Megha Shah
- General Health Professions top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Clinical Psychology top 10%
- Epidemiology
- Co-authors
- Mohammed K. AliNikhila GandrakotaMiranda A. MooreJeannie P. CimiottiMichele HeislerElizabeth KaselitzJ. Sonya HawSara Turbow
- Topics
- Diabetes Management and Education (17 papers)Chronic Disease Management Strategies (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Megha Shah
55 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- General Health Professions 497
- Molecular Biology 285
- Endocrinology, Diabetes and Metabolism 243
- Clinical Psychology 207
- Epidemiology 166
Countries citing papers authored by Megha Shah
This map shows the geographic impact of Megha 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 Megha Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megha Shah more than expected).
Fields of papers citing papers by Megha Shah
This network shows the impact of papers produced by Megha 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 Megha Shah. The network helps show where Megha Shah may publish in the future.
Co-authorship network of co-authors of Megha Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Megha Shah. A scholar is included among the top collaborators of Megha 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 Megha Shah. Megha 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 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 52 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 69 | |
| 11 | 5 | |
| 12 | 27 | |
| 13 | Blockchain Technology: A Way Ahead in Insurance Sector | 0 |
| 14 | 3 | |
| 15 | 54 | |
| 16 | The Impact of Various Responsibilities of the Auditors in Context of Independence and Impartiality:A Perception of Accounting Professionals | 1 |
| 17 | 30 | |
| 18 | 42 | |
| 19 | 3 | |
| 20 | 29 |
About Megha Shah
Megha Shah is a scholar working on Pharmacy, Endocrinology, Diabetes and Metabolism and Research and Theory, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Management and Education (17 papers), Chronic Disease Management Strategies (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Research and Theory (60 citations), General Health Professions (497 citations) and Business and International Management (36 citations). Megha Shah has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Mohammed K. Ali, Nikhila Gandrakota, Miranda A. Moore, Jeannie P. Cimiotti, Michele Heisler, Elizabeth Kaselitz, J. Sonya Haw, Sara Turbow, Guillermo E. Umpierrez and Trevor F. Moraes. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.
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.