shu's co-authors include Yongsheng Wang, Benxia Zhang, Qizhi Ma, Kai Li, Yue Chen, Dan Li, Xuejin Ou, Houhui Shi, Karen J. Moore and John S. Smutko and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Pei Shu

32 papers receiving 1.4k citations

Hit Papers

Myeloid-derived suppressor cells as immunosuppressive reg... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Shu China 12 559 528 499 236 168 37 1.4k
Huafeng Wei China 27 974 1.7× 672 1.3× 819 1.6× 130 0.6× 135 0.8× 57 2.1k
Matthew R. Farren United States 19 482 0.9× 396 0.8× 625 1.3× 101 0.4× 82 0.5× 34 1.3k
Yingxi Xu China 24 570 1.0× 943 1.8× 879 1.8× 191 0.8× 97 0.6× 77 2.0k
Bence Dániel United States 20 722 1.3× 775 1.5× 359 0.7× 118 0.5× 76 0.5× 41 1.5k
Kyungho Choi South Korea 22 627 1.1× 472 0.9× 498 1.0× 92 0.4× 92 0.5× 54 1.5k
Stefan Siwko United States 26 242 0.4× 1.2k 2.2× 696 1.4× 201 0.9× 104 0.6× 43 1.8k
Shuji Kubo Japan 22 231 0.4× 768 1.5× 260 0.5× 304 1.3× 99 0.6× 68 1.8k
Bhagelu R. Achyut United States 25 705 1.3× 766 1.5× 624 1.3× 84 0.4× 250 1.5× 58 1.9k
Florian Halbritter Austria 18 588 1.1× 1.3k 2.5× 179 0.4× 136 0.6× 129 0.8× 33 2.0k
Caitlin B. Conboy United States 11 215 0.4× 811 1.5× 264 0.5× 184 0.8× 203 1.2× 23 1.3k

Countries citing papers authored by Pei Shu

Since Specialization
Citations

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

Fields of papers citing papers by Pei Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Shu. A scholar is included among the top collaborators of Pei Shu 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 Pei Shu. Pei Shu 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.
Shu, Pei, Xiaoyu Li, Qi Zhou, et al.. (2025). Multicenter phase 1/2 study of onatasertib, a dual TORC1/2 inhibitor, combined with the PD-1 antibody toripalimab in advanced solid tumors. Signal Transduction and Targeted Therapy. 10(1). 198–198.
3.
Shu, Pei, Xin Wang, Jitao Zhou, et al.. (2024). Comparison of Survival Between Different Histological Subtypes in Cervical Cancer Patients: A Retrospective and Propensity Score-matched Analysis. Journal of Cancer. 15(19). 6326–6335. 1 indexed citations
4.
Li, Yuan, Pei Shu, Xiaoyu Li, et al.. (2024). A phase 1/2 study of the TORC1/2 inhibitor onatasertib combined with toripalimab in patients with advanced solid tumors: Cervical cancer cohort.. Journal of Clinical Oncology. 42(16_suppl). 5509–5509. 2 indexed citations
5.
Qin, Diyuan, et al.. (2024). Targeting tumor-infiltrating tregs for improved antitumor responses. Frontiers in Immunology. 15. 1325946–1325946. 23 indexed citations
6.
Shu, Pei, Ning Liu, Xu Luo, et al.. (2024). An immune-related gene prognostic prediction risk model for neoadjuvant chemoradiotherapy in rectal cancer using artificial intelligence. Frontiers in Oncology. 14. 1294440–1294440. 2 indexed citations
8.
Li, Xiaoyu, Pei Shu, Diyuan Qin, et al.. (2023). First-in-human, phase I study of KC1036, a multiple kinase inhibitor, as a single agent in patients with advanced solid tumors.. Journal of Clinical Oncology. 41(16_suppl). e15000–e15000. 1 indexed citations
9.
Gao, Ge, Wei‐Ting Liao, Pei Shu, et al.. (2023). Targeting sphingosine 1-phosphate receptor 3 inhibits T-cell exhaustion and regulates recruitment of proinflammatory macrophages to improve antitumor efficacy of CAR-T cells against solid tumor. Journal for ImmunoTherapy of Cancer. 11(8). e006343–e006343. 17 indexed citations
10.
Ma, Qizhi, Pei Shu, Kexun Zhou, & Yongsheng Wang. (2023). Case Report: Termination of unplanned pregnancy led to rapid deterioration of non-small-cell lung cancer during osimertinib treatment. Frontiers in Oncology. 13. 1073938–1073938.
11.
12.
Zhang, Benxia, Min Hu, Qizhi Ma, et al.. (2023). Optimized CAR-T therapy based on spatiotemporal changes and chemotactic mechanisms of MDSCs induced by hypofractionated radiotherapy. Molecular Therapy. 31(7). 2105–2119. 19 indexed citations
13.
Zhang, Benxia, Xue Li, Tao Yin, et al.. (2022). Neurotoxicity of Tumor Immunotherapy: The Emergence of Clinical Attention. Journal of Oncology. 2022. 1–12. 2 indexed citations
14.
Yang, Xibiao, Xiangbing Deng, Wenjian Meng, et al.. (2021). Predicting Response to Total Neoadjuvant Treatment (TNT) in Locally Advanced Rectal Cancer Based on Multiparametric Magnetic Resonance Imaging: A Retrospective Study. Cancer Management and Research. Volume 13. 5657–5669. 6 indexed citations
15.
Wu, Xiaohua, Xiaoxuan Zhang, Pei Shu, et al.. (2020). A39 Reactive Cutaneous Capillary Endothelial Proliferation Caused by Camrelizumab (SHR-1210) Through Activation of HIF-1α/VEGF Signaling Pathway. Journal of Thoracic Oncology. 15(2). S25–S26. 2 indexed citations
16.
Li, Xiaoyu, Youling Gong, Dan Li, et al.. (2020). Low-Dose Radiation Therapy Promotes Radiation Pneumonitis by Activating NLRP3 Inflammasome. International Journal of Radiation Oncology*Biology*Physics. 107(4). 804–814. 42 indexed citations
17.
Jiang, Li, Fuchun Guo, Xiaoyu Li, et al.. (2019). Continuous targeted kinase inhibitors treatment induces upregulation of PD-L1 in resistant NSCLC. Scientific Reports. 9(1). 3705–3705. 36 indexed citations
19.
Khoury, Jane, et al.. (2008). Eye Position Information on CT Increases the Identification of Acute Ischemic Hypoattenuation. American Journal of Neuroradiology. 29(6). 1144–1146. 15 indexed citations
20.
Rivera, Jaime A., Christopher Rall, Fiona Graeme‐Cook, et al.. (1997). Analysis of K-ras oncogene mutations in chronic pancreatitis with ductal hyperplasia. Surgery. 121(1). 42–49. 64 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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