Huy N. Hoang

2.7k citations
79 papers · 2.2k indexed · h-index 26

Huy N. Hoang

76 papers receiving 2.2k citations

Peers

Huy N. Hoang
Comparison fields: 5 of 114
  • Microbiology 229
  • Molecular Biology 1.7k
  • Organic Chemistry 701
  • Biomaterials 199
  • Endocrinology, Diabetes and Metabolism 160
Replace Michael K. Dunn with:
Michael K. Dunn United States
Gregory H. Bird United States
Vincent Lisowski France
Seetharama D. Jois United States
Liana C. Silva Portugal
Daniel F. Wyss United States
Alessandra Tolomelli Italy
Nicholas E. Shepherd Australia
Zhangyong Hong China
Sara Pellegrino Italy
Huy N. Hoang relative to Michael K. Dunn United States Michael K. Dunn's profile →
Citations per field
00.5×20×40×60×77.5×
Michael K. Dunn · 1×
Citations per year

Countries citing papers authored by Huy N. Hoang

Since Specialization
Citations

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

Fields of papers citing papers by Huy N. Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huy N. Hoang. 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 Huy N. Hoang. The network helps show where Huy N. Hoang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20233
5 20232
6 20231
7 202124
8 202012
9 201928
10 201620
11
Cyclic penta- and hexa leucine peptides without N-methylation are orally absorbed
20151
12 20157
13 2014155
14 2014118
15 201317
16 201340
17 201118
18 2010148
19 200940
20 200335

About Huy N. Hoang

Huy N. Hoang is a scholar working on Microbiology, Molecular Biology and Biomaterials, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (45 papers), RNA and protein synthesis mechanisms (20 papers), Protein Structure and Dynamics (16 papers), Antimicrobial Peptides and Activities (11 papers), Supramolecular Self-Assembly in Materials (9 papers), Carbohydrate Chemistry and Synthesis (7 papers), Click Chemistry and Applications (5 papers) and Biochemical and Structural Characterization (5 papers). The work is most often cited by research in Microbiology (229 citations), Molecular Biology (1.7k citations) and Organic Chemistry (701 citations). Huy N. Hoang has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include David P. Fairlie, Giovanni Abbenante, Nicholas E. Shepherd, Timothy A. Hill, Trevor G. Appleton, Russell W. Driver, Aline D. de Araujo, Rink‐Jan Lohman, Michael J. Kelso and Spiros Liras. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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