Wen Dang
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Antifungal resistance and susceptibility
Papers in
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- Antimicrobial Peptides and Activities 9
-
- Viral gastroenteritis research and epidemiology 7
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Kairong Wang (9 shared papers)Jiexi Yan (8 shared papers)Bangzhi Zhang (7 shared papers)Ru Chen (6 shared papers)Qiuwei Pan (8 shared papers)Yuebang Yin (8 shared papers)Maikel Petrus Peppelenbosch (8 shared papers)Junqiu Xie (5 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (5 papers)Antiviral Research (4 papers)Journal of Virology (2 papers)Peptides (2 papers)Microbiology Spectrum (1 paper)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Wen Dang
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 60
- Microbiology 303
- Infectious Diseases 148
- Immunology 74
- Neurology 39
- Animal Science and Zoology 20
Countries citing papers authored by Wen Dang
This map shows the geographic impact of Wen Dang'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 Wen Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Dang more than expected).
Fields of papers citing papers by Wen Dang
This network shows the impact of papers produced by Wen Dang. 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 Wen Dang. The network helps show where Wen Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Dang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 167 | |
| 2 | 2012 | 112 | |
| 3 | 2015 | 103 | |
| 4 | 2017 | 60 | |
| 5 | 2014 | 58 | |
| 6 | 2016 | 51 | |
| 7 | 2019 | 48 | |
| 8 | 2011 | 45 | |
| 9 | 2018 | 45 | |
| 10 | 2012 | 43 | |
| 11 | 2019 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 2018 | 42 | |
| 14 | 2013 | 41 | |
| 15 | 2022 | 38 | |
| 16 | 2012 | 34 | |
| 17 | 2011 | 31 | |
| 18 | 2015 | 31 | |
| 19 | 2023 | 26 | |
| 20 | 2023 | 19 |
About Wen Dang
Wen Dang is a scholar working on Microbiology, Infectious Diseases, Neurology, Immunology and Cognitive Neuroscience, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Long-Term Effects of COVID-19 (3 papers), interferon and immune responses (3 papers), Bacteriophages and microbial interactions (1 paper), Functional Brain Connectivity Studies (1 paper), Hepatitis B Virus Studies (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Microbiology (303 citations), Infectious Diseases (148 citations), Immunology (74 citations), Neurology (39 citations) and Animal Science and Zoology (20 citations). Wen Dang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Kairong Wang, Jiexi Yan, Bangzhi Zhang, Ru Chen, Qiuwei Pan, Yuebang Yin, Maikel Petrus Peppelenbosch, Junqiu Xie, Lei Xu and Jingjing Song. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Antiviral Research, Journal of Virology, Peptides and Microbiology Spectrum.
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.