Weijun Su

1.6k total citations
36 papers, 1.3k citations indexed

About

Weijun Su is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Weijun Su has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Weijun Su's work include CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer Cells and Metastasis (5 papers). Weijun Su is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer Cells and Metastasis (5 papers). Weijun Su collaborates with scholars based in China, United States and Canada. Weijun Su's co-authors include Yuanyuan Liu, Bo Li, Han Chu, Rongji Dai, Nafissa Ismail, Zongjin Li, Qinjie Wu, Changyang Gong, Zhongchao Han and Linjiang Song and has published in prestigious journals such as ACS Nano, Biomaterials and Molecular and Cellular Biology.

In The Last Decade

Weijun Su

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weijun Su China	16	815	305	263	196	179	36	1.3k
Nikolaos A. Afratis Greece	16	1.0k 1.3×	396 1.3×	367 1.4×	164 0.8×	220 1.2×	27	2.1k
Sylvie Brassart‐Pasco France	25	758 0.9×	607 2.0×	389 1.5×	101 0.5×	229 1.3×	64	1.8k
Fei Lu China	25	1.5k 1.8×	496 1.6×	334 1.3×	118 0.6×	116 0.6×	96	2.2k
Wiktoria Maria Suchorska Poland	23	829 1.0×	478 1.6×	386 1.5×	243 1.2×	105 0.6×	112	1.8k
Yue Ming China	21	1.1k 1.3×	509 1.7×	252 1.0×	134 0.7×	81 0.5×	81	1.6k
Xiaojing Xu China	22	572 0.7×	282 0.9×	428 1.6×	130 0.7×	133 0.7×	76	1.3k
Hao Hu China	29	993 1.2×	450 1.5×	279 1.1×	175 0.9×	100 0.6×	70	2.1k
Yao Yuan China	20	855 1.0×	376 1.2×	500 1.9×	185 0.9×	68 0.4×	72	1.6k
Yuli Wang China	22	1.0k 1.3×	277 0.9×	358 1.4×	101 0.5×	121 0.7×	51	1.4k

Countries citing papers authored by Weijun Su

Since Specialization

Citations

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

Fields of papers citing papers by Weijun Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Weijun Su. A scholar is included among the top collaborators of Weijun Su 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 Weijun Su. Weijun Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Kaili, Yiping Wang, S. S. Jiang, et al.. (2025). dsDAP: An efficient method for high-abundance DNA-encoded library construction in mammalian cells. International Journal of Biological Macromolecules. 298. 140089–140089. 1 indexed citations

Su, Weijun, et al.. (2022). Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3563–3567. 2 indexed citations

Wu, Dan, Hua Tan, Weijun Su, et al.. (2021). MZF1 mediates oncogene-induced senescence by promoting the transcription of p16INK4A. Oncogene. 41(3). 414–426. 15 indexed citations

Wang, Yi, et al.. (2021). Construction of Synthetic Nanobody Library in Mammalian Cells by dsDNA‐Based Strategies**. ChemBioChem. 22(20). 2957–2965. 12 indexed citations

Chu, Han, Yuanyuan Liu, Rongji Dai, et al.. (2020). Ferroptosis and Its Potential Role in Human Diseases. Frontiers in Pharmacology. 11. 239–239. 214 indexed citations

Li, Shuai, Weijun Su, & Chunze Zhang. (2019). Linear double‐stranded DNA s as innovative biological parts to implement genetic circuits in mammalian cells. FEBS Journal. 286(12). 2341–2354. 6 indexed citations

Gao, Wenjuan, Rongrong Wang, Yongjun Piao, et al.. (2019). CD137 promotes bone metastasis of breast cancer by enhancing the migration and osteoclast differentiation of monocytes/macrophages. Theranostics. 9(10). 2950–2966. 80 indexed citations

Su, Weijun, Lixin Hong, Xin Xu, et al.. (2018). miR-30 disrupts senescence and promotes cancer by targeting both p16INK4A and DNA damage pathways. Oncogene. 37(42). 5618–5632. 43 indexed citations

Gao, Ruifang, Yanhua Liu, Dan Li, et al.. (2018). PFKFB4 Promotes Breast Cancer Metastasis via Induction of Hyaluronan Production in a p38-Dependent Manner. Cellular Physiology and Biochemistry. 50(6). 2108–2123. 23 indexed citations

10.

Li, Ling, Linjiang Song, Xiaowei Liu, et al.. (2016). Artificial Virus Delivers CRISPR-Cas9 System for Genome Editing of Cells in Mice. ACS Nano. 11(1). 95–111. 207 indexed citations

11.

Wang, Lina, Weijun Su, Wei Du, et al.. (2015). Gene and MicroRNA Profiling of Human Induced Pluripotent Stem Cell-Derived Endothelial Cells. Stem Cell Reviews and Reports. 11(2). 219–227. 28 indexed citations

12.

Deng, Senyi, Qinjie Wu, Yuwei Zhao, et al.. (2015). Biodegradable polymeric micelle-encapsulated doxorubicin suppresses tumor metastasis by killing circulating tumor cells. Nanoscale. 7(12). 5270–5280. 22 indexed citations

13.

Leng, Liang, Yuebing Wang, Ningning He, et al.. (2014). Molecular imaging for assessment of mesenchymal stem cells mediated breast cancer therapy. Biomaterials. 35(19). 5162–5170. 72 indexed citations

14.

Su, Weijun, Liang Leng, Zhongchao Han, Zuo‐Xiang He, & Zongjin Li. (2013). Bioluminescence Imaging of Human Embryonic Stem Cell-Derived Endothelial Cells for Treatment of Myocardial Infarction. Methods in molecular biology. 1052. 203–215. 8 indexed citations

15.

Lv, Dan, et al.. (2013). Induction of p38δ Expression Plays an Essential Role in Oncogenic ras-Induced Senescence. Molecular and Cellular Biology. 33(19). 3780–3794. 21 indexed citations

16.

Feng, Guowei, Duo Mao, Yongzhe Che, et al.. (2013). The Phenotypic Fate of Bone Marrow-Derived Stem Cells in Acute Kidney Injury. Cellular Physiology and Biochemistry. 32(5). 1517–1527. 11 indexed citations

17.

Wang, Lina, Weijun Su, Ze Liu, et al.. (2012). CD44 antibody-targeted liposomal nanoparticles for molecular imaging and therapy of hepatocellular carcinoma. Biomaterials. 33(20). 5107–5114. 164 indexed citations

18.

Zhou, Manqian, Lina Wang, Weijun Su, et al.. (2012). Assessment of Therapeutic Efficacy of Liposomal Nanoparticles Mediated Gene Delivery by Molecular Imaging for Cancer Therapy. Journal of Biomedical Nanotechnology. 8(5). 742–750. 15 indexed citations

19.

Wang, Lina, Si Chen, Mingna Zhang, et al.. (2012). Legumain: A biomarker for diagnosis and prognosis of human ovarian cancer. Journal of Cellular Biochemistry. 113(8). 2679–2686. 91 indexed citations

20.

Su, Weijun, Manqian Zhou, Yizhou Zheng, et al.. (2010). Bioluminescence reporter gene imaging characterize human embryonic stem cell‐derived teratoma formation. Journal of Cellular Biochemistry. 112(3). 840–848. 23 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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