Shereeni J. Veerasingham
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Mohan K. RaizadaFrans H. H. LeenenBing HuangJun Ming WangJunhui TanJ. Michael WyssMasanobu YamazatoKathleen H. Berecek
- Topics
- Renin-Angiotensin System Studies (7 papers)Receptor Mechanisms and Signaling (5 papers)Nuclear Receptors and Signaling (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- CanadaUnited States
In The Last Decade
Shereeni J. Veerasingham
9 papers receiving 433 citations
Peers
Comparison fields: 5 of 55
- Cardiology and Cardiovascular Medicine 293
- Molecular Biology 151
- Endocrinology, Diabetes and Metabolism 145
- Surgery 77
- Endocrine and Autonomic Systems 73
Countries citing papers authored by Shereeni J. Veerasingham
This map shows the geographic impact of Shereeni J. Veerasingham'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 Shereeni J. Veerasingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shereeni J. Veerasingham more than expected).
Fields of papers citing papers by Shereeni J. Veerasingham
This network shows the impact of papers produced by Shereeni J. Veerasingham. 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 Shereeni J. Veerasingham. The network helps show where Shereeni J. Veerasingham may publish in the future.
Co-authorship network of co-authors of Shereeni J. Veerasingham
This figure shows the co-authorship network connecting the top 25 collaborators of Shereeni J. Veerasingham. A scholar is included among the top collaborators of Shereeni J. Veerasingham 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 Shereeni J. Veerasingham. Shereeni J. Veerasingham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 15 | |
| 3 | 211 | |
| 4 | 13 | |
| 5 | 41 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 53 | |
| 9 | 26 |
About Shereeni J. Veerasingham
Shereeni J. Veerasingham is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 435 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Receptor Mechanisms and Signaling (5 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (293 citations), Endocrine and Autonomic Systems (73 citations) and Endocrinology, Diabetes and Metabolism (145 citations). Shereeni J. Veerasingham has collaborated with scholars based in Canada and United States. Frequent co-authors include Mohan K. Raizada, Frans H. H. Leenen, Bing Huang, Jun Ming Wang, Junhui Tan, J. Michael Wyss, Masanobu Yamazato, Kathleen H. Berecek, Beverly L. Falcón and Colin Sumners. Their work appears in journals such as Circulation Research, Brain Research and Hypertension.
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.