Jun Shi

2.8k total citations · 1 hit paper
60 papers, 2.0k citations indexed

About

Jun Shi is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Jun Shi has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 14 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Jun Shi's work include Dialysis and Renal Disease Management (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Jun Shi is often cited by papers focused on Dialysis and Renal Disease Management (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Jun Shi collaborates with scholars based in China, Hong Kong and United States. Jun Shi's co-authors include Manshu Yu, Meixiao Sheng, Konstantin V. Kandror, Baoping Chen, Yali Ma, Shiying Wang, Suxia Yang, Zhiqiang Sun, Pei‐Kuen Wei and Fang Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Developmental Cell.

In The Last Decade

Jun Shi

55 papers receiving 2.0k citations

Hit Papers

Angiogenesis and Inflammation in Peritoneal Dialysis: The... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Shi China 21 714 356 333 312 295 60 2.0k
Daiji Kawanami Japan 28 1.2k 1.6× 340 1.0× 532 1.6× 465 1.5× 206 0.7× 81 2.7k
M.J. López-Armada Spain 29 1.1k 1.6× 238 0.7× 225 0.7× 415 1.3× 217 0.7× 60 3.0k
Midori Fujishiro Japan 29 1.2k 1.6× 418 1.2× 591 1.8× 192 0.6× 257 0.9× 79 2.4k
Daisuke Nagata Japan 25 1.3k 1.8× 601 1.7× 241 0.7× 418 1.3× 150 0.5× 118 2.5k
Akihiro Nakajima Japan 26 874 1.2× 510 1.4× 170 0.5× 128 0.4× 298 1.0× 108 2.3k
Carlo Pesce Italy 28 794 1.1× 310 0.9× 183 0.5× 337 1.1× 188 0.6× 84 2.4k
Mi Ra Yu South Korea 24 887 1.2× 346 1.0× 165 0.5× 586 1.9× 153 0.5× 41 2.1k
Naohiro Yano United States 26 819 1.1× 168 0.5× 181 0.5× 242 0.8× 170 0.6× 86 1.8k
Guijun Qin China 24 553 0.8× 220 0.6× 426 1.3× 208 0.7× 159 0.5× 88 1.7k
Ruiming Rong China 28 884 1.2× 339 1.0× 225 0.7× 344 1.1× 231 0.8× 103 2.2k

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shi. A scholar is included among the top collaborators of Jun 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 Jun Shi. Jun 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.
Li, Chang, et al.. (2025). Ferroptosis in NAFLD: insights and the therapeutic potential of exercise. Frontiers in Medicine. 12. 1462145–1462145. 5 indexed citations
2.
Yang, Lei, Kun Cao, Qian Hu, et al.. (2023). Novel virulence factor Cba induces antibody-dependent enhancement (ADE) of Streptococcus suis Serotype 9 infection in a mouse model. Frontiers in Cellular and Infection Microbiology. 13. 1027419–1027419.
3.
Zhang, Wei, et al.. (2022). Differentially Expressed Genes Reveal the Biomarkers and Molecular Mechanism of Osteonecrosis. Journal of Healthcare Engineering. 2022. 1–8. 6 indexed citations
4.
Tang, Bo, Dongning Liu, Qunguang Jiang, et al.. (2022). Male urogenital function after robot-assisted and laparoscopic total mesorectal excision for rectal cancer: a prospective cohort study. BMC Surgery. 22(1). 185–185. 8 indexed citations
5.
Yu, Jianzhong, Jun Shi, Fang Yuan, et al.. (2022). Kavain ablates the radio-resistance of IDH-wildtype glioblastoma by targeting LITAF/NF-κB pathway. Cellular Oncology. 46(1). 179–193. 4 indexed citations
6.
Shi, Jun, et al.. (2020). Circulating Tumor Cells as a Biomarker to Assist Molecular Diagnosis for Early Stage Non-Small Cell Lung Cancer. SHILAP Revista de lepidopterología. 3 indexed citations
7.
Shi, Jun, et al.. (2020). Loss of PI3 kinase association improves the sensitivity of secondary mutation of KIT to Imatinib. Cell & Bioscience. 10(1). 16–16. 8 indexed citations
8.
Shi, Jun, et al.. (2019). Risk factors for 30-day unplanned reoperation after pancreatoduodenectomy: A single-center experience. Journal of Cancer Research and Therapeutics. 15(7). 1530–1530. 8 indexed citations
9.
Li, Qing, Min Zheng, Yueheng Liu, et al.. (2018). A pathogenetic role for M1 macrophages in peritoneal dialysis-associated fibrosis. Molecular Immunology. 94. 131–139. 33 indexed citations
10.
Shi, Jun, et al.. (2017). Diversity of endophytic fungi in Bletilla striata.. Acta Agriculturae Zhejiangensis. 29(12). 2077–2083. 1 indexed citations
11.
Wu, Jinghua, Jun Shi, Hui Wang, et al.. (2017). CMA down-regulates p53 expression through degradation of HMGB1 protein to inhibit irradiation-triggered apoptosis in hepatocellular carcinoma. World Journal of Gastroenterology. 23(13). 2308–2308. 27 indexed citations
12.
Shi, Jun, et al.. (2016). The Role of TLR4 in M1 Macrophage-Induced Epithelial-Mesenchymal Transition of Peritoneal Mesothelial Cells. Cellular Physiology and Biochemistry. 40(6). 1538–1548. 30 indexed citations
13.
Zhai, Lixiang, et al.. (2015). Ex Vivo and In Situ Evaluation of ‘Dispelling-Wind’ Chinese Medicine Herb-Drugs on Intestinal Absorption of Chlorogenic Acid. Phytotherapy Research. 29(12). 1974–1981. 16 indexed citations
14.
Shi, Jun & Pei‐Kuen Wei. (2015). Low-dose interleukin-8 induces the adhesion, migration and invasion of the gastric cancer SGC-7901 cell line. Oncology Letters. 10(5). 2871–2877. 7 indexed citations
15.
Shi, Jun, et al.. (2015). Analysis of regulatory T cell subsets in the peripheral blood of immunoglobulin A nephropathy (IgAN) patients. Genetics and Molecular Research. 14(4). 14088–14092. 17 indexed citations
16.
Liu, Yu, Jun Shi, & Xiaoning Chen. (2015). Identification of novel targets for seasonal allergic rhinitis during and outside the pollen season by microarray analysis. Acta Oto-Laryngologica. 135(12). 1330–1336. 8 indexed citations
18.
Shi, Jun, Qingfei Liu, Yiming Wang, & Guoan Luo. (2010). Coadministration of huperzine A and ligustrazine phosphate effectively reverses scopolamine-induced amnesia in rats. Pharmacology Biochemistry and Behavior. 96(4). 449–453. 32 indexed citations
19.
Shi, Jun & Konstantin V. Kandror. (2005). Sortilin Is Essential and Sufficient for the Formation of Glut4 Storage Vesicles in 3T3-L1 Adipocytes. Developmental Cell. 9(1). 99–108. 163 indexed citations
20.
Li, Xiao, Yizhi Liu, Ying Tao, et al.. (2003). [Relationship between macrophages and apoptosis in patients with myelodysplastic syndromes].. PubMed. 32(3). 226–9.

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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