Winnie Chan

628 citations
10 papers · 552 · h-index 8

Impact in

    • Alzheimer's disease research and treatments
    • Cell death mechanisms and regulation
    • Protein Structure and Dynamics
    • Amyloidosis: Diagnosis, Treatment, Outcomes
    • Protein purification and stability

Papers in

Winnie Chan

9 papers receiving 522 citations

Peers

Winnie Chan
Comparison fields: 5 of 69
  • Physiology 184
  • Molecular Biology 358
  • Computational Theory and Mathematics 75
  • Pharmacology 63
  • Immunology and Allergy 21
Replace Carsten Krantz with:
Carsten Krantz Switzerland
Olivera M. Grbovic United States
Jeanne Baker United States
Susan M. Spitz United States
Sergei B. Aleshkov United States
Mary E. Huff United States
Ritsuko Oka Japan
Pauline Bourbon United States
Sarah A. Dorwin United States
Winnie Chan relative to Carsten Krantz Switzerland Carsten Krantz's profile →
Citations per field
00.5×1.5×2×2.3×
Carsten Krantz · 1×
Citations per year

Countries citing papers authored by Winnie Chan

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2000217
2 1996102
3 200773
4 199651
5 199632
6 199331
7 199629
8
Degeneration of amyloid precursor protein containing smooth muscle cells in cerebral amyloid angiopathy
199310
9 19947
10 20260

About Winnie Chan

Winnie Chan is a scholar working on Physiology, Physical and Theoretical Chemistry, Hematology, Cancer Research and Neurology, having authored 10 papers that have together received 552 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Biochemical and Structural Characterization (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Intracerebral and Subarachnoid Hemorrhage Research (1 paper), Mass Spectrometry Techniques and Applications (1 paper), thermodynamics and calorimetric analyses (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Physiology (184 citations), Molecular Biology (358 citations), Computational Theory and Mathematics (75 citations), Pharmacology (63 citations) and Immunology and Allergy (21 citations). Winnie Chan has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Ronald B. Wetzel, Stephen J. Wood, Mary E. Brawner, James A. Fornwald, Grace Lee, Matthew J. Todd, James K. Kranz, Barry A. Springer, Geoffrey T. Struble and Céline Schalk‐Hihi. Their work appears in journals such as Biochemistry, Protein Engineering Design and Selection, Journal of Biological Chemistry, SLAS DISCOVERY and Molecular Cancer Therapeutics.

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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