Shuiming Li

2.3k total citations
66 papers, 1.8k citations indexed

About

Shuiming Li is a scholar working on Molecular Biology, Physiology and Condensed Matter Physics. According to data from OpenAlex, Shuiming Li has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Physiology and 11 papers in Condensed Matter Physics. Recurrent topics in Shuiming Li's work include Alzheimer's disease research and treatments (10 papers), GaN-based semiconductor devices and materials (9 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Shuiming Li is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), GaN-based semiconductor devices and materials (9 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Shuiming Li collaborates with scholars based in China, United States and Hong Kong. Shuiming Li's co-authors include Xuli Wu, Yuqin Lu, Xiao Lin, Haoxie Xu, Yang Liu, Jun Zhong, Jian Huang, Zhenhui Kang, Hao Li and Shuit‐Tong Lee and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Shuiming Li

65 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuiming Li China 22 547 367 365 252 179 66 1.8k
Shuming Zhang China 21 897 1.6× 196 0.5× 335 0.9× 246 1.0× 209 1.2× 79 2.1k
Mengxi Wang China 19 817 1.5× 164 0.4× 32 0.1× 107 0.4× 131 0.7× 102 1.7k
Mireille M. A. E. Claessens Netherlands 38 1.1k 2.1× 242 0.7× 143 0.4× 53 0.2× 469 2.6× 89 3.6k
Jisheng Chen China 25 1.9k 3.5× 189 0.5× 32 0.1× 543 2.2× 178 1.0× 143 3.7k
H. Satoh Japan 27 1.1k 2.0× 100 0.3× 81 0.2× 42 0.2× 317 1.8× 85 2.7k
Tatsuo Nakayama Japan 27 1.4k 2.5× 170 0.5× 790 2.2× 771 3.1× 36 0.2× 105 2.9k
Miguel Ángel López Spain 27 610 1.1× 120 0.3× 322 0.9× 333 1.3× 875 4.9× 55 1.6k
Elena Kalinina Russia 21 719 1.3× 64 0.2× 114 0.3× 122 0.5× 96 0.5× 96 1.5k
Lu Jin China 26 357 0.7× 899 2.4× 116 0.3× 551 2.2× 612 3.4× 135 2.4k

Countries citing papers authored by Shuiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuiming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shuiming Li. A scholar is included among the top collaborators of Shuiming 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 Shuiming Li. Shuiming 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.
Chen, Feng-Zhi, Shujun Peng, Yifan Wang, et al.. (2024). TORSEL, a 4EBP1-based mTORC1 live-cell sensor, reveals nutrient-sensing targeting by histone deacetylase inhibitors. Cell & Bioscience. 14(1). 68–68. 5 indexed citations
2.
Li, Yang, Lei Yang, Shuiming Li, et al.. (2023). Plasma Proteomics Study Between the Frequent Exacerbation and Infrequent Exacerbation Phenotypes of Chronic Obstructive Pulmonary Disease. International Journal of COPD. Volume 18. 1713–1728.
3.
Liu, Yanchen, Mingming Zhang, Zhao Liu, et al.. (2022). A strategy can be used to analyze intracellular interaction proteomics of cell-surface receptors. Amino Acids. 55(2). 263–273. 2 indexed citations
4.
Yang, Chen, Mingming Zhang, Shuiming Li, et al.. (2022). Effects of Camk2b Overexpression and Underexpression on the Proteome of Rat Hippocampal Neurons. Neuroscience. 503. 58–68. 3 indexed citations
5.
Liu, Yanchen, Shuiming Li, Wei Chen, et al.. (2021). Global effects of RAB3GAP1 dysexpression on the proteome of mouse cortical neurons. Amino Acids. 53(9). 1339–1350. 2 indexed citations
6.
He, Weiyi, Tingting Zhang, Tanja Ćirković Veličković, et al.. (2020). Covalent conjugation with (−)-epigallo-catechin 3-gallate and chlorogenic acid changes allergenicity and functional properties of Ara h1 from peanut. Food Chemistry. 331. 127355–127355. 81 indexed citations
7.
Cai, Hui, Yuqing Mo, Ling Ye, et al.. (2020). Proteomic Analysis of Serum Differentially Expressed Proteins Between Allergic Bronchopulmonary Aspergillosis and Asthma. Mycopathologia. 186(1). 1–13. 1 indexed citations
8.
Zhao, Xiaoli, Shuiming Li, Tong Zhang, et al.. (2019). Role of hsp20 in the Production of Spores and Insecticidal Crystal Proteins in Bacillus thuringiensis. Frontiers in Microbiology. 10. 2059–2059. 6 indexed citations
9.
Zhou, Liang, Guoqiang Li, Anguo Li, et al.. (2019). Characterization of a group D anti-lipopolysaccharide factor (ALF) involved in anti-Vibrio response in Penaeus monodon. Fish & Shellfish Immunology. 89. 384–392. 13 indexed citations
10.
Tang, Min, Haojun Huang, Shuiming Li, et al.. (2019). Hippocampal proteomic changes of susceptibility and resilience to depression or anxiety in a rat model of chronic mild stress. Translational Psychiatry. 9(1). 260–260. 77 indexed citations
11.
Zhou, Mi, Zhao Liu, Jia Yu, et al.. (2018). Quantitative Proteomic Analysis Reveals Synaptic Dysfunction in the Amygdala of Rats Susceptible to Chronic Mild Stress. Neuroscience. 376. 24–39. 24 indexed citations
12.
Zheng, Weihao, et al.. (2018). Autophosphorylation Mechanism of the Ser/Thr Kinase Stk1 From Staphylococcus aureus. Frontiers in Microbiology. 9. 758–758. 13 indexed citations
13.
Liu, Zhao, Shuiming Li, Haiyang Wang, et al.. (2017). Proteomic and network analysis of human serum albuminome by integrated use of quick crosslinking and two-step precipitation. Scientific Reports. 7(1). 9856–9856. 17 indexed citations
14.
Li, Shuiming, et al.. (2017). In-depth analysis of the synaptic plasma membrane proteome of small hippocampal slices using an integrated approach. Neuroscience. 353. 119–132. 13 indexed citations
15.
Li, Shuiming, et al.. (2017). EGFR induces DNA decomposition via phosphodiester bond cleavage. Scientific Reports. 7(1). 43698–43698. 2 indexed citations
16.
Wang, Hao, et al.. (2016). Quantitative Proteomics Reveals the Mechanism of Oxygen Treatment on Lenses of Alzheimer’s Disease Model Mice. Journal of Alzheimer s Disease. 54(1). 275–286. 15 indexed citations
17.
Qi, Dandan, Qianqian Wang, Hongguang Li, et al.. (2015). SILAC-based quantitative proteomics identified lysosome as a fast response target to PDT agent Gd-N induced oxidative stress in human ovarian cancer IGROV1 cells. Molecular BioSystems. 11(11). 3059–3067. 8 indexed citations
18.
Ren, Xiaohu, Jie Li, Bo Xia, et al.. (2015). Phosphoproteomic analyses of L-02 liver cells exposed to trichloroethylene. Toxicology Mechanisms and Methods. 25(6). 459–466. 4 indexed citations
19.
Li, Shuiming, Kai Wang, Fei Chen, & Sheng Liu. (2012). New freeform lenses for white LEDs with high color spatial uniformity. Optics Express. 20(22). 24418–24418. 10 indexed citations
20.
Cao, Jia, Shuiming Li, Xiaojun Yan, et al.. (2007). Proteomic and peptidomic analysis of the venom from Chinese tarantula Chilobrachys jingzhao. PROTEOMICS. 7(11). 1892–1907. 54 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026