Margaret Lee
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Oncology top 10%
- Organic Chemistry top 10%
- Materials Chemistry
- Co-authors
- Alexis A. BorisyJoseph LehárGrant R. ZimmermannEdward PriceRobert J. MacfarlaneAdrian HeilbutGlenn F. ShortAndrew Krueger
- Topics
- Nuclear Structure and Function (12 papers)Cancer Genomics and Diagnostics (9 papers)Gold and Silver Nanoparticles Synthesis and Applications (4 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Margaret Lee
54 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.3k
- Computational Theory and Mathematics 429
- Oncology 320
- Organic Chemistry 284
- Materials Chemistry 282
Countries citing papers authored by Margaret Lee
This map shows the geographic impact of Margaret 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 Margaret Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Lee more than expected).
Fields of papers citing papers by Margaret Lee
This network shows the impact of papers produced by Margaret 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 Margaret Lee. The network helps show where Margaret Lee may publish in the future.
Co-authorship network of co-authors of Margaret Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Lee. A scholar is included among the top collaborators of Margaret Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margaret Lee. Margaret Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 180 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 91 | |
| 11 | 26 | |
| 12 | Synergistic drug combinations tend to improve therapeutically relevant selectivitybreakdown → | 742 |
| 13 | 210 | |
| 14 | 473 | |
| 15 | 43 | |
| 16 | 11 | |
| 17 | 35 | |
| 18 | 92 | |
| 19 | 6 | |
| 20 | 3 |
About Margaret Lee
Margaret Lee is a scholar working on Cancer Research, Oncology and Internal Medicine, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nuclear Structure and Function (12 papers), Cancer Genomics and Diagnostics (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (429 citations), Biomaterials (276 citations) and Molecular Biology (1.3k citations). Margaret Lee has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Alexis A. Borisy, Joseph Lehár, Grant R. Zimmermann, Edward Price, Robert J. Macfarlane, Adrian Heilbut, Glenn F. Short, Andrew Krueger, Lisa M. Johansen and Curtis T. Keith. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.