Timothy Bi

636 citations
5 papers · 217 · h-index 4

Impact in

Papers in

    • Single-cell and spatial transcriptomics 1
    • Prion Diseases and Protein Misfolding 1
    • Protein Structure and Dynamics 1
    • Polyomavirus and related diseases 2

Timothy Bi

5 papers receiving 217 citations

Peers

Timothy Bi
Comparison fields: 5 of 65
  • Physiology 114
  • Biological Psychiatry 5
  • Molecular Biology 122
  • Neurology 14
  • Biomaterials 21
Replace H. Edward Wong with:
H. Edward Wong United States
Stephanie R Murphy United States
Tatsuki Yokoseki Japan
Michele Sanguanini United Kingdom
Michael C. Yoon United States
Paraskevi L. Tsiolaki Greece
Erik Hermansson Sweden
Sophie Allauzen United States
Hanna Willander Sweden
Cristina Visentin Italy
Timothy Bi relative to H. Edward Wong United States H. Edward Wong's profile →
Citations per field
00.5×1.7×
H. Edward Wong · 1×
Citations per year

Countries citing papers authored by Timothy Bi

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Timothy Bi, 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 Timothy Bi Line = papers co-authored together Timothy Bi links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2019123
2 202065
3
The Role of α-sheet in Amyloid Oligomer Aggregation and Toxicity.
201815
4 202411
5 20223

About Timothy Bi

Timothy Bi is a scholar working on Molecular Biology, Oncology, Physiology, Electrical and Electronic Engineering and Geometry and Topology, having authored 5 papers that have together received 217 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Polyomavirus and related diseases (2 papers), Microwave Engineering and Waveguides (2 papers), Full-Duplex Wireless Communications (1 paper), Single-cell and spatial transcriptomics (1 paper), Prion Diseases and Protein Misfolding (1 paper), T-cell and B-cell Immunology (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Physiology (114 citations), Biological Psychiatry (5 citations), Molecular Biology (122 citations), Neurology (14 citations) and Biomaterials (21 citations). Timothy Bi has collaborated with scholars based in United States, Switzerland and South Africa. Frequent co-authors include Valerie Daggett, Matthew C. Childers, Michael Mullan, Cheng-Chieh Hsu, Daniel Paris, Christopher D. Link, Gabriele Varani, Evan W. Newell, Valentin Voillet and Raphaël Gottardo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports Medicine, Cell Reports, Regular and Young Investigator Award Abstracts and PubMed.

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