Qun Wang
Impact in
- Biological Psychiatry top 1%
- Immunology top 0.5%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
Papers in
-
- Advanced biosensing and bioanalysis techniques 20
- Immunology 129
- Invertebrate Immune Response Mechanisms 78
- Aquaculture disease management and microbiota 51
- Co-authors
- Weiwei Li (68 shared papers)Jian‐Zhi Wang (26 shared papers)Gong‐Ping Liu (22 shared papers)Lin He (37 shared papers)Xingkun Jin (28 shared papers)Dennis L. Kasper (2 shared papers)Arthur O. Tzianabos (2 shared papers)Brian A. Cobb (2 shared papers)
- Journals
- Fish & Shellfish Immunology (37 papers)PLoS ONE (16 papers)Gene (13 papers)Journal of Alzheimer s Disease (9 papers)Scientific Reports (7 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qun Wang
644 papers receiving 16.3k citations
Peers
Comparison fields: 5 of 179
- Biological Psychiatry 326
- Immunology 2.9k
- Aquatic Science 680
- Molecular Biology 5.8k
- Microbiology 510
Countries citing papers authored by Qun Wang
This map shows the geographic impact of Qun 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 Qun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Wang more than expected).
Fields of papers citing papers by Qun Wang
This network shows the impact of papers produced by Qun 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 Qun Wang. The network helps show where Qun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qun 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
Showing the 20 most-cited of 659 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 269 | |
| 2 | 2006 | 228 | |
| 3 | 2021 | 214 | |
| 4 | 2007 | 210 | |
| 5 | 2010 | 181 | |
| 6 | 2021 | 161 | |
| 7 | 2019 | 157 | |
| 8 | 2004 | 154 | |
| 9 | 2018 | 151 | |
| 10 | 2020 | 143 | |
| 11 | 2002 | 143 | |
| 12 | 2020 | 143 | |
| 13 | 2007 | 140 | |
| 14 | 2016 | 140 | |
| 15 | 2012 | 136 | |
| 16 | 2018 | 132 | |
| 17 | 2016 | 127 | |
| 18 | 2020 | 125 | |
| 19 | 2014 | 122 | |
| 20 | 2017 | 118 |
About Qun Wang
Qun Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 659 papers that have together received 16.5k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (78 papers), Aquaculture disease management and microbiota (51 papers), Antimicrobial Peptides and Activities (30 papers), Neurobiology and Insect Physiology Research (24 papers), Alzheimer's disease research and treatments (23 papers), Aquaculture Nutrition and Growth (22 papers), Crustacean biology and ecology (21 papers) and Advanced biosensing and bioanalysis techniques (20 papers). The work is most often cited by research in Biological Psychiatry (326 citations), Immunology (2.9k citations), Aquatic Science (680 citations), Molecular Biology (5.8k citations) and Microbiology (510 citations). Qun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiwei Li, Jian‐Zhi Wang, Gong‐Ping Liu, Lin He, Xingkun Jin, Dennis L. Kasper, Arthur O. Tzianabos, Brian A. Cobb, Qing Tian and Hui Jiang. Their work appears in journals such as Fish & Shellfish Immunology, PLoS ONE, Gene, Journal of Alzheimer s Disease 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.