Shan Lü

2.6k total citations
87 papers, 1.9k citations indexed

About

Shan Lü is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shan Lü has authored 87 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 16 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Shan Lü's work include Metabolism, Diabetes, and Cancer (7 papers), Mitochondrial Function and Pathology (6 papers) and Cancer-related molecular mechanisms research (6 papers). Shan Lü is often cited by papers focused on Metabolism, Diabetes, and Cancer (7 papers), Mitochondrial Function and Pathology (6 papers) and Cancer-related molecular mechanisms research (6 papers). Shan Lü collaborates with scholars based in China, United States and Germany. Shan Lü's co-authors include Harriet L. Robinson, Cong Cao, Wen‐Ming Chu, Yinsheng Wan, Nicola Kouttab, Honglin Liu, Rebecca Kivlin, Donald M. Bers, Ashley Amaral and Shiu-Lok Hu and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shan Lü

79 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Lü China 21 974 341 280 261 226 87 1.9k
Sonia Moretti Italy 33 1.3k 1.3× 472 1.4× 404 1.4× 285 1.1× 197 0.9× 98 3.3k
Mahavir Singh United States 27 1.0k 1.1× 251 0.7× 82 0.3× 369 1.4× 192 0.8× 96 2.3k
Carmen Punzón Spain 22 548 0.6× 557 1.6× 109 0.4× 261 1.0× 189 0.8× 36 1.6k
Jenn‐Haung Lai Taiwan 31 825 0.8× 887 2.6× 88 0.3× 198 0.8× 313 1.4× 83 2.7k
S A Gregory United States 17 587 0.6× 519 1.5× 318 1.1× 153 0.6× 142 0.6× 22 2.2k
Dmitri Sviridov Australia 30 1.1k 1.1× 609 1.8× 331 1.2× 418 1.6× 291 1.3× 72 2.7k
Allan S. Y. Lau Hong Kong 24 553 0.6× 526 1.5× 178 0.6× 393 1.5× 95 0.4× 39 1.8k
Pedro A. Ruiz Switzerland 23 1.0k 1.1× 637 1.9× 61 0.2× 454 1.7× 174 0.8× 56 2.5k
Mary Ann Suico Japan 26 1.1k 1.1× 460 1.3× 43 0.2× 227 0.9× 149 0.7× 109 2.1k
Mark S. Sundrud United States 27 932 1.0× 1.8k 5.3× 216 0.8× 327 1.3× 144 0.6× 48 3.2k

Countries citing papers authored by Shan Lü

Since Specialization
Citations

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

Fields of papers citing papers by Shan Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Lü. A scholar is included among the top collaborators of Shan Lü 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 Shan Lü. Shan Lü 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.
Lü, Shan, et al.. (2025). Sedentary Leisure Behaviour, Physical Activity, and Gastroesophageal Reflux Disease: Evidence From a Mendelian Randomization Analysis. Health Science Reports. 8(3). e70479–e70479. 1 indexed citations
2.
Li, Yuhang, et al.. (2025). Anisotropic thermal expansion suppression of Cu doped with oriented reduced graphene oxide by anharmonic vibration restriction. Chemical Engineering Journal. 510. 161484–161484. 2 indexed citations
3.
Zhang, Silu, et al.. (2025). Production of collagen-derived hydroxyproline (Hyp)-containing di- and tripeptides by brush border membrane enzymes and their absorption characteristics. Food Research International. 217. 116847–116847. 1 indexed citations
4.
Lü, Shan, et al.. (2025). Celastrol ameliorates experimental autoimmune neuritis by shifting the polarization of M1/M2 macrophages. Boletin Latinoamericano y del Caribe de plantas Medicinales y Aromaticas. 24(4). 612–628. 1 indexed citations
5.
Ni, Jie, Yifan Zhou, Bin Li, et al.. (2025). PTMFusionNet: A Deep Learning Approach for Predicting Disease Related Post-translational Modification and Classifying Disease Subtypes. Molecular & Cellular Proteomics. 24(7). 101009–101009.
6.
Lü, Shan, et al.. (2024). The way of using digital media based on artificial intelligence technology and the path of creation. Applied Mathematics and Nonlinear Sciences. 9(1).
7.
Lü, Shan, et al.. (2024). nanoBERT: a deep learning model for gene agnostic navigation of the nanobody mutational space. Bioinformatics Advances. 4(1). vbae033–vbae033. 11 indexed citations
8.
Liu, Zeye, Liqun Ren, Liyun He, et al.. (2024). Association between glucose levels and all-cause mortality in cancer survivors: findings from NHANES 1999–2018. BMC Public Health. 24(1). 2002–2002. 3 indexed citations
9.
Xie, Jing, Zeye Liu, Liqun Ren, et al.. (2023). Global, regional, and national time trends in cancer mortality attributable to high fasting plasma glucose: an age-period cohort analysis. BMC Public Health. 23(1). 1361–1361. 10 indexed citations
10.
Lü, Shan, et al.. (2023). The effects of ARID1A mutation in gastric cancer and its significance for treatment. Cancer Cell International. 23(1). 296–296. 9 indexed citations
11.
Lü, Shan, Anzhi Wang, Shumei Miao, et al.. (2020). Association between type 2 diabetes and cancer incidence in China: data in hospitalized patients from 2006 to 2013. Annals of Translational Medicine. 8(5). 176–176. 7 indexed citations
12.
Zhang, Rihua, Jing Kan, Shan Lü, et al.. (2019). S100A16-induced adipogenesis is associated with up-regulation of 11 β-hydroxysteroid dehydrogenase type 1 (11β-HSD1). Bioscience Reports. 39(9). 11 indexed citations
13.
Kan, Jingbao, Cuiping Zhao, Shan Lü, et al.. (2019). S100A16, a novel lipogenesis promoting factor in livers of mice and hepatocytes in vitro. Journal of Cellular Physiology. 234(11). 21395–21406. 18 indexed citations
14.
Wang, Yanling, et al.. (2019). Radiomics Nomogram Analyses for Differentiating Pneumonia and Acute Paraquat Lung Injury. Scientific Reports. 9(1). 15029–15029. 31 indexed citations
15.
Wei, Hongling, et al.. (2018). [17α-Hydroxylase deficiency with severe hypertension as the initial symptom in a child].. PubMed Central. 20(8). 675–679. 2 indexed citations
16.
Xu, Hairong, Zejun Ma, Shan Lü, et al.. (2017). Renal Resistive Index as a Novel Indicator for Renal Complications in High-Fat Diet-Fed Mice. Kidney & Blood Pressure Research. 42(6). 1128–1140. 12 indexed citations
17.
Hu, Songliu, Songbin Fu, Xiangying Xu, et al.. (2015). The Mechanism of Radiosensitization by YM155, a Novel Small Molecule Inhibitor of Survivin Expression, is Associated with DNA Damage Repair. Cellular Physiology and Biochemistry. 37(3). 1219–1230. 20 indexed citations
18.
Lian, Xin, Yu Jiao, Zhipeng Wang, et al.. (2014). CrkL regulates SDF-1-induced breast cancer biology through balancing Erk1/2 and PI3K/Akt pathways. Medical Oncology. 32(1). 411–411. 14 indexed citations
19.
Zhu, Yinchang, Wei He, Xiaoting Wang, et al.. (2012). A Novel Immunodiagnostic Assay to Detect Serum Antibody Response against Selected Soluble Egg Antigen Fractions from Schistosoma japonicum. PLoS ONE. 7(8). e44032–e44032. 18 indexed citations
20.
Cao, Cong, Shan Lü, Qin Jiang, et al.. (2008). EGFR activation confers protections against UV-induced apoptosis in cultured mouse skin dendritic cells. Cellular Signalling. 20(10). 1830–1838. 35 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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