Minxin Shi

1.0k total citations
26 papers, 364 citations indexed

About

Minxin Shi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Minxin Shi has authored 26 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Minxin Shi's work include RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers) and Esophageal Cancer Research and Treatment (4 papers). Minxin Shi is often cited by papers focused on RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers) and Esophageal Cancer Research and Treatment (4 papers). Minxin Shi collaborates with scholars based in China, United States and Hong Kong. Minxin Shi's co-authors include Ji‐Bin Liu, Jing Cai, Haimin Lu, Yujie Jin, Jocelyn T. Kim, Jie Li, Roghiyh Aliyari, Jicai Zhang, Lili Li and Hung-Chih Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Minxin Shi

25 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minxin Shi China 11 125 75 74 57 52 26 364
Shaojie Yu China 12 129 1.0× 62 0.8× 52 0.7× 38 0.7× 25 0.5× 39 397
J. Li China 11 159 1.3× 85 1.1× 28 0.4× 29 0.5× 58 1.1× 45 481
Zhenhua Zhu China 11 145 1.2× 44 0.6× 48 0.6× 40 0.7× 25 0.5× 25 308
Dayue Liu China 11 141 1.1× 75 1.0× 84 1.1× 35 0.6× 19 0.4× 23 368
Lukas Tombor Germany 10 239 1.9× 55 0.7× 164 2.2× 22 0.4× 48 0.9× 20 520
Nathaniel K. Berg United States 8 200 1.6× 123 1.6× 21 0.3× 80 1.4× 26 0.5× 12 417
Adnan Khosravi Iran 11 120 1.0× 67 0.9× 41 0.6× 99 1.7× 135 2.6× 51 454
Qiuming Zeng China 10 142 1.1× 44 0.6× 74 1.0× 18 0.3× 63 1.2× 41 406
Sun Mi Kim South Korea 11 211 1.7× 73 1.0× 57 0.8× 179 3.1× 192 3.7× 22 521

Countries citing papers authored by Minxin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Minxin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minxin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Minxin Shi. A scholar is included among the top collaborators of Minxin Shi 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 Minxin Shi. Minxin Shi 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.
Yang, Ying, et al.. (2024). A novel model based on lipid metabolism-related genes associated with immune microenvironment predicts metastasis of breast cancer. Discover Oncology. 15(1). 372–372. 1 indexed citations
2.
3.
Zhang, Yonghui, Zhihao Jiang, Yi Zhou, et al.. (2023). Schwann cell-derived CXCL2 contributes to cancer pain by modulating macrophage infiltration in a mouse breast cancer model. Brain Behavior and Immunity. 109. 308–320. 27 indexed citations
4.
Liu, Yupeng, Tao Li, Chunlei Peng, et al.. (2022). Knockdown of Long Noncoding RNA LINC00240 Inhibits Esophageal Cancer Progression by Regulating miR‐26a‐5p. Contrast Media & Molecular Imaging. 2022(1). 1071627–1071627. 1 indexed citations
5.
Liu, Lei, Jia Wu, Minxin Shi, et al.. (2022). New Metabolic Alterations and a Predictive Marker Pipecolic Acid in Sera for Esophageal Squamous Cell Carcinoma. Genomics Proteomics & Bioinformatics. 20(4). 670–687. 15 indexed citations
6.
Li, Tao, Chunlei Peng, Minxin Shi, et al.. (2022). Overexpression of lncRNA A2M-AS1 inhibits cell growth and aggressiveness via regulating the miR-587/bone morphogenetic protein 3 axis in lung adenocarcinoma. Human & Experimental Toxicology. 41. 3520157211–3520157211. 4 indexed citations
7.
Fan, Yihui, Qing Wang, Minxin Shi, et al.. (2022). Circ_0020123 promotes NSCLC tumorigenesis via up-regulating KIAA1522 expression through miR-940. Cell Cycle. 21(9). 894–907. 7 indexed citations
8.
Chen, Saihua, Jianmei Gu, Minxin Shi, et al.. (2021). Competing endogenous RNA network for esophageal cancer progression. Annals of Translational Medicine. 9(18). 1473–1473. 6 indexed citations
9.
Li, Lili, Jie Li, Meiling Gao, et al.. (2021). Interleukin-8 as a Biomarker for Disease Prognosis of Coronavirus Disease-2019 Patients. Frontiers in Immunology. 11. 602395–602395. 105 indexed citations
10.
Li, Lili, Meiling Gao, Jie Li, et al.. (2021). Methods to Identify Immunogenic Peptides in SARS‐CoV‐2 Spike and Protective Monoclonal Antibodies in COVID‐19 Patients. Small Methods. 5(7). 2100058–2100058. 6 indexed citations
11.
Li, Tao, Jinbo Huang, Jun‐Guo Lu, et al.. (2020). Plasma thymidylate synthase and dihydrofolate reductase mRNA levels as potential predictive biomarkers of pemetrexed sensitivity in patients with advanced non-small cell lung cancer. Journal of Thoracic Disease. 12(12). 7313–7319. 2 indexed citations
12.
Cheng, Chun, Minxin Shi, Haimin Lu, et al.. (2020). miR-125b prevent the progression of esophageal squamous cell carcinoma through the p38-MAPK signaling pathway. Journal of Gastrointestinal Oncology. 11(6). 1113–1122. 5 indexed citations
13.
Ma, Yuting, Shuqing Zhang, Ziqi Jin, & Minxin Shi. (2020). Lipid-mediated regulation of the cancer-immune crosstalk. Pharmacological Research. 161. 105131–105131. 19 indexed citations
14.
15.
Liu, Lei, Minxin Shi, Zhiwei Wang, et al.. (2018). A molecular and staging model predicts survival in patients with resected non-small cell lung cancer. BMC Cancer. 18(1). 966–966. 13 indexed citations
16.
Liu, Ji‐Bin, et al.. (2016). Higher Caffeinated Coffee Intake Is Associated with Reduced Malignant Melanoma Risk: A Meta-Analysis Study. PLoS ONE. 11(1). e0147056–e0147056. 37 indexed citations
17.
Wang, Wei, Zhiwei Wang, Jun Zhao, et al.. (2016). A novel molecular and clinical staging model to predict survival for patients with esophageal squamous cell carcinoma. Oncotarget. 7(39). 63526–63536. 6 indexed citations
18.
Wang, Wei, Lei Liu, Zhiwei Wang, et al.. (2015). Impact of ABO blood group on the prognosis of patients undergoing surgery for esophageal cancer. BMC Surgery. 15(1). 106–106. 9 indexed citations
19.
Wang, Wei, Lei Liu, Zhiwei Wang, et al.. (2014). ABO blood group and esophageal carcinoma risk: from a case–control study in Chinese population to meta-analysis. Cancer Causes & Control. 25(10). 1369–1377. 14 indexed citations
20.
Liu, Chazhen, Minxin Shi, Ji‐Bin Liu, et al.. (2008). [Serum proteomic spectra of esophageal squamous cell carcinoma patients analyzed with IMAC3 protein chip].. PubMed. 27(3). 272–8. 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.

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