Alexandra Lee
Impact in
Papers in
-
- Single-cell and spatial transcriptomics 3
- Bacterial biofilms and quorum sensing 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Eric A. Macklin (2 shared papers)Merit Cudkowicz (3 shared papers)Nazem Atassi (3 shared papers)Amanda Daley (1 shared paper)Sabrina Paganoni (1 shared paper)Richard H. Scheuermann (7 shared papers)Daniel Archambault (3 shared papers)Deborah A. Hogan (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)International Journal for Population Data Science (2 papers)Neurology (2 papers)mSystems (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Alexandra Lee
39 papers receiving 757 citations
Peers
Comparison fields: 5 of 116
- Neurology 162
- Genetics 73
- Public Health, Environmental and Occupational Health 111
- Infectious Diseases 64
- Molecular Biology 201
Countries citing papers authored by Alexandra Lee
This map shows the geographic impact of Alexandra 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 Alexandra Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Lee more than expected).
Fields of papers citing papers by Alexandra Lee
This network shows the impact of papers produced by Alexandra 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 Alexandra Lee. The network helps show where Alexandra Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandra 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 149 | |
| 2 | 2018 | 81 | |
| 3 | 2016 | 42 | |
| 4 | 2013 | 40 | |
| 5 | 2020 | 38 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 27 | |
| 8 | 2023 | 25 | |
| 9 | 2019 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2018 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2018 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2017 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2018 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 14 | |
| 20 | 2018 | 13 |
About Alexandra Lee
Alexandra Lee is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, General Health Professions and Ecology, having authored 40 papers that have together received 766 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Bacterial biofilms and quorum sensing (3 papers), Microbial Community Ecology and Physiology (3 papers), Complex Network Analysis Techniques (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Data Visualization and Analytics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Neurology (162 citations), Genetics (73 citations), Public Health, Environmental and Occupational Health (111 citations), Infectious Diseases (64 citations) and Molecular Biology (201 citations). Alexandra Lee has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Eric A. Macklin, Merit Cudkowicz, Nazem Atassi, Amanda Daley, Sabrina Paganoni, Richard H. Scheuermann, Daniel Archambault, Deborah A. Hogan, Karin E. Tobin and Casey S. Greene. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, International Journal for Population Data Science, Neurology and mSystems.
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.