Sanjay M Banypersad
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Nephrology top 0.5%
- Physiology top 5%
- Co-authors
- James MoonPhilip N. HawkinsMarianna FontanaCarol WhelanViviana MaestriniDaniel SadoAshutosh WechalekarStefan K. Piechnik
- Topics
- Amyloidosis: Diagnosis, Treatment, Outcomes (23 papers)Parathyroid Disorders and Treatments (11 papers)Lanthanide and Transition Metal Complexes (7 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Sanjay M Banypersad
35 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 1.6k
- Molecular Biology 1.5k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Nephrology 830
- Physiology 481
Countries citing papers authored by Sanjay M Banypersad
This map shows the geographic impact of Sanjay M Banypersad'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 Sanjay M Banypersad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay M Banypersad more than expected).
Fields of papers citing papers by Sanjay M Banypersad
This network shows the impact of papers produced by Sanjay M Banypersad. 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 Sanjay M Banypersad. The network helps show where Sanjay M Banypersad may publish in the future.
Co-authorship network of co-authors of Sanjay M Banypersad
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay M Banypersad. A scholar is included among the top collaborators of Sanjay M Banypersad 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 Sanjay M Banypersad. Sanjay M Banypersad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 75 | |
| 3 | 131 | |
| 4 | 268 | |
| 5 | 13 | |
| 6 | Noncontrast T1 Mapping for the Diagnosis of Cardiac Amyloidosisbreakdown → | 475 |
| 7 | 48 | |
| 8 | 7 | |
| 9 | 222 | |
| 10 | Identification and Assessment of Anderson-Fabry Disease by Cardiovascular Magnetic Resonance Noncontrast Myocardial T1 Mappingbreakdown → | 365 |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 48 | |
| 15 | 41 | |
| 16 | 239 | |
| 17 | 192 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 1 |
About Sanjay M Banypersad
Sanjay M Banypersad is a scholar working on Nephrology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 3.2k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (23 papers), Parathyroid Disorders and Treatments (11 papers) and Lanthanide and Transition Metal Complexes (7 papers). The work is most often cited by research in Nephrology (830 citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Sanjay M Banypersad has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include James Moon, Philip N. Hawkins, Marianna Fontana, Carol Whelan, Viviana Maestrini, Daniel Sado, Ashutosh Wechalekar, Stefan K. Piechnik, Andrew Flett and Stefan Neubauer. Their work appears in journals such as Blood, Journal of the American College of Cardiology and Radiology.
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.