Meiling Dong

2.1k citations
37 papers · 1.6k · h-index 21

Impact in

Papers in

    • Aquaculture disease management and microbiota 10
    • Invertebrate Immune Response Mechanisms 8
    • interferon and immune responses 6
    • Immune Response and Inflammation 6
    • T-cell and B-cell Immunology 4
    • Galectins and Cancer Biology 3

Meiling Dong

35 papers receiving 1.6k citations

Peers

Meiling Dong
Comparison fields: 5 of 99
  • Immunology 917
  • Applied Microbiology and Biotechnology 55
  • Microbiology 178
  • Aquatic Science 131
  • Immunology and Allergy 75
Replace Aline Fiebig‐Comyn with:
Aline Fiebig‐Comyn Canada
Shengfeng Huang China
Mariano Loza‐Coll United States
Hee Jeong Kong South Korea
John P. Cannon United States
María P. Sepulcre Spain
Youngdeuk Lee South Korea
Jingqun Ao China
Cho‐Fat Hui Taiwan
Meiling Dong relative to Aline Fiebig‐Comyn Canada Aline Fiebig‐Comyn's profile →
Citations per field
00.5×9.4×
Aline Fiebig‐Comyn · 1×
Citations per year

Countries citing papers authored by Meiling Dong

Since Specialization
Citations

This map shows the geographic impact of Meiling Dong'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 Meiling Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Dong more than expected).

Fields of papers citing papers by Meiling Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meiling Dong. 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 Meiling Dong. The network helps show where Meiling Dong may publish in the future.

Co-authors

The 25 scholars most cited alongside Meiling Dong, 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 Meiling Dong Line = papers co-authored together Meiling Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008307
2 2006205
3 2007158
4 2005134
5 200675
6 200469
7 200959
8 200550
9 200943
10 200742
11 200342
12 200742
13 201141
14 200538
15 200435
16 200732
17 200930
18 200528
19 200424
20 200322

About Meiling Dong

Meiling Dong is a scholar working on Immunology, Molecular Biology, Cancer Research, Aquatic Science and Biotechnology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (10 papers), Invertebrate Immune Response Mechanisms (8 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (5 papers), T-cell and B-cell Immunology (4 papers), Galectins and Cancer Biology (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Immunology (917 citations), Applied Microbiology and Biotechnology (55 citations), Microbiology (178 citations), Aquatic Science (131 citations) and Immunology and Allergy (75 citations). Meiling Dong has collaborated with scholars based in China and United States. Frequent co-authors include Anlong Xu, Shangwu Chen, Shengfeng Huang, Yanhong Yu, Shaochun Yuan, Tao Wu, Huiqing Huang, Lei Guo, Yingcai Yu and Cuiling Yu. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Biochemical and Biophysical Research Communications, Fish & Shellfish Immunology and Process Biochemistry.

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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