Ya-Wei Hsueh

421 citations
12 papers · 351 · h-index 7

Impact in

    • Lipid Membrane Structure and Behavior
    • Sphingolipid Metabolism and Signaling
    • Antimicrobial Peptides and Activities

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Sphingolipid Metabolism and Signaling 6
    • Protein Structure and Dynamics 2
    • Surfactants and Colloidal Systems 3

Ya-Wei Hsueh

12 papers receiving 350 citations

Peers

Ya-Wei Hsueh
Comparison fields: 5 of 67
  • Molecular Biology 306
  • Microbiology 25
  • Organic Chemistry 90
  • Atomic and Molecular Physics, and Optics 74
  • Pharmaceutical Science 12
Replace Jana Gallová with:
Jana Gallová Slovakia
Juha-Pekka Mattila Finland
Joaquim T. Marquês Portugal
Carlos R. Benatti Brazil
Benjamin Kollmitzer Austria
Sara R. R. Campos Portugal
Matthew A. Barrett Canada
Naofumi Shimokawa Japan
Michail Palaiokostas United Kingdom
M. Isabel Collado Spain
Ya-Wei Hsueh relative to Jana Gallová Slovakia Jana Gallová's profile →
Citations per field
00.5×1.7×
Jana Gallová · 1×
Citations per year

Countries citing papers authored by Ya-Wei Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Wei Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Wei Hsueh. 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 Ya-Wei Hsueh. The network helps show where Ya-Wei Hsueh may publish in the future.

Co-authors

The 16 scholars most cited alongside Ya-Wei Hsueh, 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 Ya-Wei Hsueh Line = papers co-authored together Ya-Wei Hsueh links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005117
2 200289
3 200667
4 201622
5 200518
6 201410
7 20207
8 20166
9 20106
10 19976
11 19972
12 20101

About Ya-Wei Hsueh

Ya-Wei Hsueh is a scholar working on Molecular Biology, Organic Chemistry, Condensed Matter Physics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 351 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Sphingolipid Metabolism and Signaling (6 papers), Surfactants and Colloidal Systems (3 papers), Advanced Condensed Matter Physics (2 papers), Physics of Superconductivity and Magnetism (2 papers), Protein Structure and Dynamics (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Molecular Biology (306 citations), Microbiology (25 citations), Organic Chemistry (90 citations), Atomic and Molecular Physics, and Optics (74 citations) and Pharmaceutical Science (12 citations). Ya-Wei Hsueh has collaborated with scholars based in Taiwan, Canada and Armenia. Frequent co-authors include Jenifer Thewalt, Martin J. Zuckermann, Kyle M. Gilbert, Christa Trandum, Neil Kitson, Meiting Chen, Barbara J. Frisken, Philipus J. Patty, John Cheng and W. C. Wu. Their work appears in journals such as Biophysical Journal, Physical review. B, Condensed matter, Concepts in Magnetic Resonance Part A, Journal of Inorganic Biochemistry and Langmuir.

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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