Supriya Ganguli
- Molecular Biology
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Pediatrics, Perinatology and Child Health
- Co-authors
- Mark A. SperlingLiang LiNajia JinDarl R. SwartzZhiqian WangRodney A. RhoadesMadhur K. SinhaSherin U. Devaskar
- Topics
- Diabetes Treatment and Management (8 papers)Birth, Development, and Health (6 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers)
- Journals
- DiabetesEndocrinologyLife Sciences
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Supriya Ganguli
30 papers receiving 449 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 169
- Physiology 131
- Endocrinology, Diabetes and Metabolism 128
- Pulmonary and Respiratory Medicine 92
- Pediatrics, Perinatology and Child Health 85
Countries citing papers authored by Supriya Ganguli
This map shows the geographic impact of Supriya Ganguli'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 Supriya Ganguli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Ganguli more than expected).
Fields of papers citing papers by Supriya Ganguli
This network shows the impact of papers produced by Supriya Ganguli. 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 Supriya Ganguli. The network helps show where Supriya Ganguli may publish in the future.
Co-authorship network of co-authors of Supriya Ganguli
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Ganguli. A scholar is included among the top collaborators of Supriya Ganguli 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 Supriya Ganguli. Supriya Ganguli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 120 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 49 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | Serotonin regulation of palatal cell motility and metabolism. | 16 |
| 17 | 14 | |
| 18 | 36 | |
| 19 | 11 | |
| 20 | 12 |
About Supriya Ganguli
Supriya Ganguli is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 488 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Birth, Development, and Health (6 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (128 citations), Endocrine and Autonomic Systems (41 citations) and Physiology (131 citations). Supriya Ganguli has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Mark A. Sperling, Liang Li, Najia Jin, Darl R. Swartz, Zhiqian Wang, Rodney A. Rhoades, Madhur K. Sinha, Sherin U. Devaskar, N. Leslie and John D. Miller. Their work appears in journals such as Diabetes, Endocrinology and Life 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.