Ashvarya Mangla
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Complementary and alternative medicine top 10%
- Physiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- DeJuran RichardsonLynda H. PowellElizabeth AveryRami DoukkyMarie‐France PoulinF. ColladoKim A. WilliamsDinesh Kalra
- Topics
- Heart Failure Treatment and Management (4 papers)Infective Endocarditis Diagnosis and Management (3 papers)Cardiac Valve Diseases and Treatments (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineFamily PracticeComplementary and alternative medicine
- Partner nations
- United StatesCanada
In The Last Decade
Ashvarya Mangla
10 papers receiving 280 citations
Peers
Comparison fields: 5 of 59
- Cardiology and Cardiovascular Medicine 203
- Pulmonary and Respiratory Medicine 59
- Complementary and alternative medicine 53
- Physiology 45
- Radiology, Nuclear Medicine and Imaging 44
Countries citing papers authored by Ashvarya Mangla
This map shows the geographic impact of Ashvarya Mangla'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 Ashvarya Mangla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashvarya Mangla more than expected).
Fields of papers citing papers by Ashvarya Mangla
This network shows the impact of papers produced by Ashvarya Mangla. 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 Ashvarya Mangla. The network helps show where Ashvarya Mangla may publish in the future.
Co-authorship network of co-authors of Ashvarya Mangla
This figure shows the co-authorship network connecting the top 25 collaborators of Ashvarya Mangla. A scholar is included among the top collaborators of Ashvarya Mangla 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 Ashvarya Mangla. Ashvarya Mangla 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 | 1 | |
| 4 | 0 | |
| 5 | 51 | |
| 6 | 22 | |
| 7 | 66 | |
| 8 | 92 | |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 26 |
About Ashvarya Mangla
Ashvarya Mangla is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 286 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (4 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Family Practice (15 citations) and Complementary and alternative medicine (53 citations). Ashvarya Mangla has collaborated with scholars based in United States and Canada. Frequent co-authors include DeJuran Richardson, Lynda H. Powell, Elizabeth Avery, Rami Doukky, Marie‐France Poulin, F. Collado, Kim A. Williams, Dinesh Kalra, Estefanía Oliveros and Jonathan Kaplan. Their work appears in journals such as The American Journal of Cardiology, American Heart Journal and Heart.
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.