Hung Tan

21 papers receiving 437 citations

Peers

Hung Tan
Comparison fields: 5 of 66
  • Pollution 182
  • Health, Toxicology and Mutagenesis 139
  • Nature and Landscape Conservation 66
  • Physiology 23
  • Behavioral Neuroscience 17
Replace Jack A. Brand with:
Jack A. Brand Australia
Michael J. Barry Oman
A.D. Gendron Canada
Charlotte Philippe Belgium
Lilian Franco‐Belussi Brazil
Martina Heynen Sweden
Junho Eom Canada
Kaley M. Major United States
Yasmin Guler United Kingdom
Lia Raquel de Souza Santos Brazil
Hung Tan relative to Jack A. Brand Australia Jack A. Brand's profile →
Citations per field
00.5×2×2.6×
Jack A. Brand · 1×
Citations per year

Countries citing papers authored by Hung Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hung Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022106
2 202062
3 202151
4 202044
5 201932
6 202023
7 202116
8 202116
9 202415
10 202314
11 202111
12 202310
13 202410
14 20227
15 20257
16 20217
17 20235
18 20243
19 20232
20 20252

About Hung Tan

Hung Tan is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Nature and Landscape Conservation, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 21 papers that have together received 444 indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Environmental Toxicology and Ecotoxicology (7 papers), Fish Ecology and Management Studies (6 papers), Amphibian and Reptile Biology (5 papers), Animal Behavior and Reproduction (5 papers), Aquaculture disease management and microbiota (4 papers), Reproductive biology and impacts on aquatic species (4 papers) and Primate Behavior and Ecology (2 papers). The work is most often cited by research in Pollution (182 citations), Health, Toxicology and Mutagenesis (139 citations), Nature and Landscape Conservation (66 citations), Physiology (23 citations) and Behavioral Neuroscience (17 citations). Hung Tan has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Bob B. M. Wong, Jake M. Martin, Michael G. Bertram, Jack A. Brand, Giovanni Polverino, Minna Saaristo, Lesley A. Alton, Topi K. Lehtonen, Damian K. Dowling and Alex T. Ford. Their work appears in journals such as Environmental Pollution, The Science of The Total Environment, Environmental Science & Technology, Environmental Evidence and Proceedings of the Royal Society B Biological Sciences.

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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