Guo‐Ping Shi

23.8k total citations · 5 hit papers
266 papers, 18.1k citations indexed

About

Guo‐Ping Shi is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Guo‐Ping Shi has authored 266 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Immunology, 87 papers in Molecular Biology and 79 papers in Cancer Research. Recurrent topics in Guo‐Ping Shi's work include Protease and Inhibitor Mechanisms (62 papers), Mast cells and histamine (30 papers) and Immune Cell Function and Interaction (27 papers). Guo‐Ping Shi is often cited by papers focused on Protease and Inhibitor Mechanisms (62 papers), Mast cells and histamine (30 papers) and Immune Cell Function and Interaction (27 papers). Guo‐Ping Shi collaborates with scholars based in United States, China and Japan. Guo‐Ping Shi's co-authors include Harold A. Chapman, Peter Libby, Galina K. Sukhova, Richard J. Riese, Jiusong Sun, Bruce D. Gelb, Robert J. Desnick, Junyan Xu, Hidde L. Ploegh and John S. Munger and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Guo‐Ping Shi

263 papers receiving 17.8k citations

Hit Papers

Pycnodysostosis, a Lysosomal Disease Caused by Cathepsin ... 1996 2026 2006 2016 1996 1997 2009 2018 1998 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
Guo‐Ping Shi United States 72 6.6k 5.4k 5.0k 2.2k 2.2k 266 18.1k
Roy L. Silverstein United States 79 11.7k 1.8× 7.8k 1.4× 3.6k 0.7× 1.2k 0.6× 2.2k 1.0× 209 24.0k
Elaine W. Raines United States 72 10.4k 1.6× 5.2k 1.0× 3.4k 0.7× 2.0k 0.9× 3.1k 1.4× 142 23.3k
Thomas M. McIntyre United States 89 10.1k 1.5× 5.8k 1.1× 2.7k 0.5× 1.5k 0.7× 1.9k 0.9× 240 26.2k
Victor W.M. van Hinsbergh Netherlands 71 5.6k 0.8× 2.3k 0.4× 2.7k 0.5× 1.8k 0.8× 1.4k 0.6× 260 16.2k
Jean‐Michel Dayer Switzerland 74 4.9k 0.7× 7.2k 1.3× 2.3k 0.5× 1.7k 0.8× 2.8k 1.3× 223 20.4k
Stephen M. Prescott United States 89 9.1k 1.4× 6.1k 1.1× 2.7k 0.5× 1.5k 0.7× 2.3k 1.1× 233 25.6k
Paul P. Tak Netherlands 96 8.6k 1.3× 11.8k 2.2× 3.1k 0.6× 1.0k 0.5× 4.5k 2.0× 459 33.5k
Søren K. Moestrup Denmark 85 7.7k 1.2× 3.9k 0.7× 2.1k 0.4× 1.3k 0.6× 1.8k 0.8× 246 20.0k
Andrew S. Weyrich United States 70 4.1k 0.6× 4.1k 0.7× 1.6k 0.3× 1.4k 0.7× 1.9k 0.9× 169 15.2k
Morley D. Hollenberg Canada 78 6.9k 1.0× 3.3k 0.6× 2.8k 0.6× 1.0k 0.5× 1.7k 0.8× 425 20.8k

Countries citing papers authored by Guo‐Ping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Ping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Ping Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Ping Shi. A scholar is included among the top collaborators of Guo‐Ping 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 Guo‐Ping Shi. Guo‐Ping 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.
Zhong, Lingfeng, Shanshan Dai, Fan Yu, et al.. (2025). Cardiomyocyte‐Enriched USP20 Ameliorates Pathological Cardiac Hypertrophy by Targeting STAT3 Deubiquitination. Advanced Science. 12(23). e2416478–e2416478.
2.
Lin, Kaiyang, Xia Gu, Junyan Xu, et al.. (2024). Changes in Blood Eosinophil Counts Predict the Death of Patients With Myocardial Infarction After Hospital Discharge. Journal of the American Heart Association. 14(1). e035383–e035383. 1 indexed citations
3.
Wan, Ying, Limei Piao, Shengnan Xu, et al.. (2023). Cathepsin S deficiency improves muscle mass loss and dysfunction via the modulation of protein metabolism in mice under pathological stress conditions. The FASEB Journal. 37(8). e23086–e23086. 12 indexed citations
4.
Xu, Shengnan, Limei Piao, Ying Wan, et al.. (2023). CTSS Modulates Stress-Related Carotid Artery Thrombosis in a Mouse FeCl 3 Model. Arteriosclerosis Thrombosis and Vascular Biology. 43(7). e238–e253. 19 indexed citations
5.
Wang, Yuji, Zhihua Lü, Lin Tian, et al.. (2023). Wumei Wan attenuates angiogenesis and inflammation by modulating RAGE signaling pathway in IBD: Network pharmacology analysis and experimental evidence. Phytomedicine. 111. 154658–154658. 76 indexed citations
6.
Guo, Junli, Yuanyuan Zhang, Tianxiao Liu, et al.. (2022). Allergic asthma is a risk factor for human cardiovascular diseases. Nature Cardiovascular Research. 1(5). 417–430. 17 indexed citations
7.
Zhang, Xian, Songyuan Luo, Minjie Wang, et al.. (2022). Differential IL18 signaling via IL18 receptor and Na-Cl co-transporter discriminating thermogenesis and glucose metabolism regulation. Nature Communications. 13(1). 7582–7582. 19 indexed citations
8.
Zhang, Hui, Yin‐Sheng Zhu, Meng Hao, et al.. (2021). The Modified Healthy Ageing Index Is Associated with Mortality and Disability: The Rugao Longevity and Ageing Study. Gerontology. 67(5). 572–580. 4 indexed citations
9.
Shi, Guo‐Ping, Dan Li, Dongya Zhang, et al.. (2021). IRF-8/miR-451a regulates M-MDSC differentiation via the AMPK/mTOR signal pathway during lupus development. Cell Death Discovery. 7(1). 179–179. 17 indexed citations
10.
Ding, Yang, Fan Bu, Tuo Chen, et al.. (2021). A next-generation probiotic: Akkermansia muciniphila ameliorates chronic stress–induced depressive-like behavior in mice by regulating gut microbiota and metabolites. Applied Microbiology and Biotechnology. 105(21-22). 8411–8426. 129 indexed citations
11.
Liu, Tianxiao, Songyuan Luo, Peter Libby, & Guo‐Ping Shi. (2020). Cathepsin L-selective inhibitors: A potentially promising treatment for COVID-19 patients. Pharmacology & Therapeutics. 213. 107587–107587. 194 indexed citations
12.
Qi, Jingjing, Dan Li, Guo‐Ping Shi, et al.. (2018). Myeloid-derived suppressor cells exacerbate Sjögren’s syndrome by inhibiting Th2 immune responses. Molecular Immunology. 101. 251–258. 16 indexed citations
13.
Shi, Guo‐Ping, Teng Ma, Yin‐Sheng Zhu, et al.. (2018). Frailty phenotype, frailty index and risk of mortality in Chinese elderly population- Rugao longevity and ageing study. Archives of Gerontology and Geriatrics. 80. 115–119. 29 indexed citations
14.
Satyam, Abhigyan, Lakshmi Kannan, Naoya Matsumoto, et al.. (2016). Intracellular Activation of Complement 3 Is Responsible for Intestinal Tissue Damage during Mesenteric Ischemia. The Journal of Immunology. 198(2). 788–797. 57 indexed citations
15.
Jiang, Haiying, Xian Wu Cheng, Guo‐Ping Shi, et al.. (2014). Cathepsin K-mediated notch1 activation contributes to neovascularization in response to hypoxia. Nature Communications. 5(1). 3838–3838. 75 indexed citations
16.
Zhang, Jie, Huimei Chen, Li Liu, et al.. (2012). Chemokine (C-C motif) receptor 2 mediates mast cell migration to abdominal aortic aneurysm lesions in mice. Cardiovascular Research. 96(3). 543–551. 33 indexed citations
17.
Xia, Mingcan, Nadia Guerra, Galina K. Sukhova, et al.. (2011). Immune Activation Resulting From NKG2D/Ligand Interaction Promotes Atherosclerosis. Circulation. 124(25). 2933–2943. 52 indexed citations
18.
Cheng, Xian Wu, Toyoaki Murohara, Masafumi Kuzuya, et al.. (2008). Superoxide-Dependent Cathepsin Activation Is Associated with Hypertensive Myocardial Remodeling and Represents a Target for Angiotensin II Type 1 Receptor Blocker Treatment. American Journal Of Pathology. 173(2). 358–369. 48 indexed citations
19.
Hirakawa, Hiroshi, Richard A. Pierce, Çağatay Karaaslan, et al.. (2007). Cathepsin S Deficiency Confers Protection from Neonatal Hyperoxia-induced Lung Injury. American Journal of Respiratory and Critical Care Medicine. 176(8). 778–785. 36 indexed citations
20.
Silverman, Eric S., George T. De Sanctis, Joshua A. Boyce, et al.. (2001). The Transcription Factor Early Growth-response Factor 1 Modulates Tumor Necrosis Factor- α, Immunoglobulin E, and Airway Responsiveness in Mice. American Journal of Respiratory and Critical Care Medicine. 163(3). 778–785. 42 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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