Li Su

5.1k total citations
164 papers, 3.8k citations indexed

About

Li Su is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Li Su has authored 164 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 33 papers in Cancer Research and 19 papers in Genetics. Recurrent topics in Li Su's work include Cancer-related molecular mechanisms research (14 papers), Glutathione Transferases and Polymorphisms (12 papers) and MicroRNA in disease regulation (12 papers). Li Su is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), Glutathione Transferases and Polymorphisms (12 papers) and MicroRNA in disease regulation (12 papers). Li Su collaborates with scholars based in China, United States and United Kingdom. Li Su's co-authors include David C. Christiani, John C. Wain, Thomas J. Lynch, Jianxiong Long, Geoffrey Liu, David P. Miller, Guifeng Huang, Lian Gu, Wei Zhou and Baoyun Liang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Li Su

155 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Su China 36 1.5k 602 549 375 313 164 3.8k
Takahiko Katoh Japan 34 1.8k 1.3× 573 1.0× 535 1.0× 331 0.9× 452 1.4× 169 3.8k
Wojciech Fendler Poland 32 1.5k 1.0× 915 1.5× 416 0.8× 478 1.3× 616 2.0× 280 4.1k
Konstantin Strauch Germany 35 1.6k 1.1× 444 0.7× 364 0.7× 561 1.5× 978 3.1× 127 4.3k
Dong Kim United States 39 1.2k 0.8× 410 0.7× 663 1.2× 253 0.7× 474 1.5× 185 4.7k
Jong Y. Park United States 34 1.3k 0.9× 706 1.2× 988 1.8× 879 2.3× 307 1.0× 141 3.5k
Risto Bloigu Finland 39 831 0.6× 450 0.7× 636 1.2× 871 2.3× 497 1.6× 157 5.2k
Elizabeth M. Poole United States 36 835 0.6× 582 1.0× 295 0.5× 1.3k 3.4× 354 1.1× 134 3.6k
Kei Kamide Japan 41 1.2k 0.8× 495 0.8× 613 1.1× 151 0.4× 331 1.1× 239 5.7k
Fang Yang China 33 1.5k 1.0× 932 1.5× 686 1.2× 1.4k 3.7× 374 1.2× 162 4.2k
Wei Yann Tsai United States 34 629 0.4× 761 1.3× 456 0.8× 1.1k 3.0× 388 1.2× 57 4.3k

Countries citing papers authored by Li Su

Since Specialization
Citations

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

Fields of papers citing papers by Li Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Su

This figure shows the co-authorship network connecting the top 25 collaborators of Li Su. A scholar is included among the top collaborators of Li Su 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 Li Su. Li Su 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.
Ali, Ali, Li Su, Jillian Newton, et al.. (2025). Dietary Carnosine Supplementation in Healthy Human Volunteers: A Safety, Tolerability, Plasma and Brain Concentration Study. Nutrients. 17(13). 2130–2130.
2.
Baig, Sheharyar, Cara Mooney, Ali Ali, et al.. (2025). TRanscutaneous lImb reCovEry Post-Stroke (TRICEPS): study protocol for a randomised, controlled, multiarm, multistage adaptive design trial. BMJ Open. 15(3). e092520–e092520.
3.
Qin, Yulu, Xiaoping Tan, Sisi Wang, et al.. (2024). Secondhand smoke exposure can increase the risk of first ischemic stroke: A 10.7-year prospective cohort study in China. Annals of Epidemiology. 92. 25–34. 4 indexed citations
4.
Zhang, Longyao, Jingqing Hang, Fengying Zhang, et al.. (2024). Proteomic biomarkers of long-term lung function decline in textile workers: a 35-year longitudinal study. Journal of Exposure Science & Environmental Epidemiology. 35(4). 602–610.
5.
Baig, Sheharyar, Mohamed A. Abd El Aziz, Simon Bell, et al.. (2024). Optimizing non-invasive vagus nerve stimulation for treatment in stroke. Neural Regeneration Research. 20(12). 3388–3399. 1 indexed citations
6.
Su, Li, Tingting Zhu, Han Liu, et al.. (2023). The miR-100-5p Targets SMARCA5 to Regulate the Apoptosis and Intracellular Survival of BCG in Infected THP-1 Cells. Cells. 12(3). 476–476. 4 indexed citations
8.
Zhu, Lulu, et al.. (2023). A Potential Immune-Related miRNAs Regulatory Network and Corresponding Diagnostic Efficacy in Schizophrenia. Neurochemical Research. 48(9). 2784–2793. 3 indexed citations
9.
Yang, Jialei, Wanting He, Lulu Zhu, et al.. (2023). CircFOXP1 alleviates brain injury after acute ischemic stroke by regulating STAT3/apoptotic signaling. Translational research. 257. 15–29. 19 indexed citations
10.
Guo, Xiaojing, Jialei Yang, Jiao Huang, et al.. (2018). Influence of CTNNB1 rs2953 polymorphism on schizophrenia susceptibility in Chinese Han population through modifying miR‐485 binding to CTNNB1. Genes Brain & Behavior. 18(4). e12524–e12524. 9 indexed citations
11.
Liu, Chen-Yu, Isabelle Stücker, Chu Chen, et al.. (2015). Genome-wide Gene–Asbestos Exposure Interaction Association Study Identifies a Common Susceptibility Variant on 22q13.31 Associated with Lung Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 24(10). 1564–1573. 15 indexed citations
12.
Gu, Lian, Guangliang Wu, Li Su, et al.. (2015). TNF-a(-238G/A and -308G/A) gene polymorphisms may not contribute to the risk of ischemic stroke. International Journal of Neuroscience. 126(3). 219–226. 11 indexed citations
13.
Su, Li. (2012). Epidemiological study on Chinese medical syndrome of knee osteoarthritis. Shanghai Journal of Traditional Chinese Medicine. 1 indexed citations
14.
Shi, Jing, Jingqing Hang, Amar Mehta, et al.. (2010). Long-term Effects of Work Cessation on Respiratory Health of Textile Workers: A 25-Year Follow-up Study. American Journal of Respiratory and Critical Care Medicine. 182(2). 200–206. 16 indexed citations
15.
Liu, Chen-Yu, Yu-Han H. Hsu, Meng Wu, et al.. (2008). Maternal and offspring genetic variants of AKR1C3 and the risk of childhood leukemia. Carcinogenesis. 29(5). 984–990. 27 indexed citations
16.
Su, Li. (2007). DEVELOPMENT OF PSYCHOLOGICAL REACTION SCALES TO PUBLIC HEALTH EMERGENCIES. Xiandai yufang yixue. 3 indexed citations
17.
Wang, Xiaorong, Hongxi Zhang, He‐lian Dai, et al.. (2007). Cross-shift Airway Responses and Long-Term Decline in FEV1 in Cotton Textile Workers. American Journal of Respiratory and Critical Care Medicine. 177(3). 316–320. 29 indexed citations
18.
Su, Li & Shelah Leader. (2006). Economic burden and absenteeism from influenza-like illness in healthy households with children (5–17 years) in the US. Respiratory Medicine. 101(6). 1244–1250. 55 indexed citations
19.
Hang, Jingqing, Wei Zhou, Xiaorong Wang, et al.. (2004). Microsomal Epoxide Hydrolase, Endotoxin, and Lung Function Decline in Cotton Textile Workers. American Journal of Respiratory and Critical Care Medicine. 171(2). 165–170. 26 indexed citations
20.
Zhou, Wei, Geoffrey Liu, David P. Miller, et al.. (2003). Polymorphisms in the DNA repair genes XRCC1 and ERCC2, smoking, and lung cancer risk.. PubMed. 12(4). 359–65. 156 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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