Meeta Sharma
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Medicine top 5%
- Molecular Biology
- Endocrinology top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Kenneth D. BurmanLeonard WartofskySilvio E. InzucchiJoyce KuntzeGerhard BaumannJoyce BaptistaLawrence S. PhillipsE. Chester Ridgway
- Topics
- Diabetes Management and Research (3 papers)Pituitary Gland Disorders and Treatments (3 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers)
- Cited by
- Molecular MedicineApplied Microbiology and BiotechnologyEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismThyroid
- Partner nations
- United StatesIndia
In The Last Decade
Meeta Sharma
13 papers receiving 347 citations
Peers
Comparison fields: 5 of 56
- Endocrinology, Diabetes and Metabolism 191
- Molecular Medicine 106
- Molecular Biology 66
- Endocrinology 57
- Cardiology and Cardiovascular Medicine 45
Countries citing papers authored by Meeta Sharma
This map shows the geographic impact of Meeta Sharma'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 Meeta Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meeta Sharma more than expected).
Fields of papers citing papers by Meeta Sharma
This network shows the impact of papers produced by Meeta Sharma. 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 Meeta Sharma. The network helps show where Meeta Sharma may publish in the future.
Co-authorship network of co-authors of Meeta Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Meeta Sharma. A scholar is included among the top collaborators of Meeta Sharma 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 Meeta Sharma. Meeta Sharma 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 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 58 | |
| 8 | PREVALENCE AND ANTIMICROBIAL SUSCEPTIBILITY OF ENTEROCOCCUS SPECIES ISOLATED FROM DIFFERENT CLINICAL SAMPLES IN A TERTIARY CARE HOSPITAL OF NORTH INDIA | 13 |
| 9 | 108 | |
| 10 | 22 | |
| 11 | 7 | |
| 12 | 135 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 1 |
About Meeta Sharma
Meeta Sharma is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Molecular Medicine, having authored 16 papers that have together received 365 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers). The work is most often cited by research in Molecular Medicine (106 citations), Applied Microbiology and Biotechnology (38 citations) and Endocrinology, Diabetes and Metabolism (191 citations). Meeta Sharma has collaborated with scholars based in United States and India. Frequent co-authors include Kenneth D. Burman, Leonard Wartofsky, Silvio E. Inzucchi, Joyce Kuntze, Gerhard Baumann, Joyce Baptista, Lawrence S. Phillips, E. Chester Ridgway, Michael O. Thorner and Beverly M. K. Biller. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Thyroid.
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.