Qingde Wang
Impact in
- Clinical Biochemistry top 0.5%
- Advanced Glycation End Products research
- Molecular Biology top 2%
- RNA regulation and disease
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
- Immunology 22
- interferon and immune responses 13
- Immune Response and Inflammation 6
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- Advanced Glycation End Products research 6
- Co-authors
- Kazuko NishikuraWeidong YangChunxia ChenTimothy R. BilliarPeter H. SeeburgThimmaiah P. ChendrimadaRamin ShiekhattarMiyoko Higuchi
- Journals
- The Journal of Immunology (3 papers)Journal of Biological Chemistry (3 papers)Journal of Neuroinflammation (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Qingde Wang
42 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Clinical Biochemistry 437
- Molecular Biology 2.6k
- Cancer Research 567
- Immunology 722
- Neurology 154
Countries citing papers authored by Qingde Wang
This map shows the geographic impact of Qingde Wang'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 Qingde Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingde Wang more than expected).
Fields of papers citing papers by Qingde Wang
This network shows the impact of papers produced by Qingde Wang. 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 Qingde Wang. The network helps show where Qingde Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingde Wang, 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 | 1 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 27 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 35 | |
| 10 | 2019 | 27 | |
| 11 | 2016 | 32 | |
| 12 | 2015 | 48 | |
| 13 | HMGB1 in health and disease Hit paper breakdown → | 2014 | 787 |
| 14 | 2013 | 11 | |
| 15 | 2012 | 26 | |
| 16 | 2011 | 34 | |
| 17 | 2011 | 14 | |
| 18 | 2004 | 408 | |
| 19 | 2004 | 74 | |
| 20 | 2000 | 168 |
About Qingde Wang
Qingde Wang is a scholar working on Immunology, Clinical Biochemistry, Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA regulation and disease (27 papers), RNA Research and Splicing (21 papers), interferon and immune responses (13 papers), Viral Infections and Immunology Research (6 papers), Immune Response and Inflammation (6 papers), Advanced Glycation End Products research (6 papers), CRISPR and Genetic Engineering (5 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (437 citations), Molecular Biology (2.6k citations), Cancer Research (567 citations), Immunology (722 citations) and Neurology (154 citations). Qingde Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kazuko Nishikura, Weidong Yang, Chunxia Chen, Timothy R. Billiar, Peter H. Seeburg, Thimmaiah P. Chendrimada, Ramin Shiekhattar, Miyoko Higuchi, Kenneth C. Carter and Fang Lai. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Neuroinflammation, Arteriosclerosis Thrombosis and Vascular Biology and Scientific Reports.
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.