Christina E. Lee
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Cellular Mechanics and Interactions 3
- Cellular transport and secretion 2
-
- Protein Degradation and Inhibitors 1
- Co-authors
- Jonathan A. Ellman (2 shared papers)Mukesh Kumar (1 shared paper)Tamta Arakhamia (1 shared paper)Dewight Williams (1 shared paper)Yari Carlomagno (1 shared paper)Michael DeTure (1 shared paper)Hendrik Wesseling (1 shared paper)Kevin Wang (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Nature Communications (1 paper)Journal of Medicinal Chemistry (1 paper)Nano Letters (1 paper)Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Christina E. Lee
8 papers receiving 590 citations
Christina E. Lee's Hit Papers
Peers
Comparison fields: 5 of 71
- Physiology 228
- Neurology 46
- Computational Theory and Mathematics 81
- Molecular Biology 321
- Cell Biology 70
Countries citing papers authored by Christina E. Lee
This map shows the geographic impact of Christina E. Lee'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 Christina E. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina E. Lee more than expected).
Fields of papers citing papers by Christina E. Lee
This network shows the impact of papers produced by Christina E. Lee. 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 Christina E. Lee. The network helps show where Christina E. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Christina E. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Posttranslational Modifications Mediate the Structural Diversity of Tauopathy Strains Hit paper breakdown → | 2020 | 301 |
| 2 | 1999 | 135 | |
| 3 | 1998 | 46 | |
| 4 | 2023 | 43 | |
| 5 | 2023 | 33 | |
| 6 | 1999 | 23 | |
| 7 | 2023 | 17 | |
| 8 | 2025 | 3 | |
| 9 | 2026 | 0 |
About Christina E. Lee
Christina E. Lee is a scholar working on Cell Biology, Molecular Biology, Immunology and Allergy, Organic Chemistry and Physiology, having authored 9 papers that have together received 601 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Cellular Mechanics and Interactions (3 papers), Cellular transport and secretion (2 papers), Alzheimer's disease research and treatments (1 paper), Organometallic Complex Synthesis and Catalysis (1 paper), Click Chemistry and Applications (1 paper), Protein Degradation and Inhibitors (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Physiology (228 citations), Neurology (46 citations), Computational Theory and Mathematics (81 citations), Molecular Biology (321 citations) and Cell Biology (70 citations). Christina E. Lee has collaborated with scholars based in United States and China. Frequent co-authors include Jonathan A. Ellman, Mukesh Kumar, Tamta Arakhamia, Dewight Williams, Yari Carlomagno, Michael DeTure, Hendrik Wesseling, Kevin Wang, Duc M. Duong and Dennis W. Dickson. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Journal of Medicinal Chemistry, Nano Letters and Cell.
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.