Li Y
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 60
- MicroRNA in disease regulation 29
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- Circular RNAs in diseases 33
- RNA modifications and cancer 31
- Epigenetics and DNA Methylation 20
- Cancer-related gene regulation 18
- Co-authors
- Jun ChenHongyu LiuHesheng XiaHongji ZhangYing LiHongbing ZhangQinghua ZhouJie Wang
- Journals
- Journal of Cancer (6 papers)Frontiers in Immunology (5 papers)Cancer Research (4 papers)OncoTargets and Therapy (3 papers)Acta Pharmacologica Sinica (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Li Y
338 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 146
- Cancer Research 1.1k
- Molecular Biology 1.8k
- Oncology 489
- Horticulture 17
- Biomaterials 161
Countries citing papers authored by Li Y
This map shows the geographic impact of Li Y'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 Y with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Y more than expected).
Fields of papers citing papers by Li Y
This network shows the impact of papers produced by Li Y. 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 Y. The network helps show where Li Y may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Y, 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 | The Effect of Cytoreductive Partial Nephrectomy in Elderly Patients with Metastatic Renal Cell Carcinoma | 2020 | 1 |
| 2 | Long Noncoding RNA MALAT1 Promotes the Development of Colon Cancer by Regulating miR-101-3p/STC1 Axis | 2020 | 1 |
| 3 | Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India | 2020 | 0 |
| 4 | LncRNA HCP5 Promotes Cell Invasion and Migration by Sponging miR-29b-3p in Human Bladder Cancer | 2020 | 2 |
| 5 | circ_0136666 Facilitates the Progression of Colorectal Cancer via miR-383/CREB1 Axis | 2020 | 2 |
| 6 | Lnc HAGLR Promotes Colon Cancer Progression Through Sponging miR‐185‐5p and Activating CDK4 and CDK6 in vitro and in vivo | 2020 | 4 |
| 7 | Overexpression of MTFR2 Predicts Poor Prognosis of Breast Cancer | 2020 | 1 |
| 8 | Oridonin overcomes the gemcitabine resistant PANC-1/Gem cells by regulating GST pi and LRP/1 ERK/JNK signalling | 2019 | 3 |
| 9 | Diversity and frequency of resistance and virulence genes in blaKPC and blaNDM co-producing Klebsiella pneumoniae strains from China | 2019 | 1 |
| 10 | tRNA-derived fragment tRF-03357 promotes cell proliferation, migration and invasion in high-grade serous ovarian cancer | 2019 | 6 |
| 11 | miR-6716-5p promotes metastasis of colorectal cancer through downregulating NAT10 expression | 2019 | 1 |
| 12 | Pandoraea sputorum Bacteremia In A Patient Who Had Undergone Allogeneic Liver Transplantation Plus Immunosuppressive Therapy: A Case Report | 2019 | 1 |
| 13 | Long non-coding RNA H19 promotes the proliferation and invasion of lung cancer cells and regulates the expression of E-cadherin, N-cadherin, and vimentin | 2019 | 5 |
| 14 | FcγRIIA and IIIA polymorphisms predict clinical outcome of trastuzumab-treated metastatic gastric cancer | 2017 | 1 |
| 15 | Nimotuzumab combined with concurrent chemoradiotherapy benefits patients with advanced nasopharyngeal carcinoma | 2017 | 1 |
| 16 | A systematic review and meta-analysis of the risk of diarrhea associated with vandetanib treatment in carcinoma patients | 2016 | 1 |
| 17 | Correlation between epidermal growth factor receptor tyrosine kinase inhibitor efficacy and circulating tumor cell levels in patients with advanced non-small cell lung cancer | 2016 | 2 |
| 18 | Chimeric HBcAg virus-like particles presenting a HPV 16 E7 epitope significantly suppressed tumor progression through preventive or therapeutic immunization in a TC-1-grafted mouse model | 2016 | 4 |
| 19 | Clinical significance of DAPK promoter hypermethylation in lung cancer: a meta-analysis | 2015 | 4 |
| 20 | The drug efficacy and adverse reactions in a mouse model of oral squamous cell carcinoma treated with oxaliplatin at different time points during a day | 2013 | 1 |
About Li Y
Li Y is a scholar working on Cancer Research, Molecular Biology, Biotechnology, Oncology and Pulmonary and Respiratory Medicine, having authored 365 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (60 papers), Circular RNAs in diseases (33 papers), RNA modifications and cancer (31 papers), MicroRNA in disease regulation (29 papers), Lung Cancer Treatments and Mutations (22 papers), Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (18 papers) and Cancer Research and Treatments (15 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.8k citations), Oncology (489 citations), Horticulture (17 citations) and Biomaterials (161 citations). Li Y has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jun Chen, Hongyu Liu, Hesheng Xia, Hongji Zhang, Ying Li, Hongbing Zhang, Qinghua Zhou, Jie Wang, M. Liu and Fengjie Guo. Their work appears in journals such as Journal of Cancer, Frontiers in Immunology, Cancer Research, OncoTargets and Therapy and Acta Pharmacologica Sinica.
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.