Ming Wang
Impact in
- Parasitology top 2%
- Parasitic Infections and Diagnostics
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 30
- Influenza Virus Research Studies 16
- Virology and Viral Diseases 8
- Herpesvirus Infections and Treatments 7
- Immunology 21
- interferon and immune responses 10
- Immune Response and Inflammation 7
- Co-authors
- Dechang Yang (5 shared papers)Guozhong Zhang (9 shared papers)Yanxin Hu (17 shared papers)Hrvoje Pandžić (2 shared papers)George F. Gao (4 shared papers)Wenzhong Zhou (3 shared papers)Shuyu Xie (3 shared papers)Baoliang Pan (6 shared papers)
- Journals
- PLoS ONE (6 papers)Veterinary Parasitology (5 papers)Avian Diseases (4 papers)Frontiers in Microbiology (4 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Wang
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Parasitology 285
- Infectious Diseases 548
- Animal Science and Zoology 289
- Small Animals 149
- Pharmaceutical Science 106
Countries citing papers authored by Ming Wang
This map shows the geographic impact of Ming 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 Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).
Fields of papers citing papers by Ming Wang
This network shows the impact of papers produced by Ming 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 Ming Wang. The network helps show where Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 273 | |
| 2 | 2008 | 83 | |
| 3 | 2014 | 75 | |
| 4 | 2012 | 75 | |
| 5 | 2020 | 65 | |
| 6 | 2021 | 57 | |
| 7 | 2010 | 57 | |
| 8 | 2016 | 53 | |
| 9 | 2019 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2012 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 2008 | 41 | |
| 14 | 2012 | 41 | |
| 15 | 2014 | 39 | |
| 16 | 2017 | 38 | |
| 17 | 2018 | 36 | |
| 18 | 2006 | 34 | |
| 19 | 2006 | 32 | |
| 20 | 2004 | 29 |
About Ming Wang
Ming Wang is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Parasitology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), interferon and immune responses (10 papers), Virology and Viral Diseases (8 papers), Immune Response and Inflammation (7 papers), Herpesvirus Infections and Treatments (7 papers), Parasitic Infections and Diagnostics (7 papers), Virus-based gene therapy research (6 papers) and Salmonella and Campylobacter epidemiology (6 papers). The work is most often cited by research in Parasitology (285 citations), Infectious Diseases (548 citations), Animal Science and Zoology (289 citations), Small Animals (149 citations) and Pharmaceutical Science (106 citations). Ming Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dechang Yang, Guozhong Zhang, Yanxin Hu, Hrvoje Pandžić, George F. Gao, Wenzhong Zhou, Shuyu Xie, Baoliang Pan, Xishan Lu and Lunquan Sun. Their work appears in journals such as PLoS ONE, Veterinary Parasitology, Avian Diseases, Frontiers in Microbiology and Biochemical and Biophysical Research Communications.
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.