Richeek Pradhan
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Surgery
- Co-authors
- Laurent AzoulayOriana Hoi Yun YuHui YinSonal SinghSamy SuissaAmit NautiyalDavid C. HoaglinHong Yu
- Topics
- Diabetes Treatment and Management (8 papers)Pancreatitis Pathology and Treatment (3 papers)Metabolism, Diabetes, and Cancer (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismInternal MedicineCardiology and Cardiovascular Medicine
- Journals
- PLoS ONEDiabetes CareGut
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Richeek Pradhan
29 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 159
- Molecular Biology 106
- Cardiology and Cardiovascular Medicine 106
- Epidemiology 104
- Surgery 69
Countries citing papers authored by Richeek Pradhan
This map shows the geographic impact of Richeek Pradhan'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 Richeek Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richeek Pradhan more than expected).
Fields of papers citing papers by Richeek Pradhan
This network shows the impact of papers produced by Richeek Pradhan. 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 Richeek Pradhan. The network helps show where Richeek Pradhan may publish in the future.
Co-authorship network of co-authors of Richeek Pradhan
This figure shows the co-authorship network connecting the top 25 collaborators of Richeek Pradhan. A scholar is included among the top collaborators of Richeek Pradhan 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 Richeek Pradhan. Richeek Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Effect of combination treatment with glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on incidence of cardiovascular and serious renal events: population based cohort studybreakdown → | 55 |
| 3 | 28 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 42 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 43 | |
| 15 | 7 | |
| 16 | 60 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 1 |
About Richeek Pradhan
Richeek Pradhan is a scholar working on Endocrinology, Diabetes and Metabolism, Applied Microbiology and Biotechnology and Statistics, Probability and Uncertainty, having authored 29 papers that have together received 545 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Pancreatitis Pathology and Treatment (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (159 citations), Internal Medicine (35 citations) and Cardiology and Cardiovascular Medicine (106 citations). Richeek Pradhan has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Laurent Azoulay, Oriana Hoi Yun Yu, Hui Yin, Sonal Singh, Samy Suissa, Amit Nautiyal, David C. Hoaglin, Hong Yu, Pierre Ernst and Weisong Liu. Their work appears in journals such as PLoS ONE, Diabetes Care and Gut.
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.