Lisha Shen

7.1k total citations · 1 hit paper
105 papers, 4.9k citations indexed

About

Lisha Shen is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Lisha Shen has authored 105 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 46 papers in Plant Science and 14 papers in Cancer Research. Recurrent topics in Lisha Shen's work include Plant Molecular Biology Research (37 papers), Plant Reproductive Biology (22 papers) and RNA modifications and cancer (20 papers). Lisha Shen is often cited by papers focused on Plant Molecular Biology Research (37 papers), Plant Reproductive Biology (22 papers) and RNA modifications and cancer (20 papers). Lisha Shen collaborates with scholars based in China, Singapore and Hong Kong. Lisha Shen's co-authors include Hao Yu, Lu Liu, Chang Liu, Shengjie Bao, Zhe Liang, Xingliang Hou, Zhi Wei Norman Teo, Wanyan Xi, Chui Eng Wong and Xiaofeng Gu and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Lisha Shen

99 papers receiving 4.9k citations

Hit Papers

New insights into gibberellin signaling in regulating flo... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisha Shen China 37 3.6k 3.0k 519 503 128 105 4.9k
Shuhui Song China 32 1.6k 0.5× 983 0.3× 123 0.2× 379 0.8× 452 3.5× 108 3.0k
Simon J. Conn Australia 26 3.7k 1.0× 2.4k 0.8× 56 0.1× 1.9k 3.9× 137 1.1× 44 5.6k
Xiaozhen Huang China 22 1.0k 0.3× 1.3k 0.4× 162 0.3× 66 0.1× 86 0.7× 64 2.2k
Qinghua Zhang China 35 1.8k 0.5× 1.9k 0.6× 34 0.1× 222 0.4× 467 3.6× 109 3.4k
Pingping Wang China 25 1.4k 0.4× 1.3k 0.4× 36 0.1× 225 0.4× 77 0.6× 94 2.7k
Yifei Liu China 26 1.1k 0.3× 972 0.3× 48 0.1× 105 0.2× 188 1.5× 110 2.4k
Yingying Liu China 30 1.7k 0.5× 622 0.2× 31 0.1× 366 0.7× 96 0.8× 180 2.9k

Countries citing papers authored by Lisha Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lisha Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisha Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lisha Shen. A scholar is included among the top collaborators of Lisha Shen 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 Lisha Shen. Lisha Shen 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.
Liu, Peipei, Shi‐Li Zhang, Xinying Wang, et al.. (2025). Adventitious Root Formation in Cuttings: Insights from Arabidopsis and Prospects for Woody Plants. Biomolecules. 15(8). 1089–1089. 1 indexed citations
2.
Chen, Jiawen, Lisha Shen, Yuxin Liu, et al.. (2025). Arnicolide C induces ROS-mediated modulation of PI3K/Akt and MAPK pathways to suppress MYC in hepatocellular carcinoma. Phytomedicine. 148. 157423–157423.
3.
Tao, Yi, Lisha Shen, & Ping Wang. (2025). Advances and perspectives on isolation, structural characterization, structure-property relationships, and pharmacological mechanisms of tumor immune glucans: A review. International Journal of Biological Macromolecules. 315(Pt 2). 144621–144621.
4.
Ge, Xiaoxu, Wenfang Peng, Lisha Shen, et al.. (2024). Triglyceride Glucose Index for the Detection of Diabetic Kidney Disease and Diabetic Peripheral Neuropathy in Hospitalized Patients with Type 2 Diabetes. Diabetes Therapy. 15(8). 1799–1810. 5 indexed citations
7.
Shen, Lisha, et al.. (2023). In Vitro and In Vivo Anti-Cancer Activity of Lasiokaurin in a Triple-Negative Breast Cancer Model. Molecules. 28(23). 7701–7701. 2 indexed citations
8.
Chen, Yuan, Qinggang Liu, Jingya Xu, et al.. (2023). MED8 regulates floral transition in Arabidopsis by interacting with FPA. The Plant Journal. 116(5). 1234–1247. 6 indexed citations
9.
Chen, Zhuo, et al.. (2022). Spatiotemporal evolution of chlorophyll-a concentration from MODIS data inversion in the middle and lower reaches of the Hanjiang River, China. Environmental Science and Pollution Research. 29(25). 38143–38160. 12 indexed citations
10.
Shen, Lisha, et al.. (2021). A Molecular switch for FLOWERING LOCUS C activation determines flowering time in Arabidopsis. The Plant Cell. 34(2). 818–833. 18 indexed citations
11.
Shen, Lisha, Jinsong Gao, Jun Wang, et al.. (2021). Pregnancy after the diagnosis of lymphangioleiomyomatosis (LAM). Orphanet Journal of Rare Diseases. 16(1). 133–133. 18 indexed citations
12.
Zhang, Yaping, Ping Song, Ruhui Zhang, et al.. (2021). Clinical Characteristics of Chronic Lung Abscess Associated with Parvimonas micra Diagnosed Using Metagenomic Next-Generation Sequencing. Infection and Drug Resistance. Volume 14. 1191–1198. 12 indexed citations
13.
Shen, Lisha, et al.. (2021). Effects of hydrological change on the risk of riverine algal blooms: case study in the mid-downstream of the Han River in China. Environmental Science and Pollution Research. 28(16). 19851–19865. 24 indexed citations
14.
Wang, Qianqian, Lisha Shen, Wenfang Peng, et al.. (2020). circ_0037128/miR-17-3p/AKT3 axis promotes the development of diabetic nephropathy. Gene. 765. 145076–145076. 39 indexed citations
15.
Xu, Bojin, Qianqian Wang, Wenyi Li, et al.. (2020). Circular RNA circEIF4G2 aggravates renal fibrosis in diabetic nephropathy by sponging miR‐218. Journal of Cellular and Molecular Medicine. 26(6). 1799–1805. 34 indexed citations
16.
Peng, Wenfang, Feng Bai, Kan Shao, et al.. (2018). The key genes underlying pathophysiology association between the type 2‐diabetic and colorectal cancer. Journal of Cellular Physiology. 233(11). 8551–8557. 28 indexed citations
17.
Luo, Guangbin, Lisha Shen, Yanhong Song, et al.. (2018). Mechanisms, origin and heredity of Glu-1Ay silencing in wheat evolution and domestication. Theoretical and Applied Genetics. 131(7). 1561–1575. 9 indexed citations
18.
Huang, Shan, Yong Xu, Xiaoxu Ge, et al.. (2018). Long noncoding RNA NEAT1 accelerates the proliferation and fibrosis in diabetic nephropathy through activating Akt/mTOR signaling pathway. Journal of Cellular Physiology. 234(7). 11200–11207. 85 indexed citations
19.
Shen, Lisha, Wenshuai Xu, Xiuxiu Wu, et al.. (2018). Functional improvements in patients with lymphangioleiomyomatosis after sirolimus: an observational study. Orphanet Journal of Rare Diseases. 13(1). 34–34. 15 indexed citations
20.
Shao, Kan, Lisha Shen, Huihua Li, Shan Huang, & Yong Zhang. (2017). Systematic‐analysis of mRNA expression profiles in skeletal muscle of patients with type II diabetes: The glucocorticoid was central in pathogenesis. Journal of Cellular Physiology. 233(5). 4068–4076. 9 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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