Nikant Sabharwal
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Molecular Biology
- Co-authors
- Eylem LeveltTheodoros D. KaramitsosMasliza MahmodStefan NeubauerWilliam T. ClarkeJane M FrancisKieran ClarkeRina Ariga
- Topics
- Cardiovascular Function and Risk Factors (5 papers)Cardiac Imaging and Diagnostics (4 papers)Cardiac Valve Diseases and Treatments (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Partner nations
- United KingdomGreeceAustralia
In The Last Decade
Nikant Sabharwal
11 papers receiving 516 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 375
- Radiology, Nuclear Medicine and Imaging 131
- Endocrinology, Diabetes and Metabolism 124
- Surgery 123
- Molecular Biology 95
Countries citing papers authored by Nikant Sabharwal
This map shows the geographic impact of Nikant Sabharwal'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 Nikant Sabharwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikant Sabharwal more than expected).
Fields of papers citing papers by Nikant Sabharwal
This network shows the impact of papers produced by Nikant Sabharwal. 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 Nikant Sabharwal. The network helps show where Nikant Sabharwal may publish in the future.
Co-authorship network of co-authors of Nikant Sabharwal
This figure shows the co-authorship network connecting the top 25 collaborators of Nikant Sabharwal. A scholar is included among the top collaborators of Nikant Sabharwal 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 Nikant Sabharwal. Nikant Sabharwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 33 | |
| 5 | 167 | |
| 6 | 128 | |
| 7 | 180 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 |
About Nikant Sabharwal
Nikant Sabharwal is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 11 papers that have together received 525 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (375 citations), Endocrinology, Diabetes and Metabolism (124 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Nikant Sabharwal has collaborated with scholars based in United Kingdom, Greece and Australia. Frequent co-authors include Eylem Levelt, Theodoros D. Karamitsos, Masliza Mahmod, Stefan Neubauer, William T. Clarke, Jane M Francis, Kieran Clarke, Rina Ariga, Christopher T. Rodgers and Oliver J. Rider. Their work appears in journals such as Journal of the American College of Cardiology, Diabetes and European Heart Journal.
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.