Li S
- Geophysics top 10%
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 6
- Cancer, Hypoxia, and Metabolism 5
- Transplantation top 10%
- Complementary and Manual Therapy top 10%
- Parasitology top 10%
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- Cancer Research and Treatments 7
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- Natural product bioactivities and synthesis 6
- Circular RNAs in diseases 6
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- Liver Disease Diagnosis and Treatment 6
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- Fish Biology and Ecology Studies 5
Li S
267 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 163
- Geophysics 211
- Cancer Research 153
- Transplantation 20
- Complementary and Manual Therapy 13
- Parasitology 38
Countries citing papers authored by Li S
This map shows the geographic impact of Li S'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 S with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li S more than expected).
Fields of papers citing papers by Li S
This network shows the impact of papers produced by Li S. 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 S. The network helps show where Li S may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li S, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Carvacrol Alleviates Hyperuricemia-Induced Oxidative Stress and Inflammation by Modulating the NLRP3/NF-κB Pathwayt | 2022 | 1 |
| 2 | Which Information Frame is Best for Reporting News on the COVID-19 Pandemic? An Online Questionnaire Study in China | 2021 | 1 |
| 3 | Triglyceride to High-Density Lipoprotein Cholesterol Ratio is an Important Determinant of Cardiovascular Risk and Poor Prognosis in Coronavirus Disease-19: A Retrospective Case Series Study | 2020 | 0 |
| 4 | ACE2 Attenuates Epithelial-Mesenchymal Transition in MLE-12 Cells Induced by Silica | 2020 | 1 |
| 5 | Advanced Black Phosphorus Nanomaterials for Bone Regeneration | 2020 | 1 |
| 6 | Circ_0005576 Promotes Malignant Progression Through miR-874/CDK8 Axis in Colorectal Cancer | 2020 | 1 |
| 7 | Superiority of L-tartaric Acid Modified Chiral Mesoporous Silica Nanoparticle as a Drug Carrier: Structure, Wettability, Degradation, Bio-Adhesion and Biocompatibility | 2020 | 1 |
| 8 | A Nomogram Model to Predict Malignant Cerebral Edema in Ischemic Stroke Patients Treated with Endovascular Thrombectomy: An Observational Study | 2020 | 1 |
| 9 | LncRNA XIST depletion prevents cancer progression in invasive pituitary neuroendocrine tumor by inhibiting bFGF via upregulation of microRNA-424-5p | 2019 | 1 |
| 10 | First-In-Human Phase I Study Of A Dual mTOR Kinase And DNA-PK Inhibitor (CC-115) In Advanced Malignancy | 2019 | 1 |
| 11 | Glucose-Sensitive Nanoparticles Based On Poly(3-Acrylamidophenylboronic Acid-Block-N-Vinylcaprolactam) For Insulin Delivery | 2019 | 1 |
| 12 | Tanshinol ameliorates CCl4-induced liver fibrosis in rats through the regulation of Nrf2/HO-1 and NF-κB/IκBα signaling pathway | 2018 | 1 |
| 13 | Carbapenem-resistant and cephalosporin-susceptible Pseudomonas aeruginosa: a notable phenotype in patients with bacteremia | 2018 | 2 |
| 14 | In vitro and in vivo evaluation of novel NGR-modified liposomes containing brucine | 2017 | 1 |
| 15 | NanoVelcro-captured CTC number concomitant with enhanced serum levels of MMP7 and MMP9 enables accurate prediction of metastasis and poor prognosis in patients with lung adenocarcinoma | 2017 | 2 |
| 16 | Enhanced antitumor efficacy of doxorubicin-encapsulated halloysite nanotubes | 2017 | 1 |
| 17 | Long-term intravenous administration of carboxylated single-walled carbon nanotubes induces persistent accumulation in the lungs and pulmonary fibrosis via the nuclear factor-kappa B pathway | 2016 | 2 |
| 18 | Protective effect of fucoidan from Fucus vesiculosus on liver fibrosis via the TGF-β1/Smad pathway-mediated inhibition of extracellular matrix and autophagy | 2016 | 21 |
| 19 | Inhibitive effects of 15-deoxy-Δ12,14-prostaglandin J2 on hepatoma-cell proliferation through reactive oxygen species-mediated apoptosis | 2015 | 3 |
| 20 | Influences of surface coatings and components of FePt nanoparticles on the suppression of glioma cell proliferation | 2012 | 1 |
About Li S
Li S is a scholar working on General Engineering, Cancer Research, Parasitology, Biotechnology and Pharmacology, having authored 285 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Cancer Research and Treatments (7 papers), MicroRNA in disease regulation (6 papers), Natural product bioactivities and synthesis (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Circular RNAs in diseases (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Fish Biology and Ecology Studies (5 papers). The work is most often cited by research in Geophysics (211 citations), Cancer Research (153 citations), Transplantation (20 citations), Complementary and Manual Therapy (13 citations) and Parasitology (38 citations). Li S has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include James E. Case, Léster Alfonso, Yuanqiang Zhang, Yunhua Xu, Huijun Li, Xuelong Jiao, Klára Kitajka, Zhaotian Zhang, Z. Janka and Hailin Tang. Their work appears in journals such as Environmental Epidemiology, Geological Society of America Bulletin, Psychiatric Genetics, The Journal of invasive cardiology and SHILAP Revista de lepidopterología.
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.