Shipeng Li

533 total citations
24 papers, 382 citations indexed

About

Shipeng Li is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Shipeng Li has authored 24 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Shipeng Li's work include Plant Molecular Biology Research (9 papers), Chromosomal and Genetic Variations (4 papers) and Plant Stress Responses and Tolerance (3 papers). Shipeng Li is often cited by papers focused on Plant Molecular Biology Research (9 papers), Chromosomal and Genetic Variations (4 papers) and Plant Stress Responses and Tolerance (3 papers). Shipeng Li collaborates with scholars based in China, United States and Sweden. Shipeng Li's co-authors include Shengzhong Su, Xiaohui Shan, Hongkui Liu, Yaping Yuan, Peiran Liao, Yun Zheng, Guang Yang, Xiaoyu Wang, Ying Wu and Shuchao Ren and has published in prestigious journals such as Gene, Carcinogenesis and Plant Molecular Biology.

In The Last Decade

Shipeng Li

21 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shipeng Li China 11 232 182 47 35 24 24 382
Ahmad Tahmasebi Iran 14 295 1.3× 247 1.4× 45 1.0× 44 1.3× 24 1.0× 51 557
Bernardetta Ledda Italy 6 140 0.6× 185 1.0× 26 0.6× 36 1.0× 7 0.3× 8 361
Chunlai Zhang China 13 222 1.0× 351 1.9× 14 0.3× 27 0.8× 26 1.1× 29 489
Ga‐Hee Shin South Korea 8 247 1.1× 195 1.1× 55 1.2× 19 0.5× 18 0.8× 19 402
Qiying Zhou China 11 255 1.1× 266 1.5× 45 1.0× 83 2.4× 18 0.8× 24 492
Alfredo F. Galvez United States 11 268 1.2× 439 2.4× 52 1.1× 11 0.3× 18 0.8× 13 682
You Wu China 11 92 0.4× 136 0.7× 22 0.5× 18 0.5× 19 0.8× 28 290

Countries citing papers authored by Shipeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Shipeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shipeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shipeng Li. A scholar is included among the top collaborators of Shipeng 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 Shipeng Li. Shipeng Li 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.
2.
Li, Shipeng, Xiao‐Jia Zhang, Shuwei Yu, et al.. (2025). Integrated Transcriptomic and Metabolomic Analyses Shed Light on the Regulation of Aromatic Amino Acid Biosynthesis in a Novel Albino Tea (Camellia sinensis) Mutation. Current Issues in Molecular Biology. 47(8). 644–644.
3.
Liu, Jing, Zilong Tan, Mei Ma, et al.. (2024). The IDD Transcription Factors: Their Functions in Plant Development and Environmental Response. Phyton. 93(1). 63–79. 2 indexed citations
4.
Hao, Ming, et al.. (2024). Identification of Low Expression of GSN as a Key Prognosis Gene in Patients with Gastric Carcinoma. Russian Journal of Genetics. 60(2). 220–230.
5.
Jiang, Yuan, Shengzhong Su, Hao Chen, et al.. (2023). Transcriptome analysis of drought‐responsive and drought‐tolerant mechanisms in maize leaves under drought stress. Physiologia Plantarum. 175(2). e13875–e13875. 18 indexed citations
6.
Li, Shipeng, et al.. (2022). Relationship between Intestinal Microflora and Hepatocellular Cancer Based on Gut‐Liver Axis Theory. Contrast Media & Molecular Imaging. 2022(1). 6533628–6533628. 13 indexed citations
7.
Li, Yanpeng, Haodong Cui, Shipeng Li, et al.. (2022). Kaempferol modulates IFN-γ induced JAK-STAT signaling pathway and ameliorates imiquimod-induced psoriasis-like skin lesions. International Immunopharmacology. 114. 109585–109585. 35 indexed citations
8.
Liu, Dahai, Li Liu, Kui Duan, et al.. (2021). Transcriptional dynamics of transposable elements when converting fibroblast cells of Macaca mulatta to neuroepithelial stem cells. BMC Genomics. 22(S3). 405–405. 2 indexed citations
9.
Li, Shipeng, Fei Wu, Zihui Zhou, et al.. (2020). Genotypes and haplotype combination of ACSL3 gene sequence variants is associated with growth traits in Dezhou donkey. Gene. 743. 144600–144600. 13 indexed citations
10.
Su, Shengzhong, Ying Wu, Shipeng Li, et al.. (2020). Transcriptomic analysis reveals somatic embryogenesis-associated signaling pathways and gene expression regulation in maize (Zea mays L.). Plant Molecular Biology. 104(6). 647–663. 16 indexed citations
11.
Wu, Mingli, Shipeng Li, Guoliang Zhang, et al.. (2019). Exploring insertions and deletions (indels) of <i>MSRB3</i> gene and their association with growth traits in four Chinese indigenous cattle breeds. Archives animal breeding/Archiv für Tierzucht. 62(2). 465–475. 9 indexed citations
12.
Ou, Xiaohong, Shipeng Li, Peiran Liao, et al.. (2019). The transcriptome variations of Panaxnotoginseng roots treated with different forms of nitrogen fertilizers. BMC Genomics. 20(S9). 965–965. 19 indexed citations
13.
Guo, Junqiang, Qingyi Wang, Li Liu, et al.. (2019). Analysis of microRNAs, phased small interfering RNAs and their potential targets in Rosarugosa Thunb.. BMC Genomics. 19(S9). 983–983. 10 indexed citations
14.
Chen, Kun, Li Liu, Xiaotuo Zhang, et al.. (2018). Phased secondary small interfering RNAs in Panaxnotoginseng. BMC Genomics. 19(S1). 41–41. 9 indexed citations
15.
Liu, Li, Shuchao Ren, Junqiang Guo, et al.. (2018). Genome-wide identification and comprehensive analysis of microRNAs and phased small interfering RNAs in watermelon. BMC Genomics. 19(S2). 111–111. 52 indexed citations
16.
Liao, Peiran, Shipeng Li, Xiuming Cui, & Yun Zheng. (2018). A comprehensive review of web-based resources of non-coding RNAs for plant science research. International Journal of Biological Sciences. 14(8). 819–832. 20 indexed citations
17.
Liu, Beibei, Shengzhong Su, Ying Wu, et al.. (2015). Histological and transcript analyses of intact somatic embryos in an elite maize (Zea mays L.) inbred line Y423. Plant Physiology and Biochemistry. 92. 81–91. 10 indexed citations
18.
Wang, Hong, Shipeng Li, Han Li, et al.. (2013). SGEF enhances EGFR stability through delayed EGFR trafficking from early to late endosomes. Carcinogenesis. 34(9). 1976–1983. 8 indexed citations
19.
Shan, Xiaohui, Xiaoyu Wang, Guang Yang, et al.. (2013). Analysis of the DNA methylation of maize (Zea mays L.) in response to cold stress based on methylation-sensitive amplified polymorphisms. Journal of Plant Biology. 56(1). 32–38. 94 indexed citations
20.
Li, Shipeng. (2008). Correlation analysis between <I>MC3R</I> and <I>MC4R</I> gene polymorphism and growth traits in pigeon. Hereditas (Beijing). 30(10). 1333–1340. 4 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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