Meng Long
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Immunology top 5%
- Aquaculture disease management and microbiota
Papers in
- Immunology 15
- Aquaculture disease management and microbiota 9
- interferon and immune responses 4
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- Gut microbiota and health 4
- Genomics and Phylogenetic Studies 4
- Co-authors
- Aihua Li (6 shared papers)Peiyan Sun (10 shared papers)Mutai Bao (10 shared papers)Tongtong Li (3 shared papers)François-Joël Gatesoupe (3 shared papers)Qianqian Zhang (3 shared papers)Li Li (3 shared papers)Ting Xue (2 shared papers)
In The Last Decade
Meng Long
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Aquatic Science 235
- Immunology 477
- Pollution 280
- Health, Toxicology and Mutagenesis 163
- Endocrinology 52
Countries citing papers authored by Meng Long
This map shows the geographic impact of Meng Long'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 Meng Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Long more than expected).
Fields of papers citing papers by Meng Long
This network shows the impact of papers produced by Meng Long. 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 Meng Long. The network helps show where Meng Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Long, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 234 | |
| 2 | 2016 | 117 | |
| 3 | 2015 | 80 | |
| 4 | 2017 | 78 | |
| 5 | 2017 | 69 | |
| 6 | 2017 | 68 | |
| 7 | 2014 | 61 | |
| 8 | 2014 | 56 | |
| 9 | 2016 | 47 | |
| 10 | 2016 | 33 | |
| 11 | 2019 | 32 | |
| 12 | 2015 | 29 | |
| 13 | 2018 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2019 | 17 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2023 | 9 |
About Meng Long
Meng Long is a scholar working on Immunology, Molecular Biology, Pollution, Ecology and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (10 papers), Microbial Community Ecology and Physiology (9 papers), Aquaculture disease management and microbiota (9 papers), Toxic Organic Pollutants Impact (5 papers), Oil Spill Detection and Mitigation (4 papers), interferon and immune responses (4 papers), Gut microbiota and health (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Aquatic Science (235 citations), Immunology (477 citations), Pollution (280 citations), Health, Toxicology and Mutagenesis (163 citations) and Endocrinology (52 citations). Meng Long has collaborated with scholars based in China, France and Iran. Frequent co-authors include Aihua Li, Peiyan Sun, Mutai Bao, Tongtong Li, François-Joël Gatesoupe, Qianqian Zhang, Li Li, Ting Xue, Haoshuai Li and Ning Wu. Their work appears in journals such as Fish & Shellfish Immunology, Marine Pollution Bulletin, International Journal of Biological Macromolecules, Journal of Fish Diseases and Chemosphere.
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.