Lua T. Dang

635 citations
24 papers · 447 · h-index 10

Impact in

    • Vibrio bacteria research studies
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 15
    • Invertebrate Immune Response Mechanisms 3
    • RNA Interference and Gene Delivery 2

Lua T. Dang

21 papers receiving 434 citations

Peers

Lua T. Dang
Comparison fields: 5 of 50
  • Endocrinology 138
  • Immunology 339
  • Aquatic Science 87
  • Animal Science and Zoology 43
  • Molecular Medicine 12
Replace Partho Pratim Debnath with:
Partho Pratim Debnath Thailand
Noel Verján Colombia
Nor Zulkiply Amalina Malaysia
N. Sundar Raj India
Kizito K. Mugimba Uganda
Kasper Rømer Villumsen Denmark
Ponnerassery S. Sudheesh United States
Mario Caruffo Chile
Guosi Xie China
Rekha Khushiramani India
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Citations per field
00.5×5.3×
Partho Pratim Debnath · 1×
Citations per year

Countries citing papers authored by Lua T. Dang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lua T. Dang Line = papers co-authored together Lua T. Dang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015155
2 202172
3 200567
4 200732
5 200720
6 200818
7 202113
8 202212
9 201012
10 201910
11 20189
12 20237
13 20166
14 20233
15 20253
16 20222
17 20202
18 20211
19 20201
20 20251

About Lua T. Dang

Lua T. Dang is a scholar working on Immunology, Molecular Biology, Ecology, Endocrinology and Aquatic Science, having authored 24 papers that have together received 447 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (15 papers), Vibrio bacteria research studies (5 papers), Aquaculture Nutrition and Growth (4 papers), Animal Virus Infections Studies (4 papers), Parasite Biology and Host Interactions (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Fish biology, ecology, and behavior (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Endocrinology (138 citations), Immunology (339 citations), Aquatic Science (87 citations), Animal Science and Zoology (43 citations) and Molecular Medicine (12 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, Truong Dinh Hoai, Hai Thanh Nguyen, Hạnh Thị Thuý Nguyễn, Nguyễn Thị Hương Giang and Ha Thanh Dong. Their work appears in journals such as Antiviral Research, Aquaculture, Archives of Virology, Fish & Shellfish Immunology and Human and Ecological Risk Assessment An International Journal.

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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