Jing Dong

8.4k citations
192 papers · 6.7k · h-index 43

Impact in

  • Physiology top 0.5%
    • Reproductive biology and impacts on aquatic species
  • Immunology top 2%
    • Reproductive System and Pregnancy
    • Aquaculture disease management and microbiota
    • Complement system in diseases

Papers in

Jing Dong

188 papers receiving 6.5k citations

Peers

Jing Dong
Comparison fields: 5 of 144
  • Physiology 312
  • Immunology 1.3k
  • Genetics 1.6k
  • Reproductive Medicine 443
  • Molecular Biology 2.4k
Replace Afshin Samali with:
Afshin Samali Ireland
Philippe Marchetti France
Martine Raes Belgium
Ichiro Kudo Japan
Colin Funk United States
David O. Toft United States
Håkan Eriksson Sweden
Graziella Migliorati Italy
Haider Raza United Arab Emirates
Catherine Brenner France
Jing Dong relative to Afshin Samali Ireland Afshin Samali's profile →
Citations per field
00.5×3.2×
Afshin Samali · 1×
Citations per year

Countries citing papers authored by Jing Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006474
2 2007367
3 2006264
4 2006258
5 2012183
6 2007165
7 2009156
8 2006141
9 2014140
10 2012132
11 2010118
12 2008117
13 2014112
14 2010105
15 2009103
16 2007102
17 2019101
18 200484
19 201083
20 201380

About Jing Dong

Jing Dong is a scholar working on Molecular Biology, Immunology, Genetics, Plant Science and Infectious Diseases, having authored 192 papers that have together received 6.7k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (34 papers), Estrogen and related hormone effects (19 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Vibrio bacteria research studies (11 papers), Parasite Biology and Host Interactions (10 papers) and Pesticide Residue Analysis and Safety (7 papers). The work is most often cited by research in Physiology (312 citations), Immunology (1.3k citations), Genetics (1.6k citations), Reproductive Medicine (443 citations) and Molecular Biology (2.4k citations). Jing Dong has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Peter Thomas, Yefei Pang, Xuming Deng, Xiaohui Ai, Yongtao Liu, Ning Xu, Jiazhang Qiu, Qiuhong Yang, Edward J. Filardo and Yibin Yang. Their work appears in journals such as Aquaculture, Endocrinology, Aquaculture Reports, Journal of Veterinary Pharmacology and Therapeutics and Animals.

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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