Guo‐Ping Shi
- Cancer Research top 0.1%
- Protease and Inhibitor Mechanisms 62
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 25
- Immunology top 0.2%
- Mast cells and histamine 30
- Immune Cell Function and Interaction 27
- Atherosclerosis and Cardiovascular Diseases 22
- Immune cells in cancer 14
- Molecular Biology top 0.5%
- Rheumatology top 0.5%
-
- Aortic aneurysm repair treatments 25
-
- Blood Coagulation and Thrombosis Mechanisms 13
- Co-authors
- Harold A. ChapmanPeter LibbyGalina K. SukhovaRichard J. RieseJiusong SunBruce D. GelbRobert J. DesnickJunyan Xu
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (12 papers)Circulation (12 papers)Journal of Clinical Investigation (7 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Guo‐Ping Shi
263 papers receiving 17.8k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cancer Research 5.0k
- Immunology and Allergy 1.6k
- Immunology 5.4k
- Molecular Biology 6.6k
- Rheumatology 1.4k
Countries citing papers authored by Guo‐Ping Shi
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
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
The 25 scholars most cited alongside Guo‐Ping Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 34 | |
| 9 | 2023 | 76 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 129 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 51 | |
| 17 | 2017 | 22 | |
| 18 | 2016 | 57 | |
| 19 | 2011 | 52 | |
| 20 | 2008 | 48 |
About Guo‐Ping Shi
Guo‐Ping Shi is a scholar working on Cancer Research, Immunology and Immunology and Allergy, having authored 266 papers that have together received 18.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (62 papers), Mast cells and histamine (30 papers), Immune Cell Function and Interaction (27 papers), Aortic aneurysm repair treatments (25 papers), Cell Adhesion Molecules Research (25 papers), Atherosclerosis and Cardiovascular Diseases (22 papers), Immune cells in cancer (14 papers) and Blood Coagulation and Thrombosis Mechanisms (13 papers). The work is most often cited by research in Cancer Research (5.0k citations), Immunology and Allergy (1.6k citations) and Immunology (5.4k citations). Guo‐Ping Shi has collaborated with scholars based in United States, China and Japan. Frequent 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. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Journal of Clinical Investigation, Cardiovascular Research and The Journal of Immunology.
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.