Daniel Vuong

872 citations
48 papers · 657 · h-index 15

Impact in

    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications
    • Marine Sponges and Natural Products

Papers in

    • Microbial Natural Products and Biosynthesis 32
    • Fungal Biology and Applications 5
    • Genomics and Phylogenetic Studies 4
    • Plant biochemistry and biosynthesis 4

Daniel Vuong

45 papers receiving 651 citations

Peers

Daniel Vuong
Comparison fields: 5 of 95
  • Pharmacology 363
  • Biotechnology 146
  • Parasitology 55
  • Toxicology 16
  • Organic Chemistry 126
Replace Katherine Williams with:
Katherine Williams United Kingdom
Stephan Hüttel Germany
Mário F. C. Santos Brazil
Daisuke Takano Japan
Linda K. Larsen United States
Javier Collado United States
Yuki Inahashi Japan
Kazutoshi Sakamoto Japan
Aziz Fassouane Morocco
Daniel Vuong relative to Katherine Williams United Kingdom Katherine Williams's profile →
Citations per field
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Katherine Williams · 1×
Citations per year

Countries citing papers authored by Daniel Vuong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vuong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 201949
3 201647
4 202044
5 201840
6 201531
7 202029
8 201626
9 201826
10 201923
11 202119
12 202018
13 201818
14 202017
15 201715
16 202313
17 202012
18 201912
19 202111
20 202010

About Daniel Vuong

Daniel Vuong is a scholar working on Pharmacology, Molecular Biology, Biotechnology, Organic Chemistry and Cell Biology, having authored 48 papers that have together received 657 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (32 papers), Marine Sponges and Natural Products (15 papers), Synthetic Organic Chemistry Methods (7 papers), Plant Pathogens and Fungal Diseases (5 papers), Fungal Biology and Applications (5 papers), Genomics and Phylogenetic Studies (4 papers), Plant biochemistry and biosynthesis (4 papers) and Parasitic Infections and Diagnostics (4 papers). The work is most often cited by research in Pharmacology (363 citations), Biotechnology (146 citations), Parasitology (55 citations), Toxicology (16 citations) and Organic Chemistry (126 citations). Daniel Vuong has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Ernest Lacey, Andrew M. Piggott, Yit‐Heng Chooi, Andrew Crombie, John I. Pitt, Heather J. Lacey, Hang Li, Cameron L. M. Gilchrist, Peter Karuso and John A. Kalaitzis. Their work appears in journals such as Journal of Natural Products, Organic & Biomolecular Chemistry, The Journal of Antibiotics, Organic Letters and Chemical Science.

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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