Lua T. 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 15
- Aquaculture disease management and microbiota 14
- Invertebrate Immune Response Mechanisms 2
- 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)Kim Van Van (5 shared papers)Truong Dinh Hoai (3 shared papers)Hạnh Thị Thuý Nguyễn (2 shared papers)
In The Last Decade
Lua T. Dang
19 papers receiving 411 citations
Peers
Comparison fields: 5 of 51
- Endocrinology 140
- Immunology 330
- Aquatic Science 84
- Animal Science and Zoology 47
- Molecular Medicine 13
Countries citing papers authored by Lua T. Dang
This map shows the geographic impact of Lua T. 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 T. 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 T. Dang more than expected).
Fields of papers citing papers by Lua T. Dang
This network shows the impact of papers produced by Lua T. 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 T. Dang. The network helps show where Lua T. Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lua T. 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 152 | |
| 2 | 2005 | 67 | |
| 3 | 2021 | 66 | |
| 4 | 2007 | 29 | |
| 5 | 2007 | 20 | |
| 6 | 2008 | 16 | |
| 7 | 2010 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Lua T. Dang
Lua T. Dang is a scholar working on Immunology, Molecular Biology, Ecology, Endocrinology and Animal Science and Zoology, having authored 23 papers that have together received 423 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (14 papers), Vibrio bacteria research studies (5 papers), Animal Virus Infections Studies (4 papers), Parasite Biology and Host Interactions (4 papers), Aquaculture Nutrition and Growth (3 papers), Invertebrate Immune Response Mechanisms (2 papers), MicroRNA in disease regulation (2 papers) and Fish biology, ecology, and behavior (2 papers). The work is most often cited by research in Endocrinology (140 citations), Immunology (330 citations), Aquatic Science (84 citations), Animal Science and Zoology (47 citations) and Molecular Medicine (13 citations). Lua T. Dang has collaborated with scholars based in Vietnam, Japan and Thailand. Frequent co-authors include Ikuo Hırono, Hidehiro Kondo, Phan Thi Van, Takashi Aoki, Motoshige Yasuike, Kim Van Van, Truong Dinh Hoai, Hạnh Thị Thuý Nguyễn, Hai Thanh Nguyen and Takashi Koyama. Their work appears in journals such as Antiviral Research, Aquaculture, Human and Ecological Risk Assessment An International Journal, Antibiotics 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.