Mona Shah
- Epidemiology
- Cognitive Neuroscience top 10%
- General Health Professions top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- José J. EscarceThomas S. RectorMichele A. BertocciArthur S. WaltersMary WagnerDaniel L. PicchiettiRonald E. DahlWayne A. Hening
- Topics
- Healthcare Policy and Management (9 papers)Diabetes Management and Research (6 papers)Primary Care and Health Outcomes (5 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Mona Shah
19 papers receiving 658 citations
Peers
Comparison fields: 5 of 101
- Epidemiology 229
- Cognitive Neuroscience 147
- General Health Professions 119
- Endocrinology, Diabetes and Metabolism 118
- Psychiatry and Mental health 108
Countries citing papers authored by Mona Shah
This map shows the geographic impact of Mona Shah'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 Mona Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Shah more than expected).
Fields of papers citing papers by Mona Shah
This network shows the impact of papers produced by Mona Shah. 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 Mona Shah. The network helps show where Mona Shah may publish in the future.
Co-authorship network of co-authors of Mona Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Mona Shah. A scholar is included among the top collaborators of Mona Shah 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 Mona Shah. Mona Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 19 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | Boosting workplace wellness programs with financial incentives. | 8 |
| 6 | 4 | |
| 7 | 30 | |
| 8 | 2 | |
| 9 | 37 | |
| 10 | Comparison and Correlation of Glucose Levels in Serum and Saliva of Both Diabetic and Non-diabetic Patients. | 22 |
| 11 | 14 | |
| 12 | 23 | |
| 13 | Behavioral healthcare services use in health savings accounts versus traditional health plans. | 4 |
| 14 | 55 | |
| 15 | Impact of HMO withdrawals on vulnerable Medicare beneficiaries. | 6 |
| 16 | 59 | |
| 17 | 166 | |
| 18 | Insights into problems obtaining care believed necessary as measured by the Medicaid Consumer Assessment of Health Plans Survey (CAHPS). | 2 |
| 19 | 211 |
About Mona Shah
Mona Shah is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics and General Health Professions, having authored 19 papers that have together received 696 indexed citations. Recurring topics across this work include Healthcare Policy and Management (9 papers), Diabetes Management and Research (6 papers) and Primary Care and Health Outcomes (5 papers). The work is most often cited by research in Family Practice (22 citations), Experimental and Cognitive Psychology (104 citations) and Cognitive Neuroscience (147 citations). Mona Shah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include José J. Escarce, Thomas S. Rector, Michele A. Bertocci, Arthur S. Walters, Mary Wagner, Daniel L. Picchietti, Ronald E. Dahl, Wayne A. Hening, Steven L. Wickstrom and John Adams. Their work appears in journals such as Clinical Infectious Diseases, Movement Disorders and Health Affairs.
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.