Sen Li

1.1k total citations
50 papers, 784 citations indexed

About

Sen Li is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, Sen Li has authored 50 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Pharmacology. Recurrent topics in Sen Li's work include Metabolomics and Mass Spectrometry Studies (11 papers), Traditional Chinese Medicine Analysis (6 papers) and Natural product bioactivities and synthesis (5 papers). Sen Li is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Traditional Chinese Medicine Analysis (6 papers) and Natural product bioactivities and synthesis (5 papers). Sen Li collaborates with scholars based in China, United States and Israel. Sen Li's co-authors include Hongliang Jiang, Yongbiao Cheng, Chengwu Song, Shuna Jin, Yulin Feng, Youpeng Zhang, Zhifeng Du, Hanqing Zeng, Zhaohui Zhu and Yi Xiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Sen Li

45 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Li China 18 344 145 102 76 64 50 784
Guangjiang Shi China 10 243 0.7× 85 0.6× 245 2.4× 94 1.2× 55 0.9× 14 956
Yu Ou China 19 490 1.4× 120 0.8× 117 1.1× 48 0.6× 19 0.3× 48 1.1k
Yingnan Cao China 16 250 0.7× 72 0.5× 81 0.8× 16 0.2× 51 0.8× 27 675
Xue‐Lian Li China 21 247 0.7× 30 0.2× 86 0.8× 57 0.8× 31 0.5× 58 1.2k
Youcai Tang China 20 635 1.8× 104 0.7× 157 1.5× 58 0.8× 25 0.4× 45 1.3k
Roberto Cannataro Italy 18 281 0.8× 32 0.2× 67 0.7× 39 0.5× 67 1.0× 69 1.1k
Tsan-Hung Chiu Taiwan 18 385 1.1× 42 0.3× 33 0.3× 42 0.6× 57 0.9× 25 1.2k
Maryam Mahmoudi Iran 19 102 0.3× 129 0.9× 70 0.7× 48 0.6× 40 0.6× 48 780
Salim M. A. Bastaki United Arab Emirates 15 241 0.7× 34 0.2× 52 0.5× 120 1.6× 32 0.5× 43 862
Krishnananda Prabhu India 15 148 0.4× 73 0.5× 35 0.3× 25 0.3× 51 0.8× 62 634

Countries citing papers authored by Sen Li

Since Specialization
Citations

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

Fields of papers citing papers by Sen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Li. A scholar is included among the top collaborators of Sen 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 Sen Li. Sen 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.
Li, Sen, et al.. (2025). Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model. Drug Design Development and Therapy. Volume 19. 239–250. 1 indexed citations
2.
Wang, Yichen, et al.. (2025). Mesenchymal stem cell therapy for end-stage liver disease: adversity and opportunity. Stem Cell Research & Therapy. 16(1). 666–666. 1 indexed citations
3.
Yuan, Yuting, Sen Li, Xiaofang Yu, & Yuanhao Wang. (2025). Influence of substrates on the preparation of hydrophilic and oleophobic materials: A review of recent advances. Materials Today Communications. 46. 112726–112726.
4.
5.
6.
Cao, Hongwei, Xiaoxue Wang, Kai Huang, et al.. (2023). Alkaline amino acids present unique aggregation behavior for quinoa protein gelation under microwave irradiation. Food Hydrocolloids. 144. 108951–108951. 18 indexed citations
7.
Liu, Yuenan, Sen Li, Jun Wang, et al.. (2023). circRARS synergises with IGF2BP3 to regulate RNA methylation recognition to promote tumour progression in renal cell carcinoma. Clinical and Translational Medicine. 13(12). e1512–e1512. 13 indexed citations
8.
Pan, Guangtao, et al.. (2023). Dachengqi decoction ameliorates sepsis-induced liver injury by inhibiting the TGF-β1/Smad3 pathways. Journal of Traditional and Complementary Medicine. 14(3). 256–265. 2 indexed citations
9.
Jin, Yuehui, Chengwu Song, Guangya Chen, et al.. (2023). Comparative analysis of the synergetic effects of Diwuyanggan prescription on high fat diet-induced non-alcoholic fatty liver disease using untargeted metabolomics. Heliyon. 9(11). e22151–e22151. 4 indexed citations
10.
Li, Sen, Juan Liu, Nan Wang, et al.. (2021). Studies on Flowering Characteristics and Breeding System of Hemerocallis citrina‘Datong Huanghua’. Acta Horticulturae Sinica. 48(8). 1541. 3 indexed citations
11.
Li, Sen, Yongbiao Cheng, Gong Cheng, et al.. (2021). High SAA1 Expression Predicts Advanced Tumors in Renal Cancer. Frontiers in Oncology. 11. 649761–649761. 20 indexed citations
12.
Chen, Guangya, Yi Lv, Wei Ni, et al.. (2020). Associations between Phase Angle Values Obtained by Bioelectrical Impedance Analysis and Nonalcoholic Fatty Liver Disease in an Overweight Population. Canadian Journal of Gastroenterology and Hepatology. 2020. 1–7. 16 indexed citations
13.
Wang, Lu, Sen Li, Jiaxin Li, et al.. (2020). Comprehensive metabolic profiling of Alismatis Rhizoma triterpenes in rats based on characteristic ions and a triterpene database. Journal of Pharmaceutical Analysis. 11(1). 96–107. 12 indexed citations
14.
Sun, Yi, et al.. (2020). Discrimination of turmeric from different origins in China by MRM-based curcuminoid profiling and multivariate analysis. Food Chemistry. 338. 127794–127794. 22 indexed citations
15.
Guo, Shengmei, et al.. (2019). Acid and 1, 2‐Dichloroethane Co‐Promoted Substitution of the Amino Groups in Gramine and its Analogues with Trialkyl Phosphites. ChemistrySelect. 4(48). 14111–14113. 2 indexed citations
16.
Li, Sen, Lu Wang, Zhifeng Du, et al.. (2019). Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model. Analytical and Bioanalytical Chemistry. 411(15). 3257–3268. 27 indexed citations
17.
Chen, Jiayuan, Jiangtong Peng, Yongqiang Zheng, et al.. (2019). Primary renal lymphoma: a population-based study in the United States, 1980–2013. Scientific Reports. 9(1). 15125–15125. 22 indexed citations
18.
Zhao, Jun, et al.. (2016). [Climatic suitability of spring maize planted in the "sickle bend" area of China and regulation suggestion].. PubMed. 27(12). 3935–3943. 5 indexed citations
19.
Chen, Guiying, Chengwu Song, Shuna Jin, et al.. (2016). An integrated strategy for establishment of metabolite profile of endogenous lysoglycerophospholipids by two LC-MS/MS platforms. Talanta. 162. 530–539. 18 indexed citations
20.
Jin, Shuna, Chengwu Song, Sen Li, et al.. (2016). An integrated strategy for establishment of curcuminoid profile in turmeric using two LC–MS/MS platforms. Journal of Pharmaceutical and Biomedical Analysis. 132. 93–102. 36 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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