Wuju Li

1.5k total citations
39 papers, 982 citations indexed

About

Wuju Li is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Wuju Li has authored 39 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Wuju Li's work include RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (8 papers) and RNA modifications and cancer (7 papers). Wuju Li is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (8 papers) and RNA modifications and cancer (7 papers). Wuju Li collaborates with scholars based in China, United States and Russia. Wuju Li's co-authors include Xiaomin Ying, Eric Boerwinkle, Jin Li, Momiao Xiong, Jinying Zhao, Momiao Xiong, Ligui Wang, Yalin Zhao, Qian Liu and Yuan Cao and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Wuju Li

38 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wuju Li China	21	705	132	110	97	84	39	982
Joseph Mellor United States	15	838 1.2×	167 1.3×	39 0.4×	87 0.9×	89 1.1×	33	1.1k
Lourdes Peña‐Castillo Canada	18	1.4k 1.9×	248 1.9×	125 1.1×	118 1.2×	123 1.5×	45	1.7k
Xiaoxia Lin China	7	714 1.0×	221 1.7×	120 1.1×	114 1.2×	117 1.4×	25	1.1k
Sebastian Meller Germany	20	528 0.7×	111 0.8×	38 0.3×	59 0.6×	272 3.2×	67	1.2k
E. Olof Karlberg Sweden	7	956 1.4×	301 2.3×	57 0.5×	78 0.8×	65 0.8×	7	1.3k
Qiwen Hu United States	18	748 1.1×	78 0.6×	44 0.4×	427 4.4×	65 0.8×	33	1.3k
Shahid Banday United States	10	506 0.7×	101 0.8×	45 0.4×	74 0.8×	125 1.5×	18	868
Cameron Ross MacPherson Denmark	18	834 1.2×	86 0.7×	32 0.3×	302 3.1×	94 1.1×	39	1.8k
Jiarui Li China	15	541 0.8×	180 1.4×	20 0.2×	68 0.7×	93 1.1×	64	937
Paweł P. Łabaj Poland	15	413 0.6×	71 0.5×	28 0.3×	52 0.5×	100 1.2×	38	857

Countries citing papers authored by Wuju Li

Since Specialization

Citations

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

Fields of papers citing papers by Wuju Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wuju Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Sen, Yu Cheng, Wei Han, et al.. (2024). Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering. Cell Research. 34(9). 630–647. 22 indexed citations

Xu, Yaping, Jie Li, Huajian Mao, et al.. (2023). Structural annotation, semi-quantification and toxicity prediction of pyrrolizidine alkaloids from functional food: In silico and molecular networking strategy. Food and Chemical Toxicology. 176. 113738–113738. 9 indexed citations

Cheng, Sen, Jiaqi Wu, Chuzhong Li, et al.. (2019). Predicting the regrowth of clinically non-functioning pituitary adenoma with a statistical model. Journal of Translational Medicine. 17(1). 164–164. 9 indexed citations

Zhang, Jian, Qian Lü, Jiaqi Wu, et al.. (2019). Up-regulation of FAM64A promotes epithelial-to-mesenchymal transition and enhances stemness features in breast cancer cells. Biochemical and Biophysical Research Communications. 513(2). 472–478. 18 indexed citations

Liu, Tao, Kaiyu Zhang, Song Xu, et al.. (2017). Detecting RNA-RNA interactions in E. coli using a modified CLASH method. BMC Genomics. 18(1). 343–343. 16 indexed citations

Wang, Ligui, Guang Yang, Lihua Qi, et al.. (2016). A Novel Small RNA Regulates Tolerance and Virulence in Shigella flexneri by Responding to Acidic Environmental Changes. Frontiers in Cellular and Infection Microbiology. 6. 24–24. 12 indexed citations

Yang, Guang, Ligui Wang, Yong Wang, et al.. (2015). hfq regulates acid tolerance and virulence by responding to acid stress in Shigella flexneri. Research in Microbiology. 166(6). 476–485. 23 indexed citations

Ding, Xinghua, Wuju Li, Yong Liu, et al.. (2014). The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis. PLoS ONE. 9(5). e97479–e97479. 38 indexed citations

Li, Xia, Wei Xia, Wuju Li, et al.. (2012). Identification and Expression of Small Non-Coding RNA, L10-Leader, in Different Growth Phases of Streptococcus mutans. Nucleic Acid Therapeutics. 22(3). 177–186. 21 indexed citations

10.

Ying, Xiaomin, et al.. (2011). sTarPicker: A Method for Efficient Prediction of Bacterial sRNA Targets Based on a Two-Step Model for Hybridization. PLoS ONE. 6(7). e22705–e22705. 44 indexed citations

11.

Mu, Chunhua, Xiaomin Ying, Wuju Li, et al.. (2011). RNAIII activates map expression by forming an RNA-RNA complex in Staphylococcus aureus. FEBS Letters. 585(6). 899–905. 39 indexed citations

12.

Fu, Wenliang, et al.. (2011). A modified visual loop-mediated isothermal amplification method for diagnosis and differentiation of main pathogens from Mycobacterium tuberculosis complex. World Journal of Microbiology and Biotechnology. 28(2). 523–531. 37 indexed citations

13.

Cao, Yuan, Qian Liu, Yalin Zhao, et al.. (2010). sRNATarBase: A comprehensive database of bacterial sRNA targets verified by experiments. RNA. 16(11). 2051–2057. 39 indexed citations

14.

Cao, Yuan, Na Wang, Xiaomin Ying, et al.. (2009). BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry. BMC Medical Informatics and Decision Making. 9(1). 13–13. 8 indexed citations

15.

Cao, Yuan, Yalin Zhao, Xiaomin Ying, et al.. (2009). sRNATarget: a web server for prediction of bacterial sRNA targets. Bioinformation. 3(8). 364–366. 32 indexed citations

16.

Jin, Weibo, Nannan Li, Bin Zhang, et al.. (2008). Identification and verification of microRNA in wheat (Triticum aestivum). Journal of Plant Research. 121(3). 351–355. 74 indexed citations

17.

Li, Wuju. (2007). PREDICTION AND ANALYSIS OF NOVEL miRNA IN Arabidopsis thaliana. 1 indexed citations

18.

Wu, Bingli, Zepeng Du, Xiaomin Ying, et al.. (2007). Construction of mathematical model for high-level expression of foreign genes in pPIC9 vector and its verification. Biochemical and Biophysical Research Communications. 354(2). 498–504. 4 indexed citations

19.

Li, Wuju & Xiaomin Ying. (2006). Mprobe 2.0. PubMed. 5(3). 181–186. 12 indexed citations

20.

Li, Wuju, et al.. (1998). Prediction of RNA secondary structure based on helical regions distribution.. Bioinformatics. 14(8). 700–706. 11 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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