Shiva Sreenivasan
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Physiology
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Monica MonaghanAdrián BaranchukGregory DendramisDaniel D. AnselmDavid G. BendittÉamon P McCarronAnkit MaheshwariHéctor Barajas-Martínez
- Topics
- Cardiac electrophysiology and arrhythmias (4 papers)ECG Monitoring and Analysis (3 papers)Ion channel regulation and function (2 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaThe American Journal of Cardiology
- Partner nations
- United KingdomSpainCanada
In The Last Decade
Shiva Sreenivasan
12 papers receiving 549 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 193
- Epidemiology 133
- Physiology 129
- Molecular Biology 116
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by Shiva Sreenivasan
This map shows the geographic impact of Shiva Sreenivasan'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 Shiva Sreenivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiva Sreenivasan more than expected).
Fields of papers citing papers by Shiva Sreenivasan
This network shows the impact of papers produced by Shiva Sreenivasan. 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 Shiva Sreenivasan. The network helps show where Shiva Sreenivasan may publish in the future.
Co-authorship network of co-authors of Shiva Sreenivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Sreenivasan. A scholar is included among the top collaborators of Shiva Sreenivasan 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 Shiva Sreenivasan. Shiva Sreenivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | Pathophysiology of the metabolic syndromebreakdown → | 519 |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 5 |
About Shiva Sreenivasan
Shiva Sreenivasan is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 12 papers that have together received 566 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), ECG Monitoring and Analysis (3 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (193 citations), Biochemistry (33 citations) and Physiology (129 citations). Shiva Sreenivasan has collaborated with scholars based in United Kingdom, Spain and Canada. Frequent co-authors include Monica Monaghan, Adrián Baranchuk, Gregory Dendramis, Daniel D. Anselm, David G. Benditt, Éamon P McCarron, Ankit Maheshwari, Héctor Barajas-Martínez, José Manuel Rubio Campal and Jefferson R. Wilson. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The American Journal of Cardiology.
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.