Baorui Liu

12.3k total citations · 1 hit paper
379 papers, 8.7k citations indexed

About

Baorui Liu is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Baorui Liu has authored 379 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Oncology, 110 papers in Molecular Biology and 83 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Baorui Liu's work include Cancer Immunotherapy and Biomarkers (71 papers), Immunotherapy and Immune Responses (63 papers) and Gastric Cancer Management and Outcomes (38 papers). Baorui Liu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (71 papers), Immunotherapy and Immune Responses (63 papers) and Gastric Cancer Management and Outcomes (38 papers). Baorui Liu collaborates with scholars based in China, United States and India. Baorui Liu's co-authors include Jia Wei, Lixia Yu, Xiqun Jiang, Rutian Li, Ju Yang, Xiaoping Qian, Jing Yan, Hanqing Qian, Wei Wu and Zhengyun Zou and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Clinical Investigation.

In The Last Decade

Baorui Liu

368 papers receiving 8.6k citations

Hit Papers

Targeting VEGF/VEGFR to Modulate Antitumor Immunity 2018 2026 2020 2023 2018 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
Baorui Liu China 47 3.6k 2.7k 2.0k 1.5k 1.5k 379 8.7k
Yong Wang China 48 3.9k 1.1× 1.5k 0.5× 1.8k 0.9× 1.5k 1.0× 1.7k 1.1× 246 8.6k
Timo L.M. ten Hagen Netherlands 49 3.6k 1.0× 1.8k 0.7× 3.1k 1.5× 1.4k 0.9× 899 0.6× 212 8.8k
Crispin R. Dass Australia 54 5.7k 1.6× 1.7k 0.6× 1.8k 0.9× 570 0.4× 1.6k 1.1× 223 11.5k
Daniel B. Longley United Kingdom 42 7.0k 1.9× 4.7k 1.7× 1.1k 0.6× 1.0k 0.7× 2.1k 1.4× 126 12.1k
Hai Wang China 49 3.8k 1.0× 1.8k 0.7× 2.8k 1.4× 651 0.4× 1.1k 0.7× 249 9.6k
Zhi‐Jun Sun China 59 5.4k 1.5× 3.4k 1.3× 4.3k 2.2× 3.4k 2.2× 1.5k 1.0× 311 12.6k
Arun K. Iyer United States 49 4.4k 1.2× 1.8k 0.7× 3.2k 1.6× 1.1k 0.7× 779 0.5× 131 9.9k
Feng Li China 45 3.1k 0.9× 1.2k 0.4× 2.3k 1.1× 1.3k 0.9× 1.2k 0.8× 167 6.8k
Jer‐Tsong Hsieh United States 63 7.5k 2.1× 3.4k 1.3× 1.1k 0.6× 897 0.6× 2.3k 1.5× 267 12.9k
Patrick Soon‐Shiong United States 37 2.2k 0.6× 2.8k 1.0× 1.2k 0.6× 1.1k 0.7× 957 0.6× 162 7.9k

Countries citing papers authored by Baorui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Baorui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baorui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Baorui Liu. A scholar is included among the top collaborators of Baorui Liu 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 Baorui Liu. Baorui Liu 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
2.
Zhou, Yingling, Ying Chen, Juanjuan Dai, et al.. (2025). An injectable gambogic acid loaded nanocomposite hydrogel enhances antitumor effect by reshaping immunosuppressive tumor microenvironment. Materials Today Bio. 31. 101611–101611. 5 indexed citations
3.
Li, Lin, Yueling Yang, Jie Shao, et al.. (2025). Verteporfin‐Mediated In Situ Nanovaccine Based on Local Conventional‐Dose Hypofractionated Radiotherapy Enhances Antitumor and Immunomodulatory Effect. Advanced Science. 12(20). e2413387–e2413387. 2 indexed citations
4.
Shao, Yiming, et al.. (2024). Combined SET7/9 and CDK4 inhibition act synergistically against osteosarcoma. Biochemical and Biophysical Research Communications. 708. 149808–149808. 4 indexed citations
5.
Chu, Yanhong, Lifeng Wang, Yaohua Ke, et al.. (2024). A multifunctional mesoporous silica drug delivery nanosystem that ameliorates tumor hypoxia and increases radiotherapy efficacy. NPG Asia Materials. 16(1). 5 indexed citations
6.
Yang, Yueling, et al.. (2024). A multi-omics analysis-based model to predict the prognosis of low-grade gliomas. Scientific Reports. 14(1). 9427–9427. 3 indexed citations
7.
Ke, Yaohua, Kai Xin, Yaping Tao, et al.. (2024). A Thermosensitive Bi‐Adjuvant Hydrogel Triggers Epitope Spreading to Promote the Anti‐Tumor Efficacy of Frameshift Neoantigens. Advanced Science. 11(14). e2306889–e2306889. 10 indexed citations
8.
Chang, Xiaofeng, Wu Sun, Qin Liu, et al.. (2024). Design of a single-center, phase II trial to explore the efficacy and safety of ‘R-ISV-RO’ treatment in advanced tumors. Future Oncology. 20(17). 1139–1149. 2 indexed citations
10.
Wang, Xinyue, Fanyan Meng, Xiang Li, et al.. (2023). Nanomodified Switch Induced Precise and Moderate Activation of CAR‐T Cells for Solid Tumors. Advanced Science. 10(12). e2205044–e2205044. 14 indexed citations
11.
Wang, Xinyue, Xiang Li, Lin Li, et al.. (2023). Nanomodified Switch Induced Precise and Moderate Activation of CAR‐T Cells for Solid Tumors (Adv. Sci. 12/2023). Advanced Science. 10(12). 1 indexed citations
12.
Liu, Baorui, et al.. (2023). Recent advances in neoantigen vaccines for treating non‐small cell lung cancer. Thoracic Cancer. 14(34). 3361–3368. 13 indexed citations
13.
Wei, Qing, Ting Xu, Xiaotian Zhang, et al.. (2021). A multicenter study assessing the prevalence of germline genetic alterations in Chinese gastric-cancer patients. Gastroenterology report. 9(4). 339–349. 5 indexed citations
14.
Bei, Yuncheng, Nan Cheng, Ting Chen, et al.. (2020). CDK5 Inhibition Abrogates TNBC Stem‐Cell Property and Enhances Anti‐PD‐1 Therapy. Advanced Science. 7(22). 2001417–2001417. 38 indexed citations
15.
Pan, Xiaoting, Yuanjie Liu, Pan Huang, et al.. (2020). A clinical study of traditional Chinese medicine prolonging the survival of advanced gastric cancer patients by regulating the immunosuppressive cell population. Medicine. 99(16). e19757–e19757. 28 indexed citations
16.
Liu, Baorui. (2012). Effects of the extract of salvia chinensis benth on biological behavior of vascular endothelial cells. 1 indexed citations
17.
Liu, Baorui. (2010). The anti-proliferation and sensitization effect to docetaxel of six traditional Chinese medicine extracts on gastric cancer cell lines. Yixue yanjiusheng xuebao. 1 indexed citations
18.
Liu, Baorui. (2009). Inhibitory effects of Ambrolic Acid on cell proliferation in human gastric carcinoma cell line SGC-7901. 2 indexed citations
19.
Liu, Baorui. (2008). Local therapeutic effect of Tetrandrine and Cisplatin on hepatocellular carcinoma in mice. 1 indexed citations
20.
Liu, Baorui. (2008). The research on composite radix sophora flavescentis injection combined with oxaliplatin inhibiting angiogenesis. Zhongguo aizheng zazhi. 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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