Ngoc‐Duc Doan

572 citations
18 papers · 348 · h-index 13

Impact in

Papers in

    • Chemical Synthesis and Analysis 9
    • Receptor Mechanisms and Signaling 2
    • Click Chemistry and Applications 5
    • Carbohydrate Chemistry and Synthesis 2

Ngoc‐Duc Doan

18 papers receiving 345 citations

Peers

Ngoc‐Duc Doan
Comparison fields: 5 of 60
  • Immunology and Allergy 26
  • Cellular and Molecular Neuroscience 80
  • Molecular Biology 250
  • Organic Chemistry 86
  • Microbiology 15
Replace Bernhard Eggimann with:
Bernhard Eggimann Switzerland
Pritha Paul United States
Philippe Marschal France
Shirley Pullan United States
Kateřina Čapková United States
J Y Chang Switzerland
Maren von der Ohe Germany
Claudia Hinze United Kingdom
Martin B.A. ter Beest United States
Mitsutaka Ogawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ngoc‐Duc Doan

Since Specialization
Citations

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

Fields of papers citing papers by Ngoc‐Duc Doan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ngoc‐Duc Doan. 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 Ngoc‐Duc Doan. The network helps show where Ngoc‐Duc Doan may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201851
2 201644
3 201038
4 201229
5 200726
6 201420
7 201219
8 201719
9 201418
10 201417
11 201716
12 201914
13 202013
14 20177
15 20157
16 20156
17 20183
18 20241

About Ngoc‐Duc Doan

Ngoc‐Duc Doan is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 18 papers that have together received 348 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (9 papers), Peptidase Inhibition and Analysis (6 papers), Click Chemistry and Applications (5 papers), Neuropeptides and Animal Physiology (4 papers), Cell Adhesion Molecules Research (3 papers), Protease and Inhibitor Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Immunology and Allergy (26 citations), Cellular and Molecular Neuroscience (80 citations), Molecular Biology (250 citations), Organic Chemistry (86 citations) and Microbiology (15 citations). Ngoc‐Duc Doan has collaborated with scholars based in Canada, United States and France. Frequent co-authors include William D. Lubell, Matthew D. Shoulders, Myriam Létourneau, Alain Fournier, David Chatenet, Hubert Vaudry, Madeline Wong, Steve Bourgault, David Vaudry and Amanda Del Rosario. Their work appears in journals such as Journal of Peptide Science, Organic Letters, ACS Chemical Biology, Biochemical Pharmacology and European Journal of Medicinal Chemistry.

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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