Rucha Mehta
- Statistics and Probability top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Cognitive Neuroscience
- Developmental and Educational Psychology top 10%
- Co-authors
- Jérôme PradoHongchuan ZhangAmy S. DesrochesJennifer MinasJames R. BoothVishwanath VenketaramanFrederick T. GuilfordJohn Kim
- Topics
- Diabetes Treatment and Management (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Liver Disease Diagnosis and Treatment (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetesInternational Journal of Molecular Sciences
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Rucha Mehta
13 papers receiving 465 citations
Peers
Comparison fields: 5 of 90
- Statistics and Probability 113
- Endocrinology, Diabetes and Metabolism 101
- Molecular Biology 99
- Cognitive Neuroscience 88
- Developmental and Educational Psychology 77
Countries citing papers authored by Rucha Mehta
This map shows the geographic impact of Rucha Mehta'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 Rucha Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rucha Mehta more than expected).
Fields of papers citing papers by Rucha Mehta
This network shows the impact of papers produced by Rucha Mehta. 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 Rucha Mehta. The network helps show where Rucha Mehta may publish in the future.
Co-authorship network of co-authors of Rucha Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Rucha Mehta. A scholar is included among the top collaborators of Rucha Mehta 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 Rucha Mehta. Rucha Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 39 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Impact of Union Budget on Stock Market | 1 |
| 8 | 17 | |
| 9 | 53 | |
| 10 | 26 | |
| 11 | 23 | |
| 12 | 137 | |
| 13 | 23 | |
| 14 | 126 |
About Rucha Mehta
Rucha Mehta is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism and Pharmacy, having authored 14 papers that have together received 475 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Statistics and Probability (113 citations), Transplantation (24 citations) and Developmental and Educational Psychology (77 citations). Rucha Mehta has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Jérôme Prado, Hongchuan Zhang, Amy S. Desroches, Jennifer Minas, James R. Booth, Vishwanath Venketaraman, Frederick T. Guilford, John Kim, Beatrice Saviola and Devin Morris. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and International Journal of Molecular Sciences.
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.