Gailing Wang
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
-
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
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- Soil Carbon and Nitrogen Dynamics 6
- Co-authors
- Jingchan Zhao (5 shared papers)Zhian Guo (4 shared papers)Fei Liu (3 shared papers)Mingxian Chang (1 shared paper)Junhua Li (1 shared paper)Pengfei Zou (1 shared paper)Pin Nie (1 shared paper)Bei Huang (1 shared paper)
- Journals
- Agronomy (2 papers)RSC Advances (2 papers)Water Air & Soil Pollution (2 papers)Journal of Food Processing and Preservation (2 papers)Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology (1 paper)
- Partner nations
- ChinaBelgiumUnited Kingdom
In The Last Decade
Gailing Wang
37 papers receiving 337 citations
Peers
Comparison fields: 5 of 93
- Microbiology 68
- Immunology 79
- Analytical Chemistry 37
- Geriatrics and Gerontology 7
- Soil Science 19
Countries citing papers authored by Gailing Wang
This map shows the geographic impact of Gailing 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 Gailing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gailing Wang more than expected).
Fields of papers citing papers by Gailing Wang
This network shows the impact of papers produced by Gailing 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 Gailing Wang. The network helps show where Gailing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gailing 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 53 | |
| 2 | 2010 | 38 | |
| 3 | 2015 | 26 | |
| 4 | 2020 | 25 | |
| 5 | 2015 | 18 | |
| 6 | 2015 | 18 | |
| 7 | 2023 | 18 | |
| 8 | 2014 | 13 | |
| 9 | 2009 | 12 | |
| 10 | 2019 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | Cloning and expression of immunoglobulin D heavy chain in mandarin fish,Siniperca chuatsi | 2010 | 5 |
| 20 | 2021 | 5 |
About Gailing Wang
Gailing Wang is a scholar working on Molecular Biology, Soil Science, Plant Science, Ecology and Immunology, having authored 39 papers that have together received 340 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (6 papers), Aquaculture disease management and microbiota (5 papers), Antimicrobial Peptides and Activities (3 papers), Agriculture, Soil, Plant Science (3 papers), Heavy metals in environment (3 papers), Advanced Chemical Sensor Technologies (3 papers), Plant Ecology and Soil Science (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). The work is most often cited by research in Microbiology (68 citations), Immunology (79 citations), Analytical Chemistry (37 citations), Geriatrics and Gerontology (7 citations) and Soil Science (19 citations). Gailing Wang has collaborated with scholars based in China, Belgium and United Kingdom. Frequent co-authors include Jingchan Zhao, Zhian Guo, Fei Liu, Mingxian Chang, Junhua Li, Pengfei Zou, Pin Nie, Bei Huang, Yi Chai and Zhi‐Li Xiao. Their work appears in journals such as Agronomy, RSC Advances, Water Air & Soil Pollution, Journal of Food Processing and Preservation and Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology.
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.