Xiongbin Lu

10.6k total citations · 1 hit paper
112 papers, 7.5k citations indexed

About

Xiongbin Lu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiongbin Lu has authored 112 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 40 papers in Oncology and 33 papers in Cancer Research. Recurrent topics in Xiongbin Lu's work include Cancer-related Molecular Pathways (21 papers), MicroRNA in disease regulation (14 papers) and DNA Repair Mechanisms (13 papers). Xiongbin Lu is often cited by papers focused on Cancer-related Molecular Pathways (21 papers), MicroRNA in disease regulation (14 papers) and DNA Repair Mechanisms (13 papers). Xiongbin Lu collaborates with scholars based in United States, China and Australia. Xiongbin Lu's co-authors include Lawrence A. Donehower, Xiaoming He, Xinna Zhang, Guohui Wan, Hai Wang, Pranay Agarwal, Thuy‐Ai Nguyen, Jianhua Yu, Shuting Zhao and Yunhua Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Xiongbin Lu

110 papers receiving 7.4k citations

Hit Papers

p53 mutant mice that disp... 2002 2026 2010 2018 2002 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiongbin Lu 4.9k 2.1k 1.9k 1.5k 783 112 7.5k
Khalid Shah 4.7k 1.0× 2.2k 1.0× 1.3k 0.7× 1.2k 0.8× 548 0.7× 139 8.5k
Chae‐Ok Yun 5.4k 1.1× 2.9k 1.4× 812 0.4× 1.0k 0.7× 809 1.0× 256 9.6k
Vyomesh Patel 5.7k 1.2× 1.9k 0.9× 1.1k 0.6× 2.2k 1.5× 494 0.6× 111 9.1k
In‐San Kim 4.6k 0.9× 1.0k 0.5× 1.5k 0.8× 1.2k 0.8× 1.1k 1.4× 166 7.7k
Achim Aigner 6.7k 1.4× 1.1k 0.5× 2.0k 1.1× 1.0k 0.7× 1.1k 1.4× 204 9.2k
Monte M. Winslow 5.5k 1.1× 1.8k 0.8× 2.4k 1.3× 1.0k 0.7× 502 0.6× 82 8.7k
Qian Huang 4.1k 0.8× 1.6k 0.7× 1.5k 0.8× 2.4k 1.6× 1.2k 1.5× 144 8.5k
Marcel Garcia 2.7k 0.6× 1.2k 0.5× 1.5k 0.8× 1.1k 0.7× 660 0.8× 146 6.2k
Lei Yao 3.2k 0.6× 1.6k 0.8× 1.1k 0.6× 700 0.5× 801 1.0× 151 6.5k
Ramón Mangues 3.8k 0.8× 2.5k 1.2× 1.0k 0.5× 393 0.3× 578 0.7× 148 6.5k

Countries citing papers authored by Xiongbin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiongbin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongbin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongbin Lu. A scholar is included among the top collaborators of Xiongbin Lu 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 Xiongbin Lu. Xiongbin Lu 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.
Li, Yujing, Naresh Singh, Chuanpeng Dong, et al.. (2025). Reprogramming intratumoral T reg cells by morpholino-mediated splicing of FOXP3 for cancer immunotherapy. Science Immunology. 10(110). eadr9933–eadr9933. 1 indexed citations
2.
Liu, Chuwei, Peipei Wang, Yuyan Zheng, et al.. (2025). HNRNPA2B1 Orchestrates Immune Evasion in Colorectal Cancer by Rewiring Tumor–Immune Cell Interactions and Suppressing CD8+ T-cell Infiltration. Cancer Immunology Research. 14(1). 60–76.
3.
Zhou, Zhuolong, Kevin Van der Jeught, Yujing Li, et al.. (2023). A T Cell‐Engaging Tumor Organoid Platform for Pancreatic Cancer Immunotherapy. Advanced Science. 10(23). e2300548–e2300548. 35 indexed citations
4.
Han, Lei, Shiyong Wu, Sheng Liu, et al.. (2023). Lipid droplet-associated lncRNA LIPTER preserves cardiac lipid metabolism. Nature Cell Biology. 25(7). 1033–1046. 38 indexed citations
5.
Lu, Xiaoyu, Wennan Chang, Changlin Wan, et al.. (2022). PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning. PLoS Computational Biology. 18(3). e1009956–e1009956. 9 indexed citations
6.
Kwon, Juntae, Haiyang Wang, Kerrie B. Bouker, et al.. (2022). USP13 promotes development and metastasis of high-grade serous ovarian carcinoma in a novel mouse model. Oncogene. 41(13). 1974–1985. 12 indexed citations
7.
Ao, Zheng, Hongwei Cai, Zhuhao Wu, et al.. (2022). Microfluidics guided by deep learning for cancer immunotherapy screening. Proceedings of the National Academy of Sciences. 119(46). e2214569119–e2214569119. 48 indexed citations
8.
Wang, Hai, Yutong Liang, Yue Yin, et al.. (2021). Carbon nano-onion-mediated dual targeting of P-selectin and P-glycoprotein to overcome cancer drug resistance. Nature Communications. 12(1). 312–312. 75 indexed citations
9.
Zhou, Zhuolong, Kevin Van der Jeught, Yuanzhang Fang, et al.. (2021). An organoid-based screen for epigenetic inhibitors that stimulate antigen presentation and potentiate T-cell-mediated cytotoxicity. Nature Biomedical Engineering. 5(11). 1320–1335. 78 indexed citations
10.
Dong, Chuanpeng, Jill L. Reiter, Christina Y. Yu, et al.. (2021). Intron retention-induced neoantigen load correlates with unfavorable prognosis in multiple myeloma. Oncogene. 40(42). 6130–6138. 25 indexed citations
11.
Li, Yujing, Yifan Sun, Michael Kulke, et al.. (2021). Targeted immunotherapy for HER2-low breast cancer with 17p loss. Science Translational Medicine. 13(580). 26 indexed citations
12.
Jeught, Kevin Van der, Yifan Sun, Yuanzhang Fang, et al.. (2020). ST2 as checkpoint target for colorectal cancer immunotherapy. JCI Insight. 5(9). 37 indexed citations
13.
Lu, Xiaoyu, Xiaoyu Lu, Wennan Chang, et al.. (2020). SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data. Briefings in Bioinformatics. 22(4). 4 indexed citations
14.
Xu, Jiangsheng, Yunhua Liu, Yujing Li, et al.. (2019). Precise targeting of POLR2A as a therapeutic strategy for human triple negative breast cancer. PMC. 1 indexed citations
15.
Jeught, Kevin Van der, Hanchen Xu, Yujing Li, Xiongbin Lu, & Guang Ji. (2018). Drug resistance and new therapies in colorectal cancer. PMC. 6 indexed citations
16.
Yaglom, Julia A., Yongmei Wang, Amy Li, et al.. (2018). Cancer cell responses to Hsp70 inhibitor JG-98: Comparison with Hsp90 inhibitors and finding synergistic drug combinations. Scientific Reports. 8(1). 3010–3010. 49 indexed citations
17.
Ye, Xiangcang, Fan Fan, Rajat Bhattacharya, et al.. (2015). VEGFR-1 Pseudogene Expression and Regulatory Function in Human Colorectal Cancer Cells. Molecular Cancer Research. 13(9). 1274–1282. 25 indexed citations
18.
Liu, Yunhua, Xiaoxiao Hu, Cecil Han, et al.. (2015). Targeting tumor suppressor genes for cancer therapy. BioEssays. 37(12). 1277–1286. 59 indexed citations
19.
Zhang, Xinna, Guohui Wan, Sizolwenkosi Mlotshwa, et al.. (2010). Oncogenic Wip1 Phosphatase Is Inhibited by miR-16 in the DNA Damage Signaling Pathway. Cancer Research. 70(18). 7176–7186. 131 indexed citations
20.
Zhang, Xinna, Lin Lin, Huarong Guo, et al.. (2009). Phosphorylation and Degradation of MdmX Is Inhibited by Wip1 Phosphatase in the DNA Damage Response. Cancer Research. 69(20). 7960–7968. 56 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026