Congzhu Shi
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 2
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases 3
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 2
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- Gene expression and cancer classification 2
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- Neuroscience and Neural Engineering 1
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- Blood properties and coagulation 1
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- Cholesterol and Lipid Metabolism 1
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- Genetic Associations and Epidemiology 1
- Co-authors
- Peter F. DaviesElisabetta ManduchiYun FangMete CivelekDenise C. PolacekAnthony G. PasseriniChristian J. StoeckertGregory R. Grant
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cardiovascular Pathology (1 paper)Journal of Bone and Mineral Research (1 paper)
- Partner nations
- United StatesIndiaRussia
In The Last Decade
Congzhu Shi
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 316
- Immunology 222
- Immunology and Allergy 61
- Molecular Biology 603
- Cardiology and Cardiovascular Medicine 177
Countries citing papers authored by Congzhu Shi
This map shows the geographic impact of Congzhu 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 Congzhu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congzhu Shi more than expected).
Fields of papers citing papers by Congzhu Shi
This network shows the impact of papers produced by Congzhu 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 Congzhu Shi. The network helps show where Congzhu Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Congzhu 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 | 2010 | 365 | |
| 2 | 2009 | 13 | |
| 3 | 2005 | 9 | |
| 4 | 2005 | 58 | |
| 5 | 2004 | 275 | |
| 6 | 2004 | 13 | |
| 7 | 2003 | 92 | |
| 8 | 2002 | 67 | |
| 9 | 2001 | 87 | |
| 10 | 1996 | 11 | |
| 11 | 1993 | 24 |
About Congzhu Shi
Congzhu Shi is a scholar working on Immunology and Allergy, Immunology and Cancer Research, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Cancer-related molecular mechanisms research (2 papers), Cell Adhesion Molecules Research (2 papers), Gene expression and cancer classification (2 papers), Neuroscience and Neural Engineering (1 paper), Blood properties and coagulation (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Cancer Research (316 citations), Immunology (222 citations) and Immunology and Allergy (61 citations). Congzhu Shi has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Peter F. Davies, Elisabetta Manduchi, Yun Fang, Mete Civelek, Denise C. Polacek, Anthony G. Passerini, Christian J. Stoeckert, Gregory R. Grant, Brian P. Helmke and Steven J. Powell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cardiovascular Pathology, Journal of Bone and Mineral Research, Annals of the New York Academy of Sciences and American Journal of Physiology-Heart and Circulatory Physiology.
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.