Meng Long

1.3k citations
36 papers · 1.0k · h-index 16

Impact in

Papers in

    • Aquaculture disease management and microbiota 9
    • interferon and immune responses 4
    • Gut microbiota and health 4
    • Genomics and Phylogenetic Studies 4

Meng Long

33 papers receiving 1.0k citations

Peers

Meng Long
Comparison fields: 5 of 105
  • Aquatic Science 227
  • Immunology 470
  • Pollution 264
  • Health, Toxicology and Mutagenesis 160
  • Environmental Chemistry 103
Replace Xuemei Li with:
Xuemei Li China
Shibnath Mazumder India
Carlos Riquelme Chile
Rui J. M. Rocha Portugal
Pengzhi Qi China
V. J. Rejish Kumar India
Vivian R. Dayeh Canada
Susmita Mukherjee India
Hongbiao Dong China
Kristof Dierckens Belgium
Meng Long relative to Xuemei Li China Xuemei Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meng Long

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Meng Long Line = papers co-authored together Meng Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014230
2 2016117
3 201577
4 201774
5 201767
6 201461
7 201759
8 201456
9 201645
10 201631
11 201931
12 201527
13 202022
14 201821
15 201819
16 201917
17 201711
18 201710
19 20199
20 20239

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 1.0k 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 (227 citations), Immunology (470 citations), Pollution (264 citations), Health, Toxicology and Mutagenesis (160 citations) and Environmental Chemistry (103 citations). Meng Long has collaborated with scholars based in China, France and Iran. Frequent co-authors include Aihua Li, Mutai Bao, Peiyan Sun, François-Joël Gatesoupe, Tongtong Li, Qianqian Zhang, Li Li, Yujing Su, Ting Xue and Ning Wu. Their work appears in journals such as Fish & Shellfish Immunology, Marine Pollution Bulletin, International Journal of Biological Macromolecules, Gene and Journal of Fish Diseases.

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.

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