Guo‐Ping Shi

23.8k citations
266 papers · 18.1k indexed · 5 hit papers · h-index 72

Guo‐Ping Shi

263 papers receiving 17.8k citations

Hit Papers

Carcinoma-associated ...5681996202620062016250500750

Peers

Guo‐Ping Shi
Comparison fields: 5 of 162
  • Cancer Research 5.0k
  • Immunology and Allergy 1.6k
  • Immunology 5.4k
  • Molecular Biology 6.6k
  • Rheumatology 1.4k
Replace Roy L. Silverstein with:
Roy L. Silverstein United States
Victor J. Thannickal United States
Mauro Perretti United Kingdom
Galina K. Sukhova United States
Elaine W. Raines United States
Stephen M. Prescott United States
Adriana Albini Italy
Kathryn J. Moore United States
Thomas M. McIntyre United States
Josef Pfeilschifter Germany
Guo‐Ping Shi relative to Roy L. Silverstein United States Roy L. Silverstein's profile →
Citations per field
00.5×1.5×
Roy L. Silverstein · 1×
Citations per year

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

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.

Border = papers with Guo‐Ping Shi Line = papers co-authored together Guo‐Ping Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202412
4 202417
5 20249
6 20241
7 202312
8 202334
9 202376
10 202212
11 202217
12 202219
13 202121
14 2021129
15 202117
16 202051
17 201722
18 201657
19 201152
20 200848

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.

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