Zhong-qun Yan
- Immunology top 1%
- Atherosclerosis and Cardiovascular Diseases 15
- Immune Response and Inflammation 8
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 4
- Cancer Research top 5%
- NF-κB Signaling Pathways 7
- Epidemiology top 5%
- Physiology top 5%
- Nitric Oxide and Endothelin Effects 5
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- Inflammasome and immune disorders 4
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- Inflammatory mediators and NSAID effects 3
- Co-authors
- Göran K. HanssonKristina EdfeldtJesper SwedenborgUwe SchönbeckPeter LibbyGuro ValenDe-xiu BuMagnus Bäck
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Circulation (2 papers)Journal of the American College of Cardiology (1 paper)
- Partner nations
- SwedenUnited StatesChina
In The Last Decade
Zhong-qun Yan
32 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 2.1k
- Immunology and Allergy 262
- Cancer Research 416
- Epidemiology 783
- Physiology 543
Countries citing papers authored by Zhong-qun Yan
This map shows the geographic impact of Zhong-qun Yan'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 Zhong-qun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong-qun Yan more than expected).
Fields of papers citing papers by Zhong-qun Yan
This network shows the impact of papers produced by Zhong-qun Yan. 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 Zhong-qun Yan. The network helps show where Zhong-qun Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhong-qun Yan, 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 | 2015 | 22 | |
| 2 | 2013 | 40 | |
| 3 | 2013 | 27 | |
| 4 | 2011 | 33 | |
| 5 | 2011 | 19 | |
| 6 | 2011 | 40 | |
| 7 | 2007 | 11 | |
| 8 | 2006 | 121 | |
| 9 | 2006 | 8 | |
| 10 | 2005 | 182 | |
| 11 | 2005 | 6 | |
| 12 | 2004 | 92 | |
| 13 | Expression of toll-like receptors in human atherosclerotic lesions: a possible pathway for plaque activation.breakdown → | 2002 | 692 |
| 14 | 2002 | 40 | |
| 15 | 2001 | 379 | |
| 16 | 2001 | 27 | |
| 17 | 2001 | 63 | |
| 18 | Frequent amplification of the telomerase reverse transcriptase gene in human tumors. | 2000 | 122 |
| 19 | 1999 | 32 | |
| 20 | 1996 | 107 |
About Zhong-qun Yan
Zhong-qun Yan is a scholar working on Immunology, Immunology and Allergy and Cancer Research, having authored 32 papers that have together received 3.9k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (15 papers), Immune Response and Inflammation (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), NF-κB Signaling Pathways (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Inflammasome and immune disorders (4 papers), Cell Adhesion Molecules Research (4 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Immunology (2.1k citations), Immunology and Allergy (262 citations) and Cancer Research (416 citations). Zhong-qun Yan has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Göran K. Hansson, Kristina Edfeldt, Jesper Swedenborg, Uwe Schönbeck, Peter Libby, Guro Valen, De-xiu Bu, Magnus Bäck, Robert Bränström and Yuri Sheikine. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of the American College of Cardiology.
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.