Amy Won

665 citations
20 papers · 488 · h-index 13

Impact in

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 488 citations

Peers

Amy Won
Comparison fields: 5 of 75
  • Microbiology 147
  • Cell Biology 75
  • Molecular Biology 314
  • Aging 8
  • Neurology 30
Replace Jahangir Md. Alam with:
Jahangir Md. Alam Japan
Andrea Bethe Germany
D. Yu. Ryazantsev Russia
Tina Holm Sweden
Lee Dolat United States
Einav Tayeb-Fligelman Israel
Mary C. Pearce Australia
Narae Bae United States
Benno Kuropka Germany
Cecilia Montáñez Mexico
Amy Won relative to Jahangir Md. Alam Japan Jahangir Md. Alam's profile →
Citations per field
00.5×1.5×2.3×
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 201765
2 201646
3 201439
4 201136
5 201735
6 201032
7 201832
8 201129
9 200927
10 201126
11 201526
12 201225
13 201612
14 201912
15 201612
16 201112
17 201010
18 201610
19 20181
20 20161

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 488 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Lipid Membrane Structure and Behavior (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 Supramolecular Chemistry and Complexes (1 paper). The work is most often cited by research in Microbiology (147 citations), Cell Biology (75 citations), Molecular Biology (314 citations), Aging (8 citations) and Neurology (30 citations). Amy Won has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Anatoli Ianoul, Christopher M. Yip, Annamaria Ruscito, Bonnie Leung, Adam P. Hitchcock, Avijit Chakrabartty, Yulong Sun, Pharhad Eli Arslan, Robert G. Parton and Charles Ferguson. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biophysical Journal, European Biophysics Journal, Nature Communications and APL Bioengineering.

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.

Explore authors with similar magnitude of impact