Megha Shah

56 papers and 1.2k indexed citations i.

About

Megha Shah is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Epidemiology. According to data from OpenAlex, Megha Shah has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 15 papers in General Health Professions and 12 papers in Epidemiology. Recurrent topics in Megha Shah’s work include Diabetes Management and Education (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Chronic Disease Management Strategies (9 papers). Megha Shah is often cited by papers focused on Diabetes Management and Education (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Chronic Disease Management Strategies (9 papers). Megha Shah collaborates with scholars based in United States, Canada and India. Megha Shah's co-authors include Mohammed K. Ali, Nikhila Gandrakota, Michele Heisler, Miranda A. Moore, Jeannie P. Cimiotti, Elizabeth Kaselitz, Trevor F. Moraes, J. Sonya Haw, Sara Turbow and Karen L. Maxwell and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Co-authorship network of co-authors of Megha Shah i

Fields of papers citing papers by Megha Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Megha Shah

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025