Jing Dong
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
- Immunology 55
- Aquaculture disease management and microbiota 33
-
- Vibrio bacteria research studies 11
- Co-authors
- Peter ThomasYefei PangXuming DengXiaohui AiNing XuJiazhang QiuYongtao LiuEdward J. Filardo
- Journals
- Aquaculture (8 papers)Endocrinology (8 papers)Journal of Veterinary Pharmacology and Therapeutics (5 papers)Aquaculture Reports (5 papers)Journal of Medicinal Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jing Dong
185 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 147
- Physiology 320
- Immunology 1.3k
- Genetics 1.7k
- Reproductive Medicine 478
- Molecular Biology 2.5k
Countries citing papers authored by Jing Dong
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2018 | 8 | |
| 17 | 2016 | 14 | |
| 18 | 2015 | 0 | |
| 19 | 2012 | 2 | |
| 20 | 2011 | 55 |
About Jing Dong
Jing Dong is a scholar working on Immunology, Endocrinology, Microbiology, Structural Biology and Pharmacology, having authored 188 papers that have together received 6.5k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (33 papers), Estrogen and related hormone effects (19 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Vibrio bacteria research studies (11 papers), Parasite Biology and Host Interactions (10 papers) and Bacterial biofilms and quorum sensing (8 papers). The work is most often cited by research in Physiology (320 citations), Immunology (1.3k citations), Genetics (1.7k citations), Reproductive Medicine (478 citations) and Molecular Biology (2.5k 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, Ning Xu, Jiazhang Qiu, Yongtao Liu, Edward J. Filardo, Qiuhong Yang and Yibin Yang. Their work appears in journals such as Aquaculture, Endocrinology, Journal of Veterinary Pharmacology and Therapeutics, Aquaculture Reports and Journal of Medicinal Chemistry.
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.