Marie T. Brown
- Family Practice top 0.1%
- Geriatrics and Gerontology top 0.5%
- General Health Professions top 5%
- Economics and Econometrics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Suparna DuttaKatherine Finn DavisGeorge E. KikanoChristine A. SinskyKatherine E. Di PaloIleana L. PiñaJamie A. CvengrosNiteesh K. Choudhry
- Topics
- Medication Adherence and Compliance (5 papers)Pharmaceutical Practices and Patient Outcomes (4 papers)Health Systems, Economic Evaluations, Quality of Life (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Marie T. Brown
11 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Family Practice 878
- Geriatrics and Gerontology 399
- General Health Professions 331
- Economics and Econometrics 283
- Cardiology and Cardiovascular Medicine 272
Countries citing papers authored by Marie T. Brown
This map shows the geographic impact of Marie T. Brown'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 Marie T. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie T. Brown more than expected).
Fields of papers citing papers by Marie T. Brown
This network shows the impact of papers produced by Marie T. Brown. 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 Marie T. Brown. The network helps show where Marie T. Brown may publish in the future.
Co-authorship network of co-authors of Marie T. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Marie T. Brown. A scholar is included among the top collaborators of Marie T. Brown 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 Marie T. Brown. Marie T. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Addressing the Challenges of Vaccine Hesitancy Broadly and Related to COVID-19 Vaccines. | 4 |
| 2 | 43 | |
| 3 | 15 | |
| 4 | 258 | |
| 5 | Resolving patients' vaccination uncertainty: going from "no thanks!" to "of course!". | 1 |
| 6 | Medication Adherence: WHO Cares?breakdown → | 1355 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | Disease management and formulary compliance programs under the HIPAA privacy rule. | 1 |
| 11 | 14 |
About Marie T. Brown
Marie T. Brown is a scholar working on Family Practice, Geriatrics and Gerontology and Health Information Management, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medication Adherence and Compliance (5 papers), Pharmaceutical Practices and Patient Outcomes (4 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Family Practice (878 citations), Geriatrics and Gerontology (399 citations) and Psychiatry and Mental health (266 citations). Marie T. Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Suparna Dutta, Katherine Finn Davis, George E. Kikano, Christine A. Sinsky, Katherine E. Di Palo, Ileana L. Piña, Jamie A. Cvengros, Niteesh K. Choudhry, Laurie P. Whitsel and M. Reza Skandari. Their work appears in journals such as Annals of Internal Medicine, The American Journal of Medicine and Mayo Clinic Proceedings.
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.