Mary Ann Lukas
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- Michael B. FowlerWilson S. ColucciMilton PackerSarah YoungEdward M. GilbertJay N. CohnMichael R. BristowJonathan Sackner‐Bernstein
- Topics
- Heart Failure Treatment and Management (31 papers)Cardiac pacing and defibrillation studies (19 papers)Blood Pressure and Hypertension Studies (16 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismFamily Practice
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Mary Ann Lukas
59 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 3.0k
- Endocrinology, Diabetes and Metabolism 615
- Surgery 450
- Molecular Biology 325
- Epidemiology 259
Countries citing papers authored by Mary Ann Lukas
This map shows the geographic impact of Mary Ann Lukas'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 Mary Ann Lukas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ann Lukas more than expected).
Fields of papers citing papers by Mary Ann Lukas
This network shows the impact of papers produced by Mary Ann Lukas. 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 Mary Ann Lukas. The network helps show where Mary Ann Lukas may publish in the future.
Co-authorship network of co-authors of Mary Ann Lukas
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ann Lukas. A scholar is included among the top collaborators of Mary Ann Lukas 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 Mary Ann Lukas. Mary Ann Lukas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 10 | |
| 4 | 29 | |
| 5 | 20 | |
| 6 | 37 | |
| 7 | 40 | |
| 8 | 362 | |
| 9 | 38 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | Metabolic Effects of Carvedilol vs Metoprolol in Patients With Type 2 Diabetes Mellitus and Hypertensionbreakdown → | 536 |
| 18 | 53 | |
| 19 | 3 | |
| 20 | 171 |
About Mary Ann Lukas
Mary Ann Lukas is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Geriatrics and Gerontology, having authored 59 papers that have together received 3.7k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (31 papers), Cardiac pacing and defibrillation studies (19 papers) and Blood Pressure and Hypertension Studies (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.0k citations), Endocrinology, Diabetes and Metabolism (615 citations) and Family Practice (74 citations). Mary Ann Lukas has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael B. Fowler, Wilson S. Colucci, Milton Packer, Sarah Young, Edward M. Gilbert, Jay N. Cohn, Michael R. Bristow, Jonathan Sackner‐Bernstein, George L. Bakris and Vivian Fonseca. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.