Emily S. Lau
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Jennifer E. HoDaniel LevyMartin G. LarsonSamantha M. PaniaguaElizabeth LiuRamachandran S. VasanRudolf A. de BoerGregory D. Lewis
- Topics
- Cardiovascular Function and Risk Factors (22 papers)Cardiovascular Issues in Pregnancy (14 papers)Cardiac Imaging and Diagnostics (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCritical Care and Intensive Care Medicine
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Emily S. Lau
72 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cardiology and Cardiovascular Medicine 694
- Surgery 198
- Endocrinology, Diabetes and Metabolism 165
- Radiology, Nuclear Medicine and Imaging 161
- Public Health, Environmental and Occupational Health 141
Countries citing papers authored by Emily S. Lau
This map shows the geographic impact of Emily S. Lau'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 Emily S. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily S. Lau more than expected).
Fields of papers citing papers by Emily S. Lau
This network shows the impact of papers produced by Emily S. Lau. 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 Emily S. Lau. The network helps show where Emily S. Lau may publish in the future.
Co-authorship network of co-authors of Emily S. Lau
This figure shows the co-authorship network connecting the top 25 collaborators of Emily S. Lau. A scholar is included among the top collaborators of Emily S. Lau 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 Emily S. Lau. Emily S. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 27 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | Rethinking Menopausal Hormone Therapy: For Whom, What, When, and How Long?breakdown → | 76 |
| 14 | 2 | |
| 15 | 22 | |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 17 | |
| 19 | 20 | |
| 20 | 34 |
About Emily S. Lau
Emily S. Lau is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics and Obstetrics and Gynecology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (22 papers), Cardiovascular Issues in Pregnancy (14 papers) and Cardiac Imaging and Diagnostics (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (694 citations), Endocrinology, Diabetes and Metabolism (165 citations) and Critical Care and Intensive Care Medicine (42 citations). Emily S. Lau has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Jennifer E. Ho, Daniel Levy, Martin G. Larson, Samantha M. Paniagua, Elizabeth Liu, Ramachandran S. Vasan, Rudolf A. de Boer, Gregory D. Lewis, Michael J. Blaha and Leslie Cho. Their work appears in journals such as New England Journal of Medicine, Circulation and Nature Communications.
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.