Long Shi

877 total citations
38 papers, 643 citations indexed

About

Long Shi is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Long Shi has authored 38 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Long Shi's work include Liver Disease Diagnosis and Treatment (5 papers), CAR-T cell therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Long Shi is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), CAR-T cell therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Long Shi collaborates with scholars based in China, United States and Switzerland. Long Shi's co-authors include Xinyi Wu, Xiaoming Yu, Zhilong Zhao, Hongling Yang, Jianhui Cai, Yong‐Doo Park, Zexian Fu, Wei Zhang, Shaohui Zhang and Daeui Park and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Long Shi

35 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Shi China 14 256 172 82 72 68 38 643
Islam Osman United States 14 353 1.4× 201 1.2× 84 1.0× 42 0.6× 74 1.1× 29 782
Tomofumi Fujino Japan 14 311 1.2× 183 1.1× 74 0.9× 77 1.1× 54 0.8× 27 692
Barbara De Servi France 12 364 1.4× 68 0.4× 95 1.2× 95 1.3× 24 0.4× 24 747
Lina Wu China 21 667 2.6× 83 0.5× 88 1.1× 49 0.7× 130 1.9× 53 1.0k
Lei Gong China 15 378 1.5× 158 0.9× 73 0.9× 24 0.3× 70 1.0× 45 700
Yuanyuan Chen China 16 607 2.4× 108 0.6× 96 1.2× 49 0.7× 61 0.9× 43 958
Cheng Zeng China 5 402 1.6× 137 0.8× 190 2.3× 49 0.7× 69 1.0× 11 1.0k
Chun‐Chi Wu Taiwan 18 265 1.0× 108 0.6× 61 0.7× 34 0.5× 30 0.4× 30 875
Wonbeak Yoo South Korea 15 275 1.1× 151 0.9× 141 1.7× 34 0.5× 199 2.9× 29 752

Countries citing papers authored by Long Shi

Since Specialization
Citations

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

Fields of papers citing papers by Long Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Long Shi. A scholar is included among the top collaborators of Long 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 Long Shi. Long 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.
Lu, Ming, Yan Zhang, Long Shi, et al.. (2025). Association of Blood Cell-Derived Inflammatory Markers with Symptoms and Short-Term Treatment Response in Late-Life Depression. Neuropsychiatric Disease and Treatment. Volume 21. 1751–1760.
2.
Shi, Long, et al.. (2024). An analytical solution for internal forces of shallow circular low-to-vacuum tunnel linings in soft soils. Scientific Reports. 14(1). 31436–31436. 1 indexed citations
3.
Zhang, Jie, et al.. (2024). Decision Transformer for IRS-Assisted Systems with Diffusion-Driven Generative Channels. 1211–1216. 1 indexed citations
4.
Wu, Yongqiang, et al.. (2023). Rapid generation of CD19 CAR-T cells by minicircle DNA enables anti-tumor activity and prevents fatal CAR-B leukemia. Cancer Letters. 568. 216278–216278. 5 indexed citations
5.
Sun, Huanhuan, et al.. (2022). Dl-3-n-Butylphthalide (NBP) Mitigates Muscular Injury Induced by Limb Ischemia/Reperfusion in Mice through the HMGB1/TLR4/NF-κB Pathway. Evidence-based Complementary and Alternative Medicine. 2022. 1–8. 5 indexed citations
6.
Yang, Ni, et al.. (2021). Protective Role of Sulodexide on Renal Injury Induced by Limb Ischemia-Reperfusion. Evidence-based Complementary and Alternative Medicine. 2021. 1–9. 5 indexed citations
7.
Dietrich, Christoph F., Long Shi, Axel Löwe, et al.. (2021). Conventional ultrasound for diagnosis of hepatic steatosis is better than believed. Zeitschrift für Gastroenterologie. 60(8). 1235–1248. 17 indexed citations
8.
Dietrich, Christoph F., Long Shi, Qi Wei, et al.. (2021). What does liver elastography measure? Technical aspects and methodology. Minerva Gastroenterology. 67(2). 129–140. 7 indexed citations
9.
Li, Jun, Zijing Wang, Shugang Li, et al.. (2020). Interobserver agreement for contrast-enhanced ultrasound of liver imaging reporting and data system: A systematic review and meta-analysis. World Journal of Clinical Cases. 8(22). 5589–5602. 8 indexed citations
10.
Shi, Long, et al.. (2019). Disruption of CTLA-4 expression on peripheral blood CD8 + T cell enhances anti-tumor efficacy in bladder cancer. Cancer Chemotherapy and Pharmacology. 83(5). 911–920. 60 indexed citations
11.
Shi, Long, et al.. (2019). Adenovirus-mediated down-regulation of miR-21-5p alleviates experimental autoimmune uveoretinitis in mice. International Immunopharmacology. 74. 105698–105698. 14 indexed citations
12.
Shi, Long, et al.. (2017). CRISPR knock out CTLA-4 enhances the anti-tumor activity of cytotoxic T lymphocytes. Gene. 636. 36–41. 51 indexed citations
13.
14.
Zhang, Xin, Long Shi, Xuan Li, et al.. (2014). Effect of Ca2+ on the activity and structure of α-glucosidase: Inhibition kinetics and molecular dynamics simulations. Journal of Bioscience and Bioengineering. 117(6). 696–705. 17 indexed citations
15.
Shi, Long, Hongmei Chen, Xiaoming Yu, & Xinyi Wu. (2013). Advanced glycation end products delay corneal epithelial wound healing through reactive oxygen species generation. Molecular and Cellular Biochemistry. 383(1-2). 253–259. 38 indexed citations
16.
Shi, Long, Xiaoming Yu, Hongling Yang, & Xinyi Wu. (2013). Advanced Glycation End Products Induce Human Corneal Epithelial Cells Apoptosis through Generation of Reactive Oxygen Species and Activation of JNK and p38 MAPK Pathways. PLoS ONE. 8(6). e66781–e66781. 93 indexed citations
17.
Shi, Long, Yuan Chang, Yongmei Yang, et al.. (2012). Activation of JNK Signaling Mediates Connective Tissue Growth Factor Expression and Scar Formation in Corneal Wound Healing. PLoS ONE. 7(2). e32128–e32128. 45 indexed citations
18.
Shi, Long, Yong Xia, Ming Zhang, et al.. (2011). Trifluoroethanol-induced Activity and Structural Changes in Bos taurus Copper- and Zinc-containing Superoxide Dismutase. Protein and Peptide Letters. 18(7). 726–732. 3 indexed citations
19.
Wang, Jun, Zhi-Rong Lü, Daeui Park, et al.. (2009). Alpha-Glucosidase Folding During Urea Denaturation: Enzyme Kinetics and Computational Prediction. Applied Biochemistry and Biotechnology. 160(5). 1341–1355. 20 indexed citations
20.
Lü, Zhi-Rong, Seong Jin Park, Daeui Park, et al.. (2008). The effects of acrylamide on brain creatine kinase: Inhibition kinetics and computational docking simulation. International Journal of Biological Macromolecules. 44(2). 128–132. 9 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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