Amy Won

657 citations
20 papers · 468 indexed · h-index 13

Impact in

    • Antimicrobial Peptides and Activities
    • Lipid Membrane Structure and Behavior
    • Biochemical and Structural Characterization
    • RNA Research and Splicing

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Biochemical and Structural Characterization 5
    • RNA Interference and Gene Delivery 2
    • Prion Diseases and Protein Misfolding 2
    • Antimicrobial Peptides and Activities 8

Amy Won

20 papers receiving 468 citations

Peers

Amy Won
Comparison fields: 5 of 76
  • Microbiology 141
  • Molecular Biology 318
  • Cell Biology 75
  • Aging 8
  • Biomaterials 28
Replace Jahangir Md. Alam with:
Jahangir Md. Alam Japan
Andrea Bethe Germany
Sebastiaan Werten Germany
Mary C. Pearce Australia
Dongdong Wang China
Tina Holm Sweden
Lee Dolat United States
Einav Tayeb-Fligelman Israel
Carsten Corvey Germany
Cecilia Montáñez Mexico
Amy Won relative to Jahangir Md. Alam Japan Jahangir Md. Alam's profile →
Citations per field
00.5×1.5×
Jahangir Md. Alam · 1×
Citations per year

Countries citing papers authored by Amy Won

Since Specialization
Citations

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

Fields of papers citing papers by Amy Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201764
2 201645
3 201439
4 201032
5 201732
6 201831
7 201130
8 201128
9 200926
10 201125
11 201225
12 201525
13 201912
14 201612
15 201111
16 201610
17 201010
18 20169
19 20161
20 20181

About Amy Won

Amy Won is a scholar working on Molecular Biology, Microbiology, Organic Chemistry, Physiology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 468 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Antimicrobial Peptides and Activities (8 papers), Biochemical and Structural Characterization (5 papers), Advanced Polymer Synthesis and Characterization (3 papers), Alzheimer's disease research and treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Microbiology (141 citations), Molecular Biology (318 citations), Cell Biology (75 citations), Aging (8 citations) and Biomaterials (28 citations). Amy Won has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Anatoli Ianoul, Christopher M. Yip, Annamaria Ruscito, Adam P. Hitchcock, Bonnie Leung, Pharhad Eli Arslan, Yulong Sun, Avijit Chakrabartty, Raibatak Das and Jason G. Kay. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Nature Communications, European Biophysics Journal, Biophysical Journal and Scientific Reports.

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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