Lua Thi Dang
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Immunology top 10%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
- Immunology 17
- Aquaculture disease management and microbiota 16
- Invertebrate Immune Response Mechanisms 4
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- Vibrio bacteria research studies 5
- Co-authors
- Ikuo Hırono (6 shared papers)Hidehiro Kondo (5 shared papers)Phan Thi Van (1 shared paper)Takashi Aoki (5 shared papers)Motoshige Yasuike (2 shared papers)Truong Dinh Hoai (3 shared papers)Nguyễn Thị Vân Anh (1 shared paper)Anh Hoa Nguyen (1 shared paper)
In The Last Decade
Lua Thi Dang
23 papers receiving 514 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 149
- Immunology 385
- Aquatic Science 101
- Animal Science and Zoology 46
- Microbiology 16
Countries citing papers authored by Lua Thi Dang
This map shows the geographic impact of Lua Thi Dang'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 Lua Thi Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lua Thi Dang more than expected).
Fields of papers citing papers by Lua Thi Dang
This network shows the impact of papers produced by Lua Thi Dang. 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 Lua Thi Dang. The network helps show where Lua Thi Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lua Thi Dang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | 2021 | 78 | |
| 3 | 2005 | 66 | |
| 4 | 2014 | 56 | |
| 5 | 2007 | 34 | |
| 6 | 2007 | 20 | |
| 7 | 2008 | 19 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2010 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 1 |
About Lua Thi Dang
Lua Thi Dang is a scholar working on Immunology, Endocrinology, Aquatic Science, Animal Science and Zoology and Ecology, having authored 24 papers that have together received 529 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (16 papers), Vibrio bacteria research studies (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Animal Virus Infections Studies (4 papers), Aquaculture Nutrition and Growth (4 papers), Parasite Biology and Host Interactions (3 papers), Genomics and Phylogenetic Studies (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Endocrinology (149 citations), Immunology (385 citations), Aquatic Science (101 citations), Animal Science and Zoology (46 citations) and Microbiology (16 citations). Lua Thi Dang has collaborated with scholars based in Vietnam, Japan and Australia. Frequent co-authors include Ikuo Hırono, Hidehiro Kondo, Phan Thi Van, Takashi Aoki, Motoshige Yasuike, Truong Dinh Hoai, Nguyễn Thị Vân Anh, Anh Hoa Nguyen, Simon M. Cutting and Hạnh Thị Thuý Nguyễn. Their work appears in journals such as Antiviral Research, Aquaculture, Transboundary and Emerging Diseases, Virus Genes and Fish & Shellfish Immunology.
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.