Qianpeng Li

3.9k total citations
14 papers, 159 citations indexed

About

Qianpeng Li is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Qianpeng Li has authored 14 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Qianpeng Li's work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (3 papers). Qianpeng Li is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (3 papers). Qianpeng Li collaborates with scholars based in China and United States. Qianpeng Li's co-authors include Li Zhao, Zhang Zhang, Changrui Feng, Lina Ma, Lin Liu, Dong Zou, Shuai Jiang, Jingfa Xiao, Qiang Du and Xufei Teng and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and Sustainability.

In The Last Decade

Qianpeng Li

13 papers receiving 158 citations

Author Peers

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

Author Last Decade Papers Cites
Qianpeng Li 117 98 7 7 6 14 159
Andréa Allaire 116 1.0× 52 0.5× 5 0.7× 6 0.9× 6 143
Changrui Feng 148 1.3× 129 1.3× 3 0.4× 3 0.4× 7 167
Anna Pyrkova 179 1.5× 143 1.5× 3 0.4× 14 2.0× 26 236
Hongbo Nie 251 2.1× 55 0.6× 2 0.3× 6 0.9× 7 291
Marta Pabiś 270 2.3× 46 0.5× 7 1.0× 4 0.6× 9 288
Joseph Lee 125 1.1× 24 0.2× 2 0.3× 4 0.6× 5 151
Rosa Rebollar‐Vega 150 1.3× 122 1.2× 6 0.9× 8 1.1× 19 214
Yapeng Ji 112 1.0× 64 0.7× 2 0.3× 4 0.6× 7 164
Liu Bi 261 2.2× 60 0.6× 2 0.3× 2 0.3× 14 385
Zachary R. Weiss 127 1.1× 96 1.0× 7 1.0× 4 158

Countries citing papers authored by Qianpeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Qianpeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianpeng Li

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

All Works

14 of 14 papers shown
1.
Li, Qianpeng, Yang Zhang, Sicheng Luo, et al.. (2024). Identify Non-mutational p53 Functional Deficiency in Human Cancers. Genomics Proteomics & Bioinformatics. 22(5).
2.
Huang, Yabing, et al.. (2023). ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering. BMC Bioinformatics. 24(1). 417–417. 1 indexed citations
3.
Li, Qianpeng, et al.. (2022). Research on Green Technology Path of Cold-Chain Distribution of Fresh Products Based on Sustainable Development Goals. Sustainability. 14(24). 16659–16659. 9 indexed citations
4.
5.
Li, Banban, et al.. (2022). PTPRC Overexpression Predicts Poor Prognosis and Correlates with Immune Cell Infiltration in Pediatric Acute Myeloid Leukemia. Clinical Laboratory. 68(07/2022). 4 indexed citations
6.
Huang, Yabing, et al.. (2022). Spectral clustering of single cells using Siamese nerual network combined with improved affinity matrix. Briefings in Bioinformatics. 23(3). 3 indexed citations
7.
Liu, Lin, Li Zhao, Chang Liu, et al.. (2021). LncRNAWiki 2.0: a knowledgebase of human long non-coding RNAs with enhanced curation model and database system. Nucleic Acids Research. 50(D1). D190–D195. 23 indexed citations
8.
Liu, Lin, Yang Zhang, Guangyi Niu, et al.. (2021). BrainBase: a curated knowledgebase for brain diseases. Nucleic Acids Research. 50(D1). D1131–D1138. 13 indexed citations
9.
Teng, Xufei, Qianpeng Li, Li Zhao, et al.. (2020). Compositional Variability and Mutation Spectra of Monophyletic SARS-CoV-2 Clades. Genomics Proteomics & Bioinformatics. 18(6). 648–663. 8 indexed citations
10.
Zhao, Li, Lin Liu, Shuai Jiang, et al.. (2020). LncExpDB: an expression database of human long non-coding RNAs. Nucleic Acids Research. 49(D1). D962–D968. 64 indexed citations
11.
Li, Qianpeng, Li Zhao, Changrui Feng, et al.. (2020). Multi-omics annotation of human long non-coding RNAs. Biochemical Society Transactions. 48(4). 1545–1556. 7 indexed citations
12.
Bao, Xingfu, Qilin Liu, Qianpeng Li, et al.. (2019). MicroRNA‐378‐3p/5p represses proliferation and induces apoptosis of oral squamous carcinoma cells via targeting KLK4. Clinical and Experimental Pharmacology and Physiology. 47(4). 713–724. 7 indexed citations
13.
Sun, Shiqun, et al.. (2019). MicroRNA-378-3p/5p suppresses the migration and invasiveness of oral squamous carcinoma cells by inhibiting KLK4 expression. Biochemistry and Cell Biology. 98(2). 154–163. 11 indexed citations
14.

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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