Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
FcR γ chain deletion results in pleiotrophic effector cell defects
Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study
This map shows the geographic impact of Min 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 Min Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Li more than expected).
This network shows the impact of papers produced by Min 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 Min Li. The network helps show where Min Li may publish in the future.
Co-authorship network of co-authors of Min Li
This figure shows the co-authorship network connecting the top 25 collaborators of Min Li.
A scholar is included among the top collaborators of Min 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 Min Li. Min Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Li, Min, et al.. (2020). Downregulation of circNRIP1 Suppresses the Paclitaxel Resistance of Ovarian Cancer via Regulating the miR-211-5p/HOXC8 Axis. SHILAP Revista de lepidopterología.3 indexed citations
12.
W, Li, et al.. (2020). Lamin B1 Overexpresses in Lung Adenocarcinoma and Promotes Proliferation in Lung Cancer Cells via AKT Pathway. SHILAP Revista de lepidopterología.1 indexed citations
13.
Yan, Xiao-Bo, Xiaopan Chen, Min Li, & Peilin Zhang. (2019). Prevalence and risk factors of anxiety and depression in Chinese patients with lung cancer: a cross-sectional study. SHILAP Revista de lepidopterología.6 indexed citations
14.
Li, Min, et al.. (2019). A dual-functional HER2 aptamer-conjugated, pH-activated mesoporous silica nanocarrier-based drug delivery system provides in vitro synergistic cytotoxicity in HER2-positive breast cancer cells. SHILAP Revista de lepidopterología.1 indexed citations
15.
Li, Min, et al.. (2019). Self-efficacy-focused education in persons with diabetes: a systematic review and meta-analysis. SHILAP Revista de lepidopterología.4 indexed citations
16.
Chen, Qian, Jiaqi Shi, Zhong‐Tao Ding, et al.. (2019). Berberine induces apoptosis in non-small-cell lung cancer cells by upregulating miR-19a targeting tissue factor. SHILAP Revista de lepidopterología.4 indexed citations
17.
Li, Min, Hui Luo, Kai He, et al.. (2018). Phase-shift, targeted nanoparticles for ultrasound molecular imaging by low intensity focused ultrasound irradiation. SHILAP Revista de lepidopterología.1 indexed citations
18.
Che, Dongsheng, et al.. (2018). Immature platelets and antiplatelet therapy response to aspirin in Kawasaki disease. SHILAP Revista de lepidopterología.1 indexed citations
19.
Huang, Wenjiang, et al.. (2018). Hypoglycemic activity and constituents analysis of blueberry (Vaccinium corymbosum) fruit extracts. SHILAP Revista de lepidopterología.1 indexed citations
20.
Gu, Wei, et al.. (2017). Portulaca oleracea L. alleviates liver injury in streptozotocin-induced diabetic mice. SHILAP Revista de lepidopterología.1 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.