Qing Shang
Impact in
- Rheumatology top 2%
- Spondyloarthritis Studies and Treatments
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Rheumatology 19
- Spondyloarthritis Studies and Treatments 11
- Systemic Lupus Erythematosus Research 5
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- Receptor Mechanisms and Signaling 6
- Co-authors
- Lai‐Shan Tam (22 shared papers)Cheuk‐Man Yu (17 shared papers)Tracy Y. Zhu (14 shared papers)E. W. Kun (11 shared papers)Martin Li (9 shared papers)Tena K. Li (9 shared papers)Edmund K. Li (9 shared papers)Gabriel Wai‐Kwok Yip (5 shared papers)
In The Last Decade
Qing Shang
92 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Rheumatology 448
- Immunology 274
- Paleontology 87
- Cardiology and Cardiovascular Medicine 190
- Psychiatry and Mental health 73
Countries citing papers authored by Qing Shang
This map shows the geographic impact of Qing Shang'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 Qing Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Shang more than expected).
Fields of papers citing papers by Qing Shang
This network shows the impact of papers produced by Qing Shang. 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 Qing Shang. The network helps show where Qing Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Shang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 114 | |
| 2 | 2012 | 57 | |
| 3 | 2008 | 53 | |
| 4 | 2014 | 49 | |
| 5 | 2011 | 45 | |
| 6 | 2017 | 42 | |
| 7 | 2009 | 41 | |
| 8 | 2014 | 41 | |
| 9 | 2015 | 41 | |
| 10 | 2012 | 39 | |
| 11 | 2011 | 39 | |
| 12 | 2015 | 33 | |
| 13 | 2015 | 32 | |
| 14 | 2012 | 31 | |
| 15 | 2017 | 29 | |
| 16 | 2017 | 29 | |
| 17 | 2012 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2012 | 25 | |
| 20 | 2015 | 25 |
About Qing Shang
Qing Shang is a scholar working on Rheumatology, Molecular Biology, Cellular and Molecular Neuroscience, Paleontology and Cardiology and Cardiovascular Medicine, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (11 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Cerebral Palsy and Movement Disorders (7 papers), Receptor Mechanisms and Signaling (6 papers), Evolution and Paleontology Studies (6 papers), Paleontology and Evolutionary Biology (6 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Rheumatology (448 citations), Immunology (274 citations), Paleontology (87 citations), Cardiology and Cardiovascular Medicine (190 citations) and Psychiatry and Mental health (73 citations). Qing Shang has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Lai‐Shan Tam, Cheuk‐Man Yu, Tracy Y. Zhu, E. W. Kun, Martin Li, Tena K. Li, Edmund K. Li, Gabriel Wai‐Kwok Yip, John E. Sanderson and Jiayun Shen. Their work appears in journals such as Annals of the Rheumatic Diseases, The Journal of Rheumatology, International Journal of Cardiology, Neuroreport and Lara D. Veeken.
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.